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  • Data Scientist

    Credit Bureau data and B2C-facing analytic solutions is highly preferred Hands-on experience in predictive modeling and data mining Proficiency in programming languages and tools such as R, Python, SAS, SQL, and Java/C++ Familiarity with distributed

    R Python SAS SQL
  • Lead Scientist, Analytics

    Credit Bureau data and B2C-facing analytic solutions is highly preferred Hands-on experience in predictive modeling and data mining Proficiency in R, Python, SAS, SQL, Java/C++, and familiarity with machine learning tools Experience analyzing large

    R Python SAS SQL
  • Senior Scientist, Analytics

    Credit Bureau data is highly preferred Familiarity with analytic techniques like neural networks and regression methods is highly preferred Experience with programming languages such as R, SQL, Python, or Java

    Data Quality Data Collection Data Normalization Data Transformation
  • COACHING
    Free Coaching - Learn From the Pros

    Get access to expert-led coaching session recordings on AI, resumes, LinkedIn, interviewing, and more when you register.

  • Senior Biostatistician

    members Required Qualifications Master's or Ph.D. in Biostatistics, Mathematics, Epidemiology, Health Economics, Data Science, or related field 5+ years of applied statistical experience with EHR and/or claims data Strong programming skills in R and SQL...; experience with Python, PySpark, or Databricks is a plus Proven expertise in advanced statistical methods and understanding of biases in real-world data Experience with structured health data and medical ontologies such as ICD-10 and CPT

    Time-to-event Analysis Difference-in-difference R Python
  • Associate Research Scientist

    communicate study results Serve as the analytics expert on projects, making recommendations on study direction Required Qualifications Master's degree in health services research or a related field Proficiency in programming languages such as R, Python..., SQL, or SAS 0-2 years of relevant research experience Ability to work effectively both individually and as part of a team

    R Python SQL SAS
  • Senior Data Scientist

    quantitative data analysis role involving user behavior and large data sets Expertise in statistics, hypothesis testing, and experiment design Experience with predictive models and causal inference models Proficiency in data analysis tools such as R, Python..., and SQL

    Statistics Hypothesis Testing Experiment Design A/B Testing