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Data Science Manager II
years of data science experience, including 2+ years in a management role 2+ years of experience in the insurance industry Strong knowledge of statistical modeling, machine learning, and numerical optimization Proficiency in programming with R or Python..., and experience with SQL databases Advanced degree in a quantitative discipline is preferred but not required
Lead Data Engineer
., SQL, NoSQL, Python) Understanding of database design, data exchange formats, and data movement concepts Experience in application development and data modeling
Senior Payment Engineer
., Java, Python) and experience with databases Familiarity with cloud platforms and microservices architectures
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Database Analyst - Anesthesiology
in Computer Science or a related Information Technology field may substitute for experience At least 2 years Company experience working with large, complex relational databases Advanced proficiency in SQL, including querying and maintaining relational databases...Proficiency in Python and experience with EMR reporting databases, preferably Epic's Clarity and Caboodle Experience in project management methodologies
Associate Data Science Actuary
Science, or a related field FSA accreditation or equivalent 6+ years Company actuarial experience in life insurance/Company 2+ years Company statistical modeling experience for insurance applications Proficiency in statistical programs/languages (R or Python...) and database applications (SQL, Snowflake, Oracle)
Quantitative Analyst
finance, mathematics, computer science, or a related discipline Minimum 5 years' experience in quantitative modeling roles within finance, preferably in fixed income analytics Expert proficiency in programming languages including Shell scripting, Python..., SQL, and relational databases Familiarity with cloud-based technologies, especially AWS Deep understanding of bond and loan markets, including fixed income valuation methodologies
Senior Data Scientist
background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, or Physics; advanced degree preferred 4+ years of experience in an analytical role Proven experience with at least one programming language, preferably Python...Working knowledge of relational databases (e.g., SQL) Ability to think about data in terms of statistical distributions and identify patterns for performance
Senior Data Scientist
and deliver high-quality advanced analytics and visualizations Required Qualifications 3-5 years of experience in a data science role Strong background in statistics and statistical hypothesis testing Experience with SQL and data access through databases...Proficiency in Python and/or R with knowledge of statistical and data science packages Bachelor's degree in a relevant quantitative discipline; Master's degree is a plus
Senior Data Scientist
Academic background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, or Physics; advanced degree preferred 4+ years of experience in an analytical role Proficiency in at least one programming language, preferably Python...Working knowledge of relational databases (e.g., SQL) Ability to lead and execute modeling efforts from start to finish
Senior Quantitative Analyst
statistics, mathematics, engineering, or a related area (PhD preferred) Minimum 4+ years' experience in statistical/econometric modeling focused on consumer credit risk Experience with programming languages for quantitative modeling, such as SAS, R, Python..., or Matlab Database experience using SQL-based databases; cloud-based experience preferred Some experience with machine-learning and artificial intelligence approaches is preferred
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