Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist - Pharma
Los Angeles, California, United States
Live, first seen by us 21 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Before you apply
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingDesign 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
From the employer’s posting
Key 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
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
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
What you’ll bring
All qualificationsCore experience
- 6 – 8 years in data science or applied ML, with hands-on NBA, NBC, recommendation, or personalization work in production
- Experience with regulated or compliance-constrained data (e.g., HIPAA)
- 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
Preferred experience
- Master's or PhD preferred
Qualification wording
6 – 8 years in data science or applied ML, with hands-on NBA, NBC, recommendation, or personalization work in production
Experience with regulated or compliance-constrained data (e.g., HIPAA)
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)
Education & alternatives
- Experience with experimentation, A/B testing, and measuring incrementality - Bachelor's or Master's in a quantitative field (Master's or PhD preferred) Preferred (Not Required)
About Tiger Analytics
We 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.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 21, 202621 days ago
- Recorded sightings
- 27
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 21
Similar jobs usually come down between day 8 and day 59.
At Tiger Analytics, jobs usually come down by about day 68.
From 11,601 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- Databricks
- Delta Lake
- MLflow
- Spark
- PySpark
- PyTorch
- TensorFlow
Where the posting names them
- 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)
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it We are seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks. Key Responsibilities:
- 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
- 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)
- Experience with regulated or compliance-constrained data (e.g., HIPAA) - Databricks certifications Why Join Tiger Analytics:
- 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
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
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Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About Tiger Analytics
Shape the Future of AI. Transform the World's Leading Businesses.
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. We 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.
We are 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. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it
We are seeking a hands-on, highly skilled Senior Data Scientist to join our advanced analytics and AI team supporting some of our large enterprise clients. In this role, You'll build the decisioning engine behind next best action (NBA) and next best content (NBC) for commercial teams. The work covers modeling, offline evaluation, and production deployment on Databricks.
Key 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
- Bachelor's or Master's in a quantitative field (Master's or PhD preferred)
Preferred (Not Required)
- Life sciences or pharma commercial analytics (omnichannel, HCP/patient engagement, field force, patient journey data)
- Familiarity with CRM, CDP, or marketing automation platforms
- Causal inference and uplift modeling
- Experience with regulated or compliance-constrained data (e.g., HIPAA)
- Databricks certifications
Why Join Tiger Analytics:
- Drive High-Impact Business Transformation: Lead strategic engagements that go beyond traditional analytics, delivering enterprise-wide AI adoption, cloud-native data modernization, and measurable business outcomes.
- Build and Lead at Global Scale: Collaborate with exceptional AI, data, engineering, and consulting talent across geographies to deliver transformative solutions and grow strategic client partnerships.
- Benefits: Medical, Dental, Vision, Retirement Accounts, Long and Short Term Disability, Life Insurance, HSA/FSA Accounts (USA) and Discretionary time-off.
- Continuous Learning & AI Upskilling: Stay ahead of the rapidly evolving AI landscape through continuous learning, hands-on exposure to emerging technologies, and opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms. Grow alongside a team that invests in developing future-ready skills and encourages innovation.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
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.
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Los Angeles, California, United States
Working pattern and location restrictions need checking in the full posting.
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