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About the Role
Tiger Analytics is seeking a hands-on, highly skilled Senior Data Scientist to join their advanced analytics and AI team. You will build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams, covering modeling, offline evaluation, and production deployment on Databricks.
Responsibilities
- Design and deploy NBA/NBC models that choose 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 that feed the decisioning layer
- Run offline policy evaluation and online experiments to measure incremental impact
- Own Databricks training pipelines: PySpark feature engineering, MLflow tracking, Unity Catalog lineage, and automated evaluation gates before models reach production
- Design feedback loops so outcomes flow back into retraining
- Apply GenAI/LLMs where useful, such as content tagging, insight summarization, and content personalization
- Partner with engineering, marketing technology, and business stakeholders, and explain results to non-technical audiences
- Mentor junior data scientists and set modeling standards
Requirements
- 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
- Life sciences or pharma commercial analytics (omnichannel, HCP/patient engagement, field force, patient journey data) (Preferred)
- Familiarity with CRM, CDP, or marketing automation platforms (Preferred)
- Causal inference and uplift modeling (Preferred)
- Experience with regulated or compliance-constrained data (e.g., HIPAA) (Preferred)
- Databricks certifications (Preferred)
Skills
- Python
- SQL
- Databricks
- Spark
- PySpark
- Delta Lake
- MLflow
- Machine Learning
- Deep Learning
- Reinforcement Learning
- PyTorch
- TensorFlow
- MLOps
- CI/CD
- A/B testing
- GenAI
- LLMs
Location
- USA
Work Type
- Full-time
Experience Level
- Senior
- 6-8 years
Education Level
- Bachelor's or Master's in a quantitative field (Master's or PhD preferred)
Benefits
- Medical
- Dental
- Vision
- Retirement Accounts
- Long and Short Term Disability
- Life Insurance
- HSA/FSA Accounts (USA)
- Discretionary time-off
About the Company
- Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organizations to redefine how business gets done.
- They help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
- Tiger Analytics is at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms.
- They have a global presence across North America, Latin America, Europe, and India.
- At Tiger Analytics, they don't just help businesses adapt to the future—they help them build it.
Equal Opportunity
- Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.