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That Data Scientist provides analysis and develops and maintains software tools for clinical and scientific problems in the Bioinformatics and Computational Biology department. The Data Scientist will also assist clinicians in using the software and collaborate in developing, maintaining, and enhancing the underlying statistical models.
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Principal Data Scientist 10+ years of industry experience and 3+ years as either a lead in a data science role or in a management position in data science with a PhD/MS in PhD/MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.
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Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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Bachelors/Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 – 6 years' experience in an analytics related field, Data science, machine learning, optimization models, etc.
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The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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Requires a PhD in related field or equivalent industry experience in related field such as Bioinformatics/Biomedical Engineering/Data Science/Computer Science/Statistics/Applied Math or related majors.
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Alternatively, Master’s degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 6 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Senior Data Scientist - TikTok User Growth. Senior Data Scientist, TikTok Experience. Our Flagship Data Science team is seeking a Senior Staff Data Scientist to work alongside the newly formed Applied Science team focused on building inference, algorithms, and models to identify and quantify complex cause and effect in the ecosystem.
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Expertise in Python, R, SQL, statistics, data mining. Some experience as a Data Scientist or advanced analytical role. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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.
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Significant experience as a Data Scientist or advanced analytical role. 5+ years of experience working in the field of Data Engineering and Data Science. BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field.
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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.
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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.
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