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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.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
$140,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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.
$178,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. Understanding of quantitative techniques and methods, statistics and econometrics - including probability, linear regression and time series data analysis and optimizations.
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Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus. We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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Candidates must be proficient in GIS and R or Python, with quantitative skills in remote sensing and/or experience working with large climatic data sets preferred. The projects will use in situ ecological data to conduct quantitative analyses such as occupancy modeling, spatial analyses, population estimation, fire and drought data integration for decision support, and analysis of the impacts of climatic conditions on success of management, ecological restoration and conservation planning.
$9,034.13 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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A minimum of three (3) years of experience using R programming language (Python is a plus) Join us to expand your technical career through the lens of work on many novel projects and use cases to expand your proficiency in real-world health care data, statistical analysis, data science and AI skills on healthcare.
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities. + Lead cohort meetings and workshops for data science awardees.
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You will also identify and analyze the real-world clinical data to address scientific questions, define data strategy, build statistical analysis methodology and plan, and help us building solutions and tools to help answer complex clinical research questions, with a focus on health disparities.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. Conducts advanced data analysis using real-world patient clinical or electronic health record data by employing the statistical methods to address crucial research questions related to cardiovascular disease, health disparities and equity.
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Experience working with large-scale, complex data sets such as Electronic Health Record data, or research cohort data in the clinical domain. + Collaborate with data engineers, data scientists, project managers, clinicians and domain experts to refine research questions and prepare the statistical analysis plan and report.
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Cardiovascular Data Analysis expertise. + Three (3) or more years of experience in patient clinical data analysis. You will closely work with American Heart Association data scientists, engineers, clinical and research scientists to creatively address medical research challenges.
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applied quantitative data science r python jobs Company: Genpact
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