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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.
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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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Design, develop, and implement machine learning models and algorithms to solve complex problems across various domains, including but not limited to recommendation systems, natural language processing, and predictive analytics.
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Experience managing and analyzing structured and unstructured data using tools such as SQL, R, Python, SPSS, STATA, Minitab or Power BI and experience troubleshooting others' analysis.
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The ideal candidate will have 5-8 years of experience in data engineering or data science, with a strong emphasis on developing and optimizing data pipelines, machine learning models, and predictive analytics.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Deep understanding of latest analytical tools and dashboarding technologies, data warehousing, software, process, and applications (e.g., SQL, Tableau, AWS, Python, Machine Learning, Predictive Analytics, etc.
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3 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders.
$187,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include—but is not limited to—data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
$178,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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10+ years in pharmaceutical or biotechnology Sales & Marketing Analytics, with hands-on experience in programming (Python, R, SQL) and using tools like AWS SageMaker. Extensive hands-on experience working with large datasets using tools like AWS SageMaker, Python, R, and SQL. Strong knowledge of various pharmaceutical data sources, including patient claims data from IQVIA/SHA, sales force activity data, physician prescription data, and real-world evidence data such as MarketScan and Optum claims.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Strong SQL skills and hands-on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau. Solid understanding of statistical and machine learning algorithms.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
$242,830 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Possessing experience with one or more of the following key programming and data analytics tools: Python, R, SAS; As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
$117,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our data science and analytics team consist of talented group of data specialists who manage data, develop statistical, machine learning, NLP, Gen AI models/ solutions, and maintain reporting tools, ensuring we remain a world-class business.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Applying techniques across one or more machine learning models including: multivariate regressions, Bayesian probabilities, clustering algorithms, machine learning, dynamic programming, stochastic-processes, queuing theory, algorithmic knowledge.
$117,000 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning analytics r python jobs Title: data analytics specialist Company: Inc in Raleigh, West Virginia
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