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Advanced degree (MS/MA or PhD) in a related field (e.g., Industrial-Organizational Psychology, People Analytics, Business Analytics, Statistics, Economics, Data Science, Applied Math, etc.
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A masters degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 7 years experience in data science or a similar role.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard/survival models, structural equation modeling, item response theory, latent class regression.
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Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources.
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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.
$169,000 - $338,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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A Baccalaureate Degree from an accredited college or university with a major in Computer Science, Systems Engineering, applied Mathematics, Business Administration, Economics/Statistics, Telecommunications, Data Communications, or a related field of study; and.
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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience.
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State government/public sector experience on IT Projects in health and human services programs (such as Medicaid, MMIS, claims processing, eligibility, HHS analytics, data warehouse, etc.
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Within Janssen R&D, the Therapeutics Discovery organization is continuing to build the key scientific expertise to bring ground-breaking new medicines to patients; we invest in medicinal chemistry, screening, and pharmacology, and in the computational and data science fields that inspire and inform them.
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A Master's degree or a PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or Computer Science/Engineering. The Signal Processing Department in the Undersea Systems Office (USO) of the Applied Research Laboratory (ARL) is seeking a motivated and talented Signal Processing Engineer to research, develop, analyze, and deliver new capabilities for the processing of undersea platform sensor data.
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computer science applied data processing jobs Company: Ford Motor Company in Melbourne, Florida
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