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The Data Scientist provides technical staff with competencies in data science and data engineering that will specifically focus on data science workflow automation and developing technical data artifacts.
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Bachelor’s degree in quantitative fields such as Statistics/Data Science/Econometrics/Mathematics/ Business Analytics preferred. Are you a data science professional that enjoys statistical modeling.
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Skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command’s program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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A proven track record in building and maintaining big data platforms for streaming and batch data processing, data engineering, building backend systems and APIs. Solid background in the fundamentals of computer science, distributed systems, concurrency, resiliency, caching, large scale data processing, database schema design and data warehousing.
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Bachelor's degree or equivalent experience Bachelor’s degree in Business Analytics, Information Retrieval/Information Technology, Computer Science, Market Research, Psychology, Digital Libraries, Math/Statistics, Digital Marketing, Content Management, Digital Analytics, Data Science, or similar field Req.
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Audit Management, Databricks Platform, Databricks Unified Data Analytics Platform, Data Integrity, Data Presentations, Data Science, Internal Controls, Microsoft Azure, Microsoft Power BI, Operating Effectiveness, People Management, Python (Programming Language), Risk Based Auditing, Risk Management and Mitigation, Scientific Data Analysis, Technical Leadership.
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Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Consulting Research Analyst would have a BA/BS degree in social science, public health, economics, statistics, actuarial science or equivalent related field and a minimum of 5 years of related work experience or equivalent combination of education and experience.
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You have a Masters or PhD in Data Science, Machine Learning, Applied Statistics, Bioinformatics, Computational Biology, Computer Science, Physics or closely related disciplines. The Data Science Engineer will work closely with the CTO and Data and Engineering Team to build the core bioinformatics and data platform at the heart of the company's drug discovery engine.
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Lead one or more interdisciplinary Data Product Teams consisting of members from Data Operations, Data and User Support, Technical Writing, Science, and Science Programming.
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Use a data science approach with materials science principles to develop and execute design of experiments using computational materials software (ICME) Significant experience with data science.
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Proficient in data analysis through JMP, Python or other data engineering software. M.S. or PhD (Electrical Engineering, Microelectronics, Physics, or Material Science) or B.S. with 5 years industry experience.
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Bachelor’s or Master’s degree in HR, Industrial Organizational Psychology or in a quantitative related field such as data science business analytics, statistics, or mathematics. Liaise with IT counterparts to ensure HR data and HR analytics requirements are included appropriately within enterprise analytics strategies, are enabled by enterprise tools and infrastructure and benefit from synergies with enterprise analytics expertise and initiatives.
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Data science, machine learning, optimization models, Master’s degree 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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