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.
Lead Data Scientist - Pharma Commercial Analytics
New York, United States
Live, first seen by us 14 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
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 postingLead commercial analytics on brand performance, HCP engagement and account performance
Analyze Rx and claims data to find trends, growth opportunities and performance gaps
Develop customer segmentation, targeting and opportunity assessment strategies
Run root cause analysis on business performance and recommend fixes
Validate commercial data for accuracy and consistency
From the employer’s posting
Lead commercial analytics initiatives focused on brand performance, HCP engagement, and account-level performance.
Analyze prescription (Rx) and claims data to identify trends, growth opportunities, and performance gaps.
Develop and execute customer segmentation, targeting, and opportunity assessment strategies.
Conduct root cause analysis (RCA) to investigate business performance and recommend actionable solutions.
Manage and validate commercial data, ensuring accuracy, consistency, and reliability of insights.
What you’ll bring
All qualificationsCore experience
- 10–15 years of overall experience, including at least 7 years in pharmaceutical commercial analytics.
- Strong experience in US pharma commercial analytics and commercial data interpretation.
- Expertise in HCP and account analytics, brand performance, segmentation, and targeting.
- Hands-on experience with prescription (Rx) and claims data analytics.
- Experience in root cause analysis, opportunity assessment, and commercial data validation.
- Excellent communication and stakeholder management skills.
Qualification wording
10–15 years of overall experience, including at least 7 years in pharmaceutical commercial analytics.
Strong experience in US pharma commercial analytics and commercial data interpretation.
Expertise in HCP and account analytics, brand performance, segmentation, and targeting.
Hands-on experience with prescription (Rx) and claims data analytics.
Experience in root cause analysis, opportunity assessment, and commercial data validation.
Excellent communication and stakeholder management skills.
Benefits in the posting
Full benefits wording- Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
From the employer’s posting.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 28, 202614 days ago
- Recorded sightings
- 16
- 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 14
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 to compare the role’s scope, tools and requirements with your experience.
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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
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 looking for a Lead – Pharma Commercial Analytics with strong experience in US pharmaceutical commercial analytics and consulting. The ideal candidate will lead commercial intelligence initiatives, translate complex healthcare data into actionable business insights, and support strategic decision-making through analytics.
This role requires expertise in HCP and account analytics, brand performance, customer segmentation, and prescription and claims data, along with the ability to engage stakeholders and deliver executive-level insights.
Responsibilities:
- Lead commercial analytics initiatives focused on brand performance, HCP engagement, and account-level performance.
- Develop and execute customer segmentation, targeting, and opportunity assessment strategies.
- Analyze prescription (Rx) and claims data to identify trends, growth opportunities, and performance gaps.
- Conduct root cause analysis (RCA) to investigate business performance and recommend actionable solutions.
- Manage and validate commercial data, ensuring accuracy, consistency, and reliability of insights.
- Analyze account hierarchies and customer relationships to support commercial strategy and execution.
- Deliver ad hoc analytics to address evolving business needs and stakeholder priorities.
- Translate complex analytical findings into clear, actionable recommendations for senior leadership.
- Collaborate with cross-functional stakeholders to drive commercial intelligence initiatives and ensure operational readiness.
- Support knowledge transition, stakeholder alignment, and ongoing delivery within a managed services engagement.
Requirements
- 10–15 years of overall experience, including at least 7 years in pharmaceutical commercial analytics.
- Strong experience in US pharma commercial analytics and commercial data interpretation.
- Expertise in HCP and account analytics, brand performance, segmentation, and targeting.
- Hands-on experience with prescription (Rx) and claims data analytics.
- Experience in root cause analysis, opportunity assessment, and commercial data validation.
- Strong analytical problem-solving skills and the ability to generate executive-level insights.
- Excellent communication and stakeholder management skills.
- Experience working in a consulting or client-facing analytics environment.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and 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.
Source details
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.