Tiger Analytics Inc.
More roles at Tiger Analytics Inc.Senior Data Scientist - Pharma
Remote role where the employee must remain based in a particular country.
Listed for United States
From the listing details: Source listing states candidate location: "San Francisco, United States, San Francisco, California, United States, San Francisco, California, United States, Remote"
Employer listed it 6 days ago · Added 4 days ago
First listed 6 days ago and still open.
Salary
Not stated
Location
Listed for United States
Timezone
US East
Contract
Full-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
- Location eligibility not confirmed
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "San Francisco, United States, San Francisco, California, United States, San Francisco, California, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a nice-to-have
- “Strong Databricks experience (Spark/PySpark, Delta Lake, MLflow; Feature Store or Unity Catalog a plus)”
Questions worth asking: Nomaders interpretation
- The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
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)
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)
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.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Pay not stated · You'll be taken to the employer's careers page.