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Masters Remote Python Database Jobs

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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

    Statistical Modeling Machine Learning Numerical Optimization R
  • Lead Data Engineer

    ., SQL, NoSQL, Python) Understanding of database design, data exchange formats, and data movement concepts Experience in application development and data modeling

    Snowflake ETL ELT Power BI
  • Senior Payment Engineer

    ., Java, Python) and experience with databases Familiarity with cloud platforms and microservices architectures

    Payment Processing Financial Systems Ledger Systems Reconciliation Processes
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    Get access to expert-led coaching session recordings on AI, resumes, LinkedIn, interviewing, and more when you register.

  • 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

    SQL Python EMR Clarity
  • 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)

    Predictive Modeling Data Analysis Statistical Modeling R
  • 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

    Quantitative Modeling Statistical Methods Time-series Analysis Machine Learning
  • 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

    Machine Learning Statistical Models Data Analysis Cryptocurrency
  • 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

    Statistical Research Data Science Advanced Analytics Data Visualization
  • 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

    Python SQL Machine Learning Statistical Models
  • 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

    Quantitative Modeling Credit Risk SAS R