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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) Primary Location.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Proficiency in Python, R, SQL, and SAS. We are looking for a talented and innovative Data Scientist to join our AI and Machine Learning team.
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Proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA) As Putnam’s Data Scientist II, you will lead and manage Data Analyst & Data Scientist to solve interesting analytical problems for the clients.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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This is a fall internship role at Staffing Analytics located in New York City. As a Data Scientist Intern, you will be responsible for diving into (un)structured data to unearth practical insights, backtest and optimize models, perform statistical analyses and forecasting, and also to familiarize yourself with end-to-end deployment of data-driven optimization web applications.
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We are seeking a Principal Scientist to join the Data Science unit at our Cambridge, MA office to develop and leverage innovative computational biology algorithms supporting translational research use of Caris’ large-scale multi-omics data.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
Full-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Demonstrates proficiency in all areas of mathematical analysis methods, machine learning, statistical analyses, and predictive modeling and advanced in-depth specialization in some areasStrong experience using modeling tools such as Python, SPSS, R, Matlab Demonstrated experience in the following: Uni and Multivariate Data Analysis, Application of predictive models, market segmentation and cluster analyses, time-series analysis, advanced regression modeling.
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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.
$216,000 a yearFull-timeExpandApply NowActive JobUpdated 15 days ago - UpvoteDownvoteShare Job
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Lead projects and tasks in small, agile-like environment designing, developing, maintaining, operating, supporting Python data analytic tools in direct response to client needs. Work closely with analytical cells to understand analyst behavior and their use of data, systems, and tools.
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Strong data management and analytical skills including Design of Experiment methodology, preferably with the ability to develop data analysis pipelines in e.g. JMP, R, Python, etc.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Technical Skills: Proficiency in wind resource assessment tools, meteorological data analysis (Windographer), optimization and energy production estimation software (Openwind), Microsoft Office Suite, experience with data analysis programming languages such as Python, R, Ruby, SQL, MATLAB, etc.
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Proficiency in Machine Learning, Statistical and Reporting tools (Databricks, Python, R, SQL, PowerBI). This Data Scientist will be responsible for identifying insights from data through machine learning, deep learning, and AI to augment decision making by the business by applying AI/ML/DL methods and algorithms across retail areas such as forecasting, Membership and Marketing, supply chain cost optimization, and inventory management.
$192,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Under the supervision of Dr. Ruanne Barnabas, Chief of the Division of Infectious Diseases, the Sr. Data Scientist will work closely with faculty and staff within MGH, with departments and research groups at the Fred Hutchinson Cancer Center, and with international collaborators.
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