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Solera, Inc. logo
Solera, Inc.

The global leader in vehicle lifecycle management.

Data Scientist

Data ScientistData ScientistOtherRemoteJuniorTeam 5,001-10,000Since 2005H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

108 days ago

Salary

0

Seniority

Junior

Bachelor Degree1 yr expExperience acceptedEnglishBigQueryPySparkPythonApache SparkSQL

Job Description

Data Scientist

Solera, Inc.

• Execute and contribute to the design of observational studies using claims data (e.g., case-control matching, difference-in-differences, propensity score methods) • Conduct analyses to measure the cost and outcomes impact of Solera's programs • Investigate product and engagement data to identify patterns, drop-off points, and opportunities to improve outcomes • Build and maintain analysis and modeling pipelines in Python and Spark for feature engineering, cohort construction, and outcomes measurement • Contribute to the team's ML products (e.g., risk models, patient matching) through feature development, evaluation, and iteration • Collaborate cross-functionally with health economics, clinical, product, sales, and engineering teams to interpret results and deliver actionable insights • Document methodologies and findings clearly enough to withstand external scrutiny • Work with cloud data infrastructure (BigQuery, GCS, Dataproc) to query, transform, and analyze large datasets

Job Requirements

  • Bachelor's degree in Computer Science, Data Science, Statistics, Biostatistics, Mathematics, or a related quantitative field (required)
  • Master's degree in Biostatistics, Statistics, or a related discipline strongly preferred — or a CS/Data Science degree with significant coursework in statistics, causal inference, and study design
  • 1-3 years of professional experience in data science, statistical analysis, or quantitative research (graduate research, thesis work, or internships count)
  • Strong foundation in statistical methods: regression, hypothesis testing, study design
  • Familiarity with causal inference concepts and when they apply — through coursework, research, or professional experience
  • Ability to assess data quality, identify inconsistencies, and understand how upstream issues affect downstream results
  • Python and SQL proficiency — you will build and maintain analysis pipelines, not just run ad-hoc queries. We will train you on our stack (PySpark, BigQuery, GCS), but you should be comfortable writing and reviewing code in a collaborative engineering environment.

Benefits

  • Competitive salary
  • Comprehensive medical, dental, and vision coverage starting Day One
  • Flexible time off beyond standard company holidays
  • 401(k) with company match and financial wellness resources
  • Generous parental leave and adoption assistance
  • Remote-first work culture with team events and community building
  • Phone stipend and wellness perks (Fitbit, fitness/mental health app access)

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