Senior Data Scientist – Pharma
Tiger Analytics
Posted: 10/22/2026PySparkPythonPyTorchSparkSQLTensorflowUnity
Senior Lead Analytics Consultant
Wells Fargo
Posted: 10/22/2026PMPPythonSQLTableau
Machine Learning Data Scientist – Consumer Forecasting
OpenAI
Posted: 10/22/2026PythonPyTorchScikit-LearnSQLTensorflow
Data Scientist
Wilson
Posted: 10/22/2026SQL
Clinical Data Scientist
Xenon Seven
Posted: 10/22/2026CloudPython
Principal Data Scientist, Payments Intelligence
WEX
Posted: 10/22/2026PythonSQL
Principal Data Scientist
EXL
Posted: 10/22/2026BigQueryCloudPandasPythonPyTorchScikit-LearnSparkSQLTensorflow
Senior Product Manager, Data Products
MURAL
Posted: 10/22/2026SQL
Senior Data Scientist
Kiavi
Posted: 10/22/2026CloudPythonPyTorchTensorflow
Director, Data Science & Analytics
Coherent Corp.
Posted: 10/22/2026AWSAzureCloudGoogle Cloud PlatformPMPPythonSparkSQL
Data Scientist
CHG Healthcare
Posted: 10/21/2026CloudPythonSQL
Senior Data Scientist, Safety Enforcement
Reddit, Inc.
Posted: 10/21/2026PythonSQL
Head of Data & AI Platform
Baker Tilly US
Posted: 10/21/2026
Senior Associate, Data Scientist – Alternative Data Strategy
Capital One
Posted: 10/21/2026AWSCloudPythonScalaSparkSQL
Manager, Data Scientist – Alternative Data Strategy
Capital One
Posted: 10/21/2026AWSCloudOpen SourcePythonSpark
Data Science Engineering Co-Op
RTX
Posted: 10/21/2026Python
Lead Data Scientist
Ritchie Bros.
Posted: 10/21/2026Lead Data Scientist
Ritchie Bros.
Posted: 10/21/2026
Business Reporting and Data Manager
Bank of America
Posted: 10/21/2026HadoopOraclePythonSQLTableau
Manager – Data Management
Vanguard
Posted: 10/21/2026Senior Data Scientist – Pharma
Tiger AnalyticsPosted 10/22/2026full-timeRemote • California • United StatesSenior💰 $120,000 - $140,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying NBA/NBC models, leveraging machine learning and deep learning techniques, and managing Databricks training pipelines. Proficient in translating complex data science concepts to non-technical stakeholders while mentoring junior team members.
Highest-signal resume keywords
Databricks ExperienceMachine Learning ExpertiseDeep Learning ProficiencyPython and SQL ProficiencyMLOps Practices
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Design and deploy NBA/NBC models selecting the right action, channel, content, and timing for each customer or HCP
- Build ML, deep learning, and reinforcement learning solutions, including contextual bandits, sequential decision models, and policy-based methods
- Develop propensity, response, and uplift models feeding the decisioning layer
- Run offline policy evaluation and online experiments to measure incremental impact
- Own Databricks training pipelines, including PySpark feature engineering, MLflow tracking, Unity Catalog lineage, and automated evaluation gates
- Design feedback loops so outcomes flow back into retraining
- Apply GenAI/LLMs for content tagging, insight summarization, and content personalization
- Partner with engineering, marketing technology, and business stakeholders
- Explain results to non-technical audiences
- Mentor junior data scientists and set modeling standards
Requirements
What you’ll need- 6 – 8 years in data science or applied ML, with hands-on NBA, NBC, recommendation, or personalization work in production
- Strong Databricks experience (Spark/PySpark, Delta Lake, MLflow; Feature Store or Unity Catalog a plus)
- Solid grounding in machine learning, deep learning (PyTorch or TensorFlow), and reinforcement learning (e.g., bandits, Q-learning/DQN, PPO)
- Proficiency in Python and SQL
- Experience taking models from prototype to production with MLOps practices (CI/CD, monitoring, retraining)
- Experience with experimentation, A/B testing, and measuring incrementality
- Bachelor's or Master's in a quantitative field (Master's or PhD preferred)
- Life sciences or pharma commercial analytics (preferred, not required)
- Familiarity with CRM, CDP, or marketing automation platforms (preferred, not required)
- Causal inference and uplift modeling (preferred, not required)
- Experience with regulated or compliance-constrained data such as HIPAA (preferred, not required)
- Databricks certifications (preferred, not required)
Benefits
Comp & perks- Medical, Dental, Vision
- Retirement Accounts
- Long and Short Term Disability
- Life Insurance
- HSA/FSA Accounts (USA)
- Discretionary time-off
- Significant career development
- Continuous learning and AI upskilling
- Hands-on exposure to emerging technologies
- Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms
- Equal employment opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
NBA/NBC Model DesignMachine LearningDeep LearningReinforcement LearningPropensity ModelingA/B TestingCausal InferenceUplift ModelingFeature EngineeringIncrementality Measurement
Soft Skills
MentoringCommunication
Tools & Technologies
DatabricksPySparkMLflowPythonSQLPyTorchTensorFlowCRM PlatformsCDP PlatformsMarketing Automation Platforms
Certifications & Qualifications
Databricks Certifications
Industry Keywords
Life SciencesPharma Commercial AnalyticsRegulated DataCompliance StandardsHIPAA