✦ Luna Orbit — Data & Analytics

Data Scientist - Business Consulting

at Veeva Systems

📍 Remote, US Remote 💰 $95K – $140K USD / year Posted April 10, 2026
Salary $95K – $140K USD / year
Type Full-Time
Experience senior
Exp. Years PhD in STEM field plus 1+ years OR Masters in STEM field plus 3+ years
Education PhD in STEM field; or Masters in STEM field with 3+ years experience
Category Data & Analytics

Data Scientist in Veeva's Business Consulting group transforms raw data into strategic insights for life sciences clients, bridging advanced modeling with tangible business impact in 4-12 week analytics engagements.

  • Solve Real-World Challenges
  • Translate Data to Value
  • Architect Scalable Solutions
  • Consult with Purpose
  • Drive Team Velocity

Proficiency in Python and SQL with experience building scalable data models and pipelines; familiarity with data from pharmacy claims and prescriber trends; exposure to Airflow and AWS is a plus; focus on consumer/brand analytics and sales operations.

The ideal candidate is a senior data scientist with a PhD in a STEM field and 1+ year of data science experience (or a Masters with 3+ years) who can translate complex clinical and commercial data into strategic insights for life sciences clients and drive analytics engagements in a consulting setting.

PhD in STEM field with 1+ years experience OR Masters in STEM field with 3+ yearsData intuition & Real-World MappingMathematical FoundationStrong Programming Skills in Python and SQLExperience in Life Sciences industryAbility to translate data to business valueAnalytical problem solvingAbility to distill complex findings into strategic narratives
Consulting ExperienceAirflow or similar workflow orchestrationAWS ecosystem experienceExposure to longitudinal patient dataspecialty pharmacy claimsor payer data schemas
AirflowAmazon Web ServicesAWSPythonSQLTableauExcel
PhD in STEM field with 1+ years of experience or Masters in STEM field with 3+ years; data intuition & real-world mapping; mathematical foundation; Python and SQL proficiency; Life Sciences industry experience; ability to translate data to business value; strong communication; analytical problem solving
PythonStructured Query LanguageSQLData ModelingPandasNumPyAirflowMachine LearningStatistical AnalysisData Processing Pipelines
CommunicationStakeholder ManagementStrategic ThinkingProblem-SolvingCollaborative
Industry SaaS
Job Function Transform data into strategic commercial insights for life sciences clients in a consulting analytics setting
Role Subtype Data Scientist
Tech Domains Python, Structured Query Language, SQL, Data Modeling, Pandas, NumPy, Airflow, Amazon Web Services, Tableau, Data Pipelines
Data ScientistPythonStructured Query LanguageSQLLife Sciencespharmacy claimsprescriber trends4-12 week analytics engagementsBrand StrategyPatient AnalyticsSales Operationsdata modelsAirflowAirflow or similar toolsAmazon Web ServicesAWSlongitudinal patient dataspecialty pharmacy claimspayer data schemasconsultingdata modelingdata pipelines

No Life Sciences industry experience, No PhD in STEM or Masters in STEM with required experience, No Python/SQL proficiency, No consulting experience

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