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Most recent job postings at scikit-learn
via Karkidi
schedule_type: Full-timesalary: 120K–190K a yearwork_from_home: 1
The AI/ML team is a newly formed team at Moneymart. The team is diverse, passionate and on a mission to build state of the art Artificial Intelligence(AI) and Machin Learning(ML) models that support all facets of the growing digital and retail business. We are just getting started on building a Machine Learning platform as well as customer 360 profile with modern technology so this is a huge... opportunity to shape the future vision of the company.
The AI/ML team is a newly formed team at Moneymart. The team is diverse, passionate and on a mission to build state of the art Artificial Intelligence(AI) and Machin Learning(ML) models that support all facets of the growing digital and retail business. We are just getting started on building a Machine Learning platform as well as customer 360 profile with modern technology so this is a huge... opportunity to shape the future vision of the company. If you are looking for a growth opportunity and working with talented individuals come join us! We value collaboration, take ownership mindset and the importance of thinking like an engineer with the curiosity of a scientist.
• Responsible for AI/ML model development and deployment
• Work on a modern AI/ML platform
• Evangelize AI and ML across the company as we make the AI transformation of the company
• Work in a cross functional capacity across all business units including product, marketing, operations, risk, fraud, compliance and finance
• Use every dataset at disposal to build a feature store for AI/ML models as well as a customer 360 profile
• Leverage software engineering best practices for quality, scalability, maintainability and robustness
• Scope and build model monitoring services for the team
Qualifications
• Master’s degree (PhD. Preferred) in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Physics, Computer Science, Operations Research or Engineering
• 2-5 years experience with building and deploying ML models into production
• Strong development experience with Python is a must along with ML libraries (pandas, numpy, scikit learn, tensorflow)
• Familiarity with H2O, Azure ML and Amazon Services
• Experience in SQL and database optimization
• Ability to thrive in in a fast paced, team oriented environment
• Experience with deep learning frameworks such as Tensorflow or Pytorch is nice to have
• Experience working in a fintech or finance/banking is nice to have but not required Show more details...
• Responsible for AI/ML model development and deployment
• Work on a modern AI/ML platform
• Evangelize AI and ML across the company as we make the AI transformation of the company
• Work in a cross functional capacity across all business units including product, marketing, operations, risk, fraud, compliance and finance
• Use every dataset at disposal to build a feature store for AI/ML models as well as a customer 360 profile
• Leverage software engineering best practices for quality, scalability, maintainability and robustness
• Scope and build model monitoring services for the team
Qualifications
• Master’s degree (PhD. Preferred) in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Physics, Computer Science, Operations Research or Engineering
• 2-5 years experience with building and deploying ML models into production
• Strong development experience with Python is a must along with ML libraries (pandas, numpy, scikit learn, tensorflow)
• Familiarity with H2O, Azure ML and Amazon Services
• Experience in SQL and database optimization
• Ability to thrive in in a fast paced, team oriented environment
• Experience with deep learning frameworks such as Tensorflow or Pytorch is nice to have
• Experience working in a fintech or finance/banking is nice to have but not required Show more details...
via Lever
schedule_type: Full-time
Our mission is to power the future of fan engagement.
Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining. Our technology powers micro-betting capabilities of the leading operators... around the globe.
Simplebet is looking for a Machine
Our mission is to power the future of fan engagement.
Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining. Our technology powers micro-betting capabilities of the leading operators... around the globe.
Simplebet is looking for a Machine Learning Engineer to build and support the machine learning models and infrastructure that power our micro betting experiences. As we grow our business to cover new sports, new betting markets, and new sportsbook partners, you will be integral in ensuring that we are providing our partners with best-in-class sports betting models.
We’ll Trust You To:
• Build machine learning models to predict sports outcomes and power sports betting markets
• Contribute to systems that support the full machine learning lifecycle, including research, iteration, model deployment, low-latency prediction, and model observability
• Design and implement mathematical solutions that enable accurately pricing novel sports betting markets
You’ll Need To Have:
• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or Software Engineer
• Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
• Strong software engineering skills and experience implementing scalable machine learning solutions in production
• A passion for sports (e.g. NFL, MLB, NBA)
• Strong understanding of statistics and machine learning
Bonus Points For:
• Experience working across data and product teams
• Experience with machine learning observability and explainability
• Experience with Databricks
• Projects involving creative analysis of sports data
• Experience in sports betting
What We Offer:
• Competitive salary, vacation, and equity commensurate to experience
• Health, dental, and vision insurance
• 401k match
• Starting base salary is $150,000, but may vary depending on experience.
Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it Show more details...
Simplebet is a B2B sports technology company that uses machine learning and real-time solutions to make every moment of every sporting event a betting opportunity. We’re reimagining how people enjoy sports with products that are simple, intuitive, and entertaining. Our technology powers micro-betting capabilities of the leading operators... around the globe.
Simplebet is looking for a Machine Learning Engineer to build and support the machine learning models and infrastructure that power our micro betting experiences. As we grow our business to cover new sports, new betting markets, and new sportsbook partners, you will be integral in ensuring that we are providing our partners with best-in-class sports betting models.
We’ll Trust You To:
• Build machine learning models to predict sports outcomes and power sports betting markets
• Contribute to systems that support the full machine learning lifecycle, including research, iteration, model deployment, low-latency prediction, and model observability
• Design and implement mathematical solutions that enable accurately pricing novel sports betting markets
You’ll Need To Have:
• 4+ years of experience as a Machine Learning Engineer, Data Scientist, or Software Engineer
• Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch, SHAP)
• Strong software engineering skills and experience implementing scalable machine learning solutions in production
• A passion for sports (e.g. NFL, MLB, NBA)
• Strong understanding of statistics and machine learning
Bonus Points For:
• Experience working across data and product teams
• Experience with machine learning observability and explainability
• Experience with Databricks
• Projects involving creative analysis of sports data
• Experience in sports betting
What We Offer:
• Competitive salary, vacation, and equity commensurate to experience
• Health, dental, and vision insurance
• 401k match
• Starting base salary is $150,000, but may vary depending on experience.
Simplebet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We are committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Please let us know if you require reasonable accommodation for the interview process, and we will make every effort to provide it Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a year
Position Summary...
What you'll do...
About us:
You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, bing, facebook, pinterest, etc.) to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel
Position Summary...
What you'll do...
About us:
You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, bing, facebook, pinterest, etc.) to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel Wal-Mart customers.
What you’ll do...
• As a machine learning platform team, we are responsible for
• Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and deploying machine learning models.
• Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models, evaluate model performance by A/B test etc.
• Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionization to visualization.
• Building and deploying scalable machine learning API services.
• Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform.
• You will be working as Tech Lead on our backend services for end to end machine learning platform.
We would like you to have…
• Proficiency in at least one programming language, such as python, Java, C++, JavaScript
• Good understanding of data structures and algorithms
• Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.
• Knowledge and experience in Linux, public cloud computing, docker, kubernetes
• Experience in REST API service development
• Experience in machine learning operations and model serving platform will be a plus
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch Show more details...
What you'll do...
About us:
You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, bing, facebook, pinterest, etc.) to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel Wal-Mart customers.
What you’ll do...
• As a machine learning platform team, we are responsible for
• Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and deploying machine learning models.
• Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models, evaluate model performance by A/B test etc.
• Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model productionization to visualization.
• Building and deploying scalable machine learning API services.
• Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform.
• You will be working as Tech Lead on our backend services for end to end machine learning platform.
We would like you to have…
• Proficiency in at least one programming language, such as python, Java, C++, JavaScript
• Good understanding of data structures and algorithms
• Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.
• Knowledge and experience in Linux, public cloud computing, docker, kubernetes
• Experience in REST API service development
• Experience in machine learning operations and model serving platform will be a plus
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a year
At Sam's Club, we are democratizing AI across all major functions in the business and radically disrupting conventional industry practices.
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time... while raising the quality bar on AI/ML shipped services.
This
At Sam's Club, we are democratizing AI across all major functions in the business and radically disrupting conventional industry practices.
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time... while raising the quality bar on AI/ML shipped services.
This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the Retail space and translate their solutions into a direct impact on the business and on Members.
Responsibilities
• Helps define MLOps processes and assists product teams with adoption
• Qualifying new product business cases to ensure that proposed solutions will deliver required business benefits to clients
• Collaborates with Product Managers, Data Scientists and other architects to design end-to-end Applied Intelligence solutions, including areas such as data engineering, advanced analytics, visualization, modeling, serving, observability, and operations.
• Identifies innovative R&D approaches to solving major Machine Learning (ML) or Artificial Intelligence (AI) challenges
• Design, develop, architect and deploy enterprise solutions
• Employ AI/ML architectural knowledge DevOps standards to achieve Data Science objectives (e.g., developing a feature store, training/deploying ML models, etc.)
• Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines, etc.)
• Ensure platform is scalable, reliable, and performant
Required
• MS degree in Computer Science or related field
• Demonstrable expertise in computer science and software development fundamentals (data structures, algorithms, distributed computation, databases, etc.)
• Understanding of Data & Analytics, Visualization, AI/ML techniques, data management and governance, DevOps/MLOps best practices, and proven experience in designing, implementing and deploying complex, large-scale solution in these areas
• Experience in building batch and streaming data pipelines
• Experience working in Agile/Scrum setup
• Proficiency in modern languages and platforms supporting big data and ML (Python, Scala/Java, Go, Spark, Kafka, Airflow, Kubeflow, Beam, etc.)
• Experience of SQL and NoSQL database technologies.
• Familiarity with product development life cycle
• Experience working with development and deployment tools, processes, approaches and/or techniques
• Knowledge in a broad spectrum of architecture domains including Data Architecture, Infrastructure Architecture, Application Architecture, Security Architecture, and Integration Architecture
• Knowledge in cloud and infrastructure - K8S, serverless, API, NoSQL
Preference for Candidates with:
• Ability to identify business requirements and determine operational impacts and needed system changes
• Hands on experience in building and maintaining enterprise-grade CI/CD pipelines
• Experience deploying applications in GCP and Azure
• Large-scale project experience incorporating all levels of architecture development
• Knowledge of infrastructure architecture, including servers, SAN, networking, firewalls, database and middleware
• Background in open-source products in the dev ops and machine learning space
• Knowledge of architecture standards and how they relate to our data science products
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Primary Location...
835 MARTIN LUTHER KING JR DRIVE NW, ATLANTA, GA 30314-3602, United States of America Show more details...
Our Data Science team is building a first-in-class platform of tools and services covering high-performance computing, ML training services, DevOps, model deployment, and metadata capture. Our goal is to decrease AI/ML development and training cycle time... while raising the quality bar on AI/ML shipped services.
This is a hands-on position where you will be empowered to be creative, ambitious, and bold. Our mission on the Data Science team is to provide deep computing expertise, automated workflows, production-grade infrastructure, and helpful tooling to enable the AI/ML team and our partners to solve cutting-edge research problems in the Retail space and translate their solutions into a direct impact on the business and on Members.
Responsibilities
• Helps define MLOps processes and assists product teams with adoption
• Qualifying new product business cases to ensure that proposed solutions will deliver required business benefits to clients
• Collaborates with Product Managers, Data Scientists and other architects to design end-to-end Applied Intelligence solutions, including areas such as data engineering, advanced analytics, visualization, modeling, serving, observability, and operations.
• Identifies innovative R&D approaches to solving major Machine Learning (ML) or Artificial Intelligence (AI) challenges
• Design, develop, architect and deploy enterprise solutions
• Employ AI/ML architectural knowledge DevOps standards to achieve Data Science objectives (e.g., developing a feature store, training/deploying ML models, etc.)
• Implement standard DevOps tools (e.g., Git, Jenkins, Docker, CI/CD pipelines, etc.)
• Ensure platform is scalable, reliable, and performant
Required
• MS degree in Computer Science or related field
• Demonstrable expertise in computer science and software development fundamentals (data structures, algorithms, distributed computation, databases, etc.)
• Understanding of Data & Analytics, Visualization, AI/ML techniques, data management and governance, DevOps/MLOps best practices, and proven experience in designing, implementing and deploying complex, large-scale solution in these areas
• Experience in building batch and streaming data pipelines
• Experience working in Agile/Scrum setup
• Proficiency in modern languages and platforms supporting big data and ML (Python, Scala/Java, Go, Spark, Kafka, Airflow, Kubeflow, Beam, etc.)
• Experience of SQL and NoSQL database technologies.
• Familiarity with product development life cycle
• Experience working with development and deployment tools, processes, approaches and/or techniques
• Knowledge in a broad spectrum of architecture domains including Data Architecture, Infrastructure Architecture, Application Architecture, Security Architecture, and Integration Architecture
• Knowledge in cloud and infrastructure - K8S, serverless, API, NoSQL
Preference for Candidates with:
• Ability to identify business requirements and determine operational impacts and needed system changes
• Hands on experience in building and maintaining enterprise-grade CI/CD pipelines
• Experience deploying applications in GCP and Azure
• Large-scale project experience incorporating all levels of architecture development
• Knowledge of infrastructure architecture, including servers, SAN, networking, firewalls, database and middleware
• Background in open-source products in the dev ops and machine learning space
• Knowledge of architecture standards and how they relate to our data science products
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Primary Location...
835 MARTIN LUTHER KING JR DRIVE NW, ATLANTA, GA 30314-3602, United States of America Show more details...
via Karkidi
schedule_type: Full-timesalary: 120K–190K a year
You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, Bing, Facebook, Pinterest, etc.) to Walmart E-Commerce sites at low cost to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel... Wal-Mart customers.
About Global Tech
Imagine working
You will join a group focusing on developing data-driven models and services and bringing high quality demand from a wide variety of digital sites (google, Bing, Facebook, Pinterest, etc.) to Walmart E-Commerce sites at low cost to sustain and accelerate the growth of Walmart E-Commerce. We also work on ML based customer-centric retention solutions to cultivate a loyal base of omni-channel... Wal-Mart customers.
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
What you’ll do...
As a machine learning platform team, we are responsible for
• Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and deploying machine learning models.
• Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models, evaluate model performance by A/B test etc.
• Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model product ionization to visualization.
• Building and deploying scalable machine learning API services.
• Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform.
• We would like you to have…
Proficiency in at least one programming language, such as python, Java, C++, JavaScript
• Good understanding of data structures and algorithms
• Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.
• Knowledge and experience in Linux, public cloud computing, docker, Kubernetes
• Experience in REST API service development
• Experience working with Apache Airflow or equivalent workflow orchestration for big-data pipelines is a plus
• Knowledge in reactJS, angularJS, d3-js is a plus
Desired qualifications:
• Ph.D. in a related field (CS, EE, Engineering) or
• MS in related fields with 2+ years of experience
Benefits & Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Who We Are?
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Primary Location...
800 W California Ave, Sunnyvale, CA 94086, United States of America
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people Show more details...
About Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.2 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption.
What you’ll do...
As a machine learning platform team, we are responsible for
• Building and maintaining a robust, scalable machine learning platform for machine learning operations end to end from developing, versioning and deploying machine learning models.
• Developing, deploying, and maintaining high-quality web-based dashboard systems to extract visual insights from an ever-growing dataset, monitor machine learning models, evaluate model performance by A/B test etc.
• Developing, testing, and deploying big-data pipelines and machine learning pipelines from ingestion, model product ionization to visualization.
• Building and deploying scalable machine learning API services.
• Managing public cloud services, utilizing public cloud tools and resources efficiently to scale our storage and computation in Google Cloud Platform.
• We would like you to have…
Proficiency in at least one programming language, such as python, Java, C++, JavaScript
• Good understanding of data structures and algorithms
• Strong knowledge and experience in big-data techniques, such as spark, hive, spark-sql, noSQL, Big Query, etc.
• Knowledge and experience in Linux, public cloud computing, docker, Kubernetes
• Experience in REST API service development
• Experience working with Apache Airflow or equivalent workflow orchestration for big-data pipelines is a plus
• Knowledge in reactJS, angularJS, d3-js is a plus
Desired qualifications:
• Ph.D. in a related field (CS, EE, Engineering) or
• MS in related fields with 2+ years of experience
Benefits & Perks:
Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Equal Opportunity Employer
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Who We Are?
Join Walmart and your work could help over 275 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life. careers.walmart.com
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)
Primary Location...
800 W California Ave, Sunnyvale, CA 94086, United States of America
About Walmart
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people Show more details...
via FOX16 Jobs
posted_at: 9 hours agoschedule_type: Full-time
Job Title : Data Scientist
Job Location : 100% Remote
Job Type : Full Time...
Client: S & P Global
JD:
7+ years of hands-on experience as a machine learning engineer or data scientist with at least 3 years focused on Natural Language Processing
Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
Working knowledge of a wide range of machine learning concepts including statistics,
Job Title : Data Scientist
Job Location : 100% Remote
Job Type : Full Time...
Client: S & P Global
JD:
7+ years of hands-on experience as a machine learning engineer or data scientist with at least 3 years focused on Natural Language Processing
Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensor flow.
Work with the following technologies: GATE, Java, Python, Bash, SPARQL, GraphDB, GitLab, Maven, Jenkins, Linux, Docker.
Strong ability to communicate concepts and analytical results with business, management, and the technical team, highlighting actionable insights.
At least 1 year of experience designing and building data-intensive solutions using distributed computing.
At least 1 year of Machine Learning experience with an industry recognized machine learning framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
Handling large-scale data processing and machine learning workloads and distributed systems using cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS).
Understanding of algorithms, data structures and coding standards Show more details...
Job Location : 100% Remote
Job Type : Full Time...
Client: S & P Global
JD:
7+ years of hands-on experience as a machine learning engineer or data scientist with at least 3 years focused on Natural Language Processing
Hands on experience working with large data sets including data cleansing/transformation, statistical analyses, and visualization.
Working knowledge of a wide range of machine learning concepts including statistics, Bayesian probability, supervised and unsupervised learning, descriptive data analysis, and deep learning.
Experience with NLP techniques such as entity extraction, dependency parsing, coreference resolution, topic modeling, language modeling, text classification, and transformer networks.
Familiarity with open source python NLP and machine learning libraries such as NumPy, SpaCy, scikit-learn, Pandas, Keras, and Tensor flow.
Work with the following technologies: GATE, Java, Python, Bash, SPARQL, GraphDB, GitLab, Maven, Jenkins, Linux, Docker.
Strong ability to communicate concepts and analytical results with business, management, and the technical team, highlighting actionable insights.
At least 1 year of experience designing and building data-intensive solutions using distributed computing.
At least 1 year of Machine Learning experience with an industry recognized machine learning framework (e.g., scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
Handling large-scale data processing and machine learning workloads and distributed systems using cloud native services on one or more Cloud Platforms (GCP, Azure and/or AWS).
Understanding of algorithms, data structures and coding standards Show more details...
via Karkidi
schedule_type: Full-timesalary: 92,030–125,030 a yearwork_from_home: 1
As a machine learning intern, you will be designing and building systems that help Docsumo process visual data. Photographs or scan of documents are all rich with information if only we could teach a computer to interpret them.
You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to... finished apps.
We take a product-centric approach to research
As a machine learning intern, you will be designing and building systems that help Docsumo process visual data. Photographs or scan of documents are all rich with information if only we could teach a computer to interpret them.
You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to... finished apps.
We take a product-centric approach to research & development, working closely with our customers to identify opportunities and putting as much care into product design as raw capability.
Requirements
• Course work / online degrees in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification,
• Musthave good knowledge of ML research projects.
• Good github profile
• Basic knowledge of: Numpy, Scikit-learn, Matplotlib, Pandas, OpenCV, TensorFlow and Keras
• Theoretical and practical knowledge of databases and docker is plus
• The candidate should be able to work 7-8 hours a day from Mon-Fri
• Must be self-motivated, flexible, collaborative, with an eagerness to learn
Responsibilities
• Ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions
• Willbe responsible for delivering moderately ML solutions and various research projects Show more details...
You'll work in our Machine Intelligence team, a close-knit group of scientists and engineers who incubate new capabilities from whiteboard sketches all the way to... finished apps.
We take a product-centric approach to research & development, working closely with our customers to identify opportunities and putting as much care into product design as raw capability.
Requirements
• Course work / online degrees in machine learning, text processing, data science, information retrieval, deep learning, natural language processing, text mining, regression, classification,
• Musthave good knowledge of ML research projects.
• Good github profile
• Basic knowledge of: Numpy, Scikit-learn, Matplotlib, Pandas, OpenCV, TensorFlow and Keras
• Theoretical and practical knowledge of databases and docker is plus
• The candidate should be able to work 7-8 hours a day from Mon-Fri
• Must be self-motivated, flexible, collaborative, with an eagerness to learn
Responsibilities
• Ability to understand the business problem, identify the key challenges, formalize the problem algorithmically, and prototype solutions
• Willbe responsible for delivering moderately ML solutions and various research projects Show more details...
via Salary.com
posted_at: 6 days agoschedule_type: Full-time
Job Description
Position :- Data Scientist...
Location :- Franklin TN
Client/TechM/Nissan
Onsite (No Remote/No hybrid)
• Technical Skillset (Mandatory)
• Hands On Experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing
• Technical Skillset (Optional)
• Tableau, Big Data Ecosystem
• Role and Responsibilities
• Proficient in Auto- After
Job Description
Position :- Data Scientist...
Location :- Franklin TN
Client/TechM/Nissan
Onsite (No Remote/No hybrid)
• Technical Skillset (Mandatory)
• Hands On Experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing
• Technical Skillset (Optional)
• Tableau, Big Data Ecosystem
• Role and Responsibilities
• Proficient in Auto- After Sales Domain.
• Data Science and Machine Learning, Supervised /unsupervised Learning
• Prepare Data - Loading Data - Data Visualization - Data Cleaning Data Mining-feature Selection
• Data Transforms - Evaluate Algorithms - Resampling Methods - Evaluation Metrics
• Model Selection - Algorithm Tuning - Ensemble Methods - Present Results - Finalize Model
• Linear Algorithms Linear Regression, Logistic Regression, and Linear Discriminant Analysis
• Non-Linear Algorithms CART Model, Decision Tree, Nave Bayes and Support Vector Machine
• Evaluate the performance Split into Train and Test and K-Fold cross-validation algorithms
• Good hands on experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Expertise in NLP Text Classification, Word Cloud, Term Document Matrix and Corpus,
• Expertise in NLTK Tokenizer, Tfidfvectorizer, Countervectorizer, Stemming
• 3 years of experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing, Reporting Tool Tableau and BigFrame ETL Tool.
• Project Specific requirement (if any):
• MS Degree in Computer Science or related Study
Report this job
• Dice Id: 91112461
• Position Id: OOJ - 2566-1567
• Show more details...
Position :- Data Scientist...
Location :- Franklin TN
Client/TechM/Nissan
Onsite (No Remote/No hybrid)
• Technical Skillset (Mandatory)
• Hands On Experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing
• Technical Skillset (Optional)
• Tableau, Big Data Ecosystem
• Role and Responsibilities
• Proficient in Auto- After Sales Domain.
• Data Science and Machine Learning, Supervised /unsupervised Learning
• Prepare Data - Loading Data - Data Visualization - Data Cleaning Data Mining-feature Selection
• Data Transforms - Evaluate Algorithms - Resampling Methods - Evaluation Metrics
• Model Selection - Algorithm Tuning - Ensemble Methods - Present Results - Finalize Model
• Linear Algorithms Linear Regression, Logistic Regression, and Linear Discriminant Analysis
• Non-Linear Algorithms CART Model, Decision Tree, Nave Bayes and Support Vector Machine
• Evaluate the performance Split into Train and Test and K-Fold cross-validation algorithms
• Good hands on experience in Python EcoSystesms Pandas, Numpy, Scikit Learn
• Expertise in NLP Text Classification, Word Cloud, Term Document Matrix and Corpus,
• Expertise in NLTK Tokenizer, Tfidfvectorizer, Countervectorizer, Stemming
• 3 years of experience in Business Intelligence, Database Migration, Data Visualization, Data warehousing, Reporting Tool Tableau and BigFrame ETL Tool.
• Project Specific requirement (if any):
• MS Degree in Computer Science or related Study
Report this job
• Dice Id: 91112461
• Position Id: OOJ - 2566-1567
• Show more details...
via Karkidi
schedule_type: Full-timesalary: 20–50 an hour
About the role
At ICON, it’s our people that set us apart. Our diverse teams enable us to become a better partner to our customers and help us to fulfil our mission to advance and improve patients’ lives...
Our ‘Own It’ culture is driven by four key values that bring us together as individuals and set us apart as an organisation: Accountability & Delivery, Collaboration, Partnership and Integrity. We want to be the Clinical Research Organisation
About the role
At ICON, it’s our people that set us apart. Our diverse teams enable us to become a better partner to our customers and help us to fulfil our mission to advance and improve patients’ lives...
Our ‘Own It’ culture is driven by four key values that bring us together as individuals and set us apart as an organisation: Accountability & Delivery, Collaboration, Partnership and Integrity. We want to be the Clinical Research Organisation that delivers excellence to our clients and to patients at every touch-point. In short, to be the partner of choice in drug development.
That’s our vision. We’re driven by it. And we need talented people who share it.
If you’re as driven as we are, join us. You’ll be working in a dynamic and supportive environment, with some of the brightest and the friendliest people in the sector, and you’ll be helping shape an industry.
Healthcare Intelligence Experts.
Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they’ll have tomorrow. Together, we can help patients get the right drugs at the right times.
Symphony Health is looking to place talented students in an exciting and fast paced summer internship program!
With this internship, students will have the opportunity to gain invaluable exposure to predictive modeling projects, hands on experience coding and working with Python and SQL, and mentoring at a healthcare industry leader in data analytics and technology solutions.
What will you do?
The Intern will support our Custom & Advanced Analytics team, including Business Analysts, Data Scientists, and Consultants at the intersection of business and technology. Utilizing your interest in Predictive Modeling, as well as your strong Python skills, you will help our team pursue proof of concept projects and push into new, innovative techniques.
Some additional responsibilities may include:
• Compile and analyze data and prepares reports.
• Provide administrative assistance in support of special projects.
• May create and develop presentations.
What do you need to have?
• 0 – 2 Years of related experience
• Bachelor’s degree or equivalent required
• Strongly prefer current enrollment in graduate studies, preferably in Business, Business Analytics, Statistics, Physical Sciences, or related area
• Deep experience using Python and related tools, including Pandas, Matplotlib, NumPy, Sci-Kit Learn, Seaborn, Plotly, and Dash
• Basic SQL skills
• Well versed in statistical analysis and predictive modeling
• Experience or deep interest in healthcare
• Experience with MS Outlook, Word, and Excel
• Good organizational and time management skills, with strong attention to detail
• Good communication and interpersonal skills
• Read, write and speak English fluently
• Availability to work full time
Benefits of Working in ICON:
Our success depends on the quality of our people. That’s why we’ve made it a priority to build a culture that rewards high performance and nurtures talent.
We offer very competitive salary packages. And to keep them competitive, we regularly benchmark them against our competitors. Our annual bonuses reflect delivery of performance goals – both ours and yours.
We also provide a range of health-related benefits to employees and their families and offer competitive retirement plans – and related benefits such as life assurance – so you can save and plan with confidence for the years ahead.
But beyond the competitive salaries and comprehensive benefits, you’ll benefit from an environment where you are encouraged to fulfil your sense of purpose and drive lasting change.
ICON is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below Show more details...
At ICON, it’s our people that set us apart. Our diverse teams enable us to become a better partner to our customers and help us to fulfil our mission to advance and improve patients’ lives...
Our ‘Own It’ culture is driven by four key values that bring us together as individuals and set us apart as an organisation: Accountability & Delivery, Collaboration, Partnership and Integrity. We want to be the Clinical Research Organisation that delivers excellence to our clients and to patients at every touch-point. In short, to be the partner of choice in drug development.
That’s our vision. We’re driven by it. And we need talented people who share it.
If you’re as driven as we are, join us. You’ll be working in a dynamic and supportive environment, with some of the brightest and the friendliest people in the sector, and you’ll be helping shape an industry.
Healthcare Intelligence Experts.
Symphony Health, part of the ICON plc family, is a team of curious thinkers and intellectual problem solvers driving the healthcare data industry forward. We leverage our large, integrated healthcare data repository and our analytic expertise to build customized, agile data solutions which answer the questions our clients -- life science manufacturers, payers, and providers -- have today, as well as those they’ll have tomorrow. Together, we can help patients get the right drugs at the right times.
Symphony Health is looking to place talented students in an exciting and fast paced summer internship program!
With this internship, students will have the opportunity to gain invaluable exposure to predictive modeling projects, hands on experience coding and working with Python and SQL, and mentoring at a healthcare industry leader in data analytics and technology solutions.
What will you do?
The Intern will support our Custom & Advanced Analytics team, including Business Analysts, Data Scientists, and Consultants at the intersection of business and technology. Utilizing your interest in Predictive Modeling, as well as your strong Python skills, you will help our team pursue proof of concept projects and push into new, innovative techniques.
Some additional responsibilities may include:
• Compile and analyze data and prepares reports.
• Provide administrative assistance in support of special projects.
• May create and develop presentations.
What do you need to have?
• 0 – 2 Years of related experience
• Bachelor’s degree or equivalent required
• Strongly prefer current enrollment in graduate studies, preferably in Business, Business Analytics, Statistics, Physical Sciences, or related area
• Deep experience using Python and related tools, including Pandas, Matplotlib, NumPy, Sci-Kit Learn, Seaborn, Plotly, and Dash
• Basic SQL skills
• Well versed in statistical analysis and predictive modeling
• Experience or deep interest in healthcare
• Experience with MS Outlook, Word, and Excel
• Good organizational and time management skills, with strong attention to detail
• Good communication and interpersonal skills
• Read, write and speak English fluently
• Availability to work full time
Benefits of Working in ICON:
Our success depends on the quality of our people. That’s why we’ve made it a priority to build a culture that rewards high performance and nurtures talent.
We offer very competitive salary packages. And to keep them competitive, we regularly benchmark them against our competitors. Our annual bonuses reflect delivery of performance goals – both ours and yours.
We also provide a range of health-related benefits to employees and their families and offer competitive retirement plans – and related benefits such as life assurance – so you can save and plan with confidence for the years ahead.
But beyond the competitive salaries and comprehensive benefits, you’ll benefit from an environment where you are encouraged to fulfil your sense of purpose and drive lasting change.
ICON is an equal opportunity and inclusive employer and is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know through the form below Show more details...
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