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Qualifications : Master's degree or equivalent experience in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related field. Responsibilities include but are not limited to : Applies and integrates advanced statistical, mathematical, data mining, predictive modeling and business analysis skills and techniques to discover and identify new insights, predict and prescribe outcomes, advise on turning new insights into actionable opportunities and outcomes, and provide the tracking and measurement of results.
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PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics a big plus. 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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Bachelor's degree in Economics, Statistics, Mathematics, Business, Finance, Sociology, Policy, Engineering, Physics or other related fields or equivalent work experience. Bachelor's degree in Economics, Statistics, Mathematics, Business, Finance, Sociology, Policy, Engineering, Physics or other related fields or equivalent work experience.
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Bachelor’s Degree (Required) in Business Analytics or Economics, Mathematics, Statistics or related field or equivalent combination of education and/or experience. Hands-on experience with reporting, data discovery and visualization tools such as MicroStrategy, MS Power BI, Cognos, Tableau or similar.
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Information Systems, Accounting, Finance, Mathematics, Statistics, The salary for an ERS Retiree (or non-contributing member) will. Analytics, Computer Science, Computer Information Systems, Management.
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MS or PhD, in Engineering, Data Science, Economics, Statistics, Mathematics, or related discipline. Experience using workflow tools such as Airflow. MS or PhD, in Engineering, Data Science, Economics, Statistics, Mathematics, or related discipline.
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Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics or a related field. Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations.
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Employ techniques and theories drawn from mathematics, statistics, from the subdomains of machine learning, classification, cluster analysis, and data mining. Data mining languages and packages (e.g. R, Python.
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Requires Master’s degree in Mathematics, Statistics, Financial Engineering or a directly related field and three (3) years of experience as a Quantitative Analyst or related occupation. Conducting IDEs including Jupyter, Spyder, Databricks, RStudio, Matlab, Excel, and SQL Developer; and.
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Bachelor Science (BS) or higher in a technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering. You will report to Director, Analytics.
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Requires a Bachelor's degree in Business Administration, Economics, Statistics, Mathematics, Political Science, Legal Studies, or related field and four years of work experience in the job offered or in a business-related occupation.
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Experience interacting with senior management Advanced degree in actuarial science, mathematics, statistics or other relevant courses plus 5+ years of directly relevant actuarial experience; 5+ years experience working within the insurance industry / claims experience Proficiency in common ML programming languages (Python, R, Spark.
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Master’s degree in Quantitative Finance, Accounting, Econometrics, Computational Finance, Risk Management, Applied Mathematics with a focus on Finance, Statistics with a focus on finance, Business Administration, Computer Science, Financial Engineering, Computer Information Systems or Accounting Required or CFA or FRM Designation.
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Usually BSc/BA in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering or a related field. Our passion is in delivering innovation and value creation through technology, and our mission is to become the worlds leading InsurTech.
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Bachelor's OR Masters degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, economics, operations research, engineering, or computer science) or Information System Management.
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