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Data science
Towards Data Science (TDS) is a website devoted to sharing data science and machine learning knowledge. It is a platform to connect with other data scientists and data professionals, stay up to date on the latest trends and developments in the industry, and learn from the best. It features articles, news, tutorials, and resources related to data science and machine learning. The website provides a great platform for data scientists and professionals to collaborate, share knowledge, and stay informed on the latest developments in the field. It is a great source for learning and connecting with the data science world.
The data that is collected is analyzed with the help of data science.data-flair.trainingData Science plays a vital role in IoT (Internet of Things). These IoT devices, that are present as wearable devices that track heartbeat, temperature and other medical parameters of the users.
Business analytics, on the other hand, is targeted more towards the corporate world. The main difference between data science and business analytics is specificity. The type of data that is used.euruni.eduAdditionally, technology companies like Apple, Microsoft, and Amazon have used data science to develop speech recognition capabilities for their AI assistants Siri, Cortana, and Alexa.
Data science employs a variety of instruments, scientific procedures, methods, and algorithms to glean insights from both structured and unstructured data. Each course's projects could be different.simplilearn.comData science is frequently said to be the most profitable professional path of the twenty-first century since it has become fundamental to how businesses operate and offer their services.
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Popular Questions for Data science
Newest job postings for Data science
via GDIT
posted_at: 2 days agoschedule_type: Full-timework_from_home: 1
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.
At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is... smarter. Our work depends on Data Scientist joining
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients’ mission and on your career.
At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is... smarter. Our work depends on Data Scientist joining our team to
HOW A DATA SCIENTIST WILL MAKE AN IMPACT
• Applies data science methods including analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Develops data science Artificial Intelligence / Machine Learning (AI/ML) solutions to complex business challenges.
• Uses AI/ML models to test the effectiveness of different courses of action.
• Mines and analyzes data, using a variety of data science tools, building and implementing models, using/creating algorithms.
• Assesses the effectiveness and accuracy of models, algorithms, and new data sources.
• Uses predictive modeling to increase ad optimize customer experiences, efficiencies, process improvements and other business outcomes.
• Provides support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract
• Drives business results with data-based insights.
• May coach and review the work of other team professionals
WHAT YOU’LL NEED TO SUCCEED:
• Education: Bachelor of Science Degree
• Required Experience: 2+ years of related experience
• Proven work experience as a Data Scientist, Data Analyst or similar role
• 2+ years of experience developing machine learning models using Python, Spark, and/or AI-ML Tools and packages such as Amazon SageMaker, AUTOML, AWS AI-ML Services or AI-ML Toolkits and software.
• Must have strong data visualization skills including experience with Tableau or Amazon Quicksight.
• Expected to formulate questions that will help the business and then proceed in solving them.
• In-depth understanding of database structure principles.
• Must be able to work with engineering teams to source the right data, evaluate system performance.
• Experience with one or more: Machine Learning, Deep Learning, Predictive Analytics, and Hadoop/Spark distributed processing.
• Experience gathering and analyzing system requirements.
• Expertise in SQL.
• Problem-solving attitude
• High level of self motivation
PREFERRED SKILLS:
• Data Science experience with healthcare and/or claims analysis
• Location: Remote or Hybrid (Woodlawn, MD) available
GDIT IS YOUR PLACE:
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays Show more details...
At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is... smarter. Our work depends on Data Scientist joining our team to
HOW A DATA SCIENTIST WILL MAKE AN IMPACT
• Applies data science methods including analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.
• Develops data science Artificial Intelligence / Machine Learning (AI/ML) solutions to complex business challenges.
• Uses AI/ML models to test the effectiveness of different courses of action.
• Mines and analyzes data, using a variety of data science tools, building and implementing models, using/creating algorithms.
• Assesses the effectiveness and accuracy of models, algorithms, and new data sources.
• Uses predictive modeling to increase ad optimize customer experiences, efficiencies, process improvements and other business outcomes.
• Provides support in capturing and defining any requirements for the deliverables/ solutions for the projects under this contract
• Drives business results with data-based insights.
• May coach and review the work of other team professionals
WHAT YOU’LL NEED TO SUCCEED:
• Education: Bachelor of Science Degree
• Required Experience: 2+ years of related experience
• Proven work experience as a Data Scientist, Data Analyst or similar role
• 2+ years of experience developing machine learning models using Python, Spark, and/or AI-ML Tools and packages such as Amazon SageMaker, AUTOML, AWS AI-ML Services or AI-ML Toolkits and software.
• Must have strong data visualization skills including experience with Tableau or Amazon Quicksight.
• Expected to formulate questions that will help the business and then proceed in solving them.
• In-depth understanding of database structure principles.
• Must be able to work with engineering teams to source the right data, evaluate system performance.
• Experience with one or more: Machine Learning, Deep Learning, Predictive Analytics, and Hadoop/Spark distributed processing.
• Experience gathering and analyzing system requirements.
• Expertise in SQL.
• Problem-solving attitude
• High level of self motivation
PREFERRED SKILLS:
• Data Science experience with healthcare and/or claims analysis
• Location: Remote or Hybrid (Woodlawn, MD) available
GDIT IS YOUR PLACE:
• 401K with company match
• Comprehensive health and wellness packages
• Internal mobility team dedicated to helping you own your career
• Professional growth opportunities including paid education and certifications
• Cutting-edge technology you can learn from
• Rest and recharge with paid vacation and holidays Show more details...
via ATT Jobs
posted_at: 3 days agoschedule_type: Full-time
At AT&T, we push the boundaries of innovation, creating new technology that improves the lives of our customers and employees. Connecting the world through the latest tech, top-of-the-line communications and the best in security solutions is what we do. We’re offering the opportunity to work with emerging tech, products and innovative people to invent new solutions and solve real world... problems.
The Data Scientist translates business problems
At AT&T, we push the boundaries of innovation, creating new technology that improves the lives of our customers and employees. Connecting the world through the latest tech, top-of-the-line communications and the best in security solutions is what we do. We’re offering the opportunity to work with emerging tech, products and innovative people to invent new solutions and solve real world... problems.
The Data Scientist translates business problems to insights and codes solutions using the following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions.
Key Roles and Responsibilities:
• Transforming existing code base to Python/SQL Databricks solution with continued maintenance.
• Proactively evaluates internal request needs within transformation to design an architecture tailored to the necessary reporting and daily analytic workflows.
• Integrate GeoSpatial analytics to consolidate platforms and streamline processes to reduce cycle times of reporting.
• Responsible for our own forecasts via machine learning to move off existing baseline trends.
• Research and investigation of potential product enhancements, identification of product owners and necessary sources.
• Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
• Ability to organize and crisply communicate insights from analysis of large data sets in an intuitive manner to non-technical business partners.
Education: Required Masters degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
Experience: Requires 3-5 years of related work experience. Experience with Databricks, Snowflake, ADLS, Python, SQL, Spark, H2o, model selection/creation, hyperparameter tooling, model interpretation & retraining
Supervisory: No.
Our Professional-Data Scientists earn between $115,600 - $192,600 yearly. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training Show more details...
The Data Scientist translates business problems to insights and codes solutions using the following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions.
Key Roles and Responsibilities:
• Transforming existing code base to Python/SQL Databricks solution with continued maintenance.
• Proactively evaluates internal request needs within transformation to design an architecture tailored to the necessary reporting and daily analytic workflows.
• Integrate GeoSpatial analytics to consolidate platforms and streamline processes to reduce cycle times of reporting.
• Responsible for our own forecasts via machine learning to move off existing baseline trends.
• Research and investigation of potential product enhancements, identification of product owners and necessary sources.
• Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries (SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
• Ability to organize and crisply communicate insights from analysis of large data sets in an intuitive manner to non-technical business partners.
Education: Required Masters degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
Experience: Requires 3-5 years of related work experience. Experience with Databricks, Snowflake, ADLS, Python, SQL, Spark, H2o, model selection/creation, hyperparameter tooling, model interpretation & retraining
Supervisory: No.
Our Professional-Data Scientists earn between $115,600 - $192,600 yearly. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training Show more details...
via LinkedIn
posted_at: 16 hours agoschedule_type: Full-time
Description
Summary...
The Data Scientist II is responsible for discovering information hidden in vast amounts of data through design, development and implementation of optimal Prescriptive, Predictive and Descriptive analytics solutions. Individual must have extensive knowledge of Statistical Models, Data Mining, Machine Learning and proven experience in building custom algorithms to deliver insights. Individual must have proven programming competency
Description
Summary...
The Data Scientist II is responsible for discovering information hidden in vast amounts of data through design, development and implementation of optimal Prescriptive, Predictive and Descriptive analytics solutions. Individual must have extensive knowledge of Statistical Models, Data Mining, Machine Learning and proven experience in building custom algorithms to deliver insights. Individual must have proven programming competency in advanced Data Science toolkits such as SAS. The Data Scientist II is also responsible for supporting the business goals and objectives for the Performance Improvement and Workforce Planning Department, the Human Resources vertical and the organization as a whole.
Major Job Responsibilities
• Provides technical development expertise for designing, coding, testing, debugging, documenting, and supporting all types of applications consistent with the established specifications and business requirements in order to deliver business value
• Contributes to the execution of CHRISTUS' overall information systems strategy as it pertains to their vision of the organization in both strategic and tactical plans
• Involved in team adoption, execution and integration of strategy to achieve optimal and efficient delivery
• Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance
• Integrates software components, subsystems, facilities and services into the existing technical systems environment; assesses impact on other systems, and works with cross functional teams within information management to ensure positive project impact
• Installs, configures, and verifies the operation of software components
Requirements
• Master's Degree
Work Type
Full time Show more details...
Summary...
The Data Scientist II is responsible for discovering information hidden in vast amounts of data through design, development and implementation of optimal Prescriptive, Predictive and Descriptive analytics solutions. Individual must have extensive knowledge of Statistical Models, Data Mining, Machine Learning and proven experience in building custom algorithms to deliver insights. Individual must have proven programming competency in advanced Data Science toolkits such as SAS. The Data Scientist II is also responsible for supporting the business goals and objectives for the Performance Improvement and Workforce Planning Department, the Human Resources vertical and the organization as a whole.
Major Job Responsibilities
• Provides technical development expertise for designing, coding, testing, debugging, documenting, and supporting all types of applications consistent with the established specifications and business requirements in order to deliver business value
• Contributes to the execution of CHRISTUS' overall information systems strategy as it pertains to their vision of the organization in both strategic and tactical plans
• Involved in team adoption, execution and integration of strategy to achieve optimal and efficient delivery
• Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance
• Integrates software components, subsystems, facilities and services into the existing technical systems environment; assesses impact on other systems, and works with cross functional teams within information management to ensure positive project impact
• Installs, configures, and verifies the operation of software components
Requirements
• Master's Degree
Work Type
Full time Show more details...
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