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Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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PhD in Mathematics, or PhD in Mathematics Education with at least 18 graduate credit hours in mathematics; PhD must be conferred no later than August 1, 2024.
$57,500 - $66,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Education : A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent.
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Masters Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
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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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Statistical Background: Proficiency in statistics and machine learning techniques, particularly when applied to meteorological data. Within LSEG, the Power, Natural Gas, Coal, and Carbon Research division (formerly known as Point Carbon, Thomson Reuters, and Refinitiv) has a strong presence in the commodity community.
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BS, MS, or PhD in Computer Science, Statistics, Applied Mathematics, Data Science, Economics or related quantitative fields. Expertise in Python and SQL, with working experience in Apache Spark, Hadoop, Databricks, Snowflake, or other big data systems is preferred.
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BS, MS or PhD degree in electrical engineering, mechanical engineering, or related fields (e.g., physics, applied biology, computational design, biodesign, robotics) This person thrives at the intersection of electrical design, software, firmware, printed circuit board (PCB) design, and sensor integration, grounded by a strong foundation in physics, mathematics, and core engineering disciplines.
$75,000 - $138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Qualifications Required Skills: Bachelors degree required in one of the following fields: Physics, Engineering, Statistics, Econometrics, Actuarial Science, Decision Sciences, Operations Research, Applied Mathematics/Physics, and/or Quantitative Analysis Masters/MBA or PhD is preferred.
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A master’s 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. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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PhD degree in Statistics, Mathematics, Economics, Operations Research, or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
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Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
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A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred for Senior Manager direct hires.
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Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
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