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Applying data science methods (i.e., statistical modeling, machine learning techniques regression, forecasting / predictive modeling, decision trees) to healthcare and Life Sciences business problems.
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Demonstrated professional experience in advanced Data Science domains such as predictive modeling, Large Language Models, machine learning, text mining, and/or data engineering.
$147,200 - $229,925 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
$120,000 - $186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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You will provide a range of qualitative and quantitative consulting services in the areas of data science, AI, model development, model validation, model risk management, modeling technology, model governance / controls / documentation, and financial instrument valuation.
$151,470 - $252,450 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We're looking for a sharp analytical thinker who's adept at financial modeling, data science, AI/ML modeling, and Model Risk Management to join our Advisory practice. Working across industry sectors, we bring deep experience in data science, AI, modeling, and Model Risk Management.
$124,658 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
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Utilize the following data analytics tools and technologies: Exploratory Analysis, Statistical Analysis, Regression Analysis, Predictive Modeling, Data Visualization, A/B Testing, SQL, R. Python, Hive, JIRA, Teradata, SAS, Hadoop, AWS, MapReduce, Spark, Greenfield, dataMiner, Visual Studio Code, Automation Portal, Microsoft Suite.
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Perform data mining, statistical analysis, and predictive modeling. Job Description:The Data Scientist will be responsible for analyzing complex datasets to extract actionable insights, develop predictive models, and support data-driven decision-making processes.
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Qualifications Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
$163,238 - $178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
$137,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience.
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Proven experience in leading solution engineering or product design and associated methodsExperience w/Mixed data sets and approaches (analytics, analytic tools, data science)Exceptional understanding of cutting-edge analytics, technologies, consumer behavior, and travel industryProficiency with Python, SQL, Snowflake, Databricks, Tableau, PowerBI and other commonly used analytics, data management and business intelligence applications.
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Experience with data modeling, machine learning, data mining, statistics, or graph algorithms in academic or professional environments. You’ll build predictive analytics, use automation, apply machine learning, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions.
$110,100 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago
data science predictive modeling jobs Company: Adobe in CA, Canada
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