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Experience performing data science / analytics, such as statistical modelling, predictive analysis, or machine learning using Python, SQL, PySpark and cloud-based tools such as Big Query, Databricks.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. Background in data science, mathematics, actuarial science, or engineering.
ExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace. Strength in data analytics and visualization (Looker Studio, Tableau, etc.
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Major focus on data science, data visualization, artificial intelligence and machine learning. Candidates will have a strong understanding of data architecture and analytics design and project delivery life-cycles with an emphasis of working in client facing environments.
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Physical Demands: The work requires regular physical exertion such as walking or climbing over wet, rough, uneven and/or rocky surfaces; bending, crouching, stooping, or reaching to observe, collect and/or record field data; or in some situations the work may require physical exertion to handle wild animals, prepare soil for planting, to scuba dive or operate a boat.
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Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
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Bachelor’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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The UTSA Carlos Alvarez College of Business Data Analytics Center provides secure, scalable high-end data science analytics, and machine learning/AI solutions for academic and industry partners.
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The Statistical Analyst A will use standard SAS and/or Stata to create analytic datasets from clinical trials, health care claims, electronic medical records, and surveys; to construct and standardize analytical variables through data integration and data manipulation; to provide descriptive and analytic reports; and to perform statistical analyses.
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B.S. or M.S. in computer science, bioinformatics, computational biology, genomics, or a related field with 7 years of industry experience or Ph. D. with 3 years of experience. Oversee the scalable development and optimization of next-generation sequencing (NGS) data analysis pipelines.
$185,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and / or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
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Teach undergraduate courses required in human performance studies as well as graduate courses in exercise science (e.g., kinesiology, anatomy & physiology, sport nutrition, research methods, statistics, and courses related to area of expertise.
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BS, MS in materials science or engineering, mechanical engineering, powder metallurgy, nanotechnology, applied physics, chemical engineering, or related field. Proficient with statistical and data visualization software e.g. JMP, Minitab, SQL.
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Qualifications:· Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master’s degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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data science jobs Title: project manager Company: Iqvia Holdings Inc
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