Data Scientist
At a glance
Mid-level Data Science role at Fractal. New York · full-time · $135,000–$160,000 base.
dataroles summary, based on the employer's posting.
What you'll do
- Build and put into use data science and AI methods for commercial pharmaceutical challenges
- Shape business priorities into analytics work, from defining the question through deployment and adoption
- Apply statistical analysis, prediction, machine learning and generative AI to practical business problems
- Share findings and proposed actions with Pfizer teams, adapting the explanation for business or technical audiences
- Develop reusable analytics approaches and support expansion of data science work across the client organization
What you bring
- A master's or PhD in a quantitative area such as data science, statistics or computer science
- At least eight years in data science, AI, machine learning or advanced analytics
- Deep knowledge of commercial pharmaceutical analytics and the ability to turn its business needs into solutions on your own
- Hands-on Python and SQL skills, plus experience with modeling, generative AI and LLM-based work
- A track record of engaging business partners and senior leaders directly
Who this fits
This role suits a data scientist who can pair commercial pharma expertise with hands-on technical delivery without relying on domain consultants. The work includes direct collaboration with Pfizer and requires an onsite presence.
From the employer
It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems and Fractalites are the ones building that future.
As we grow our work helping enterprises build and scale AI products, we are looking for a Product Analytics & Insights Leader to own the analytics strategy, measurement operating model, and executive performance story for an enterprise AI platform focused on employee experience. You will connect product behavior, employee experience, and business outcomes to explain where the platform creates value, where it falls short, and what leadership should do next.
About the Role
We are seeking a highly skilled Data Scientist with deep Pharmaceutical Commercial domain expertise to strengthen our onsite presence and support the growth of advanced analytics and AI initiatives within Pfizer. The ideal candidate will combine strong technical data science capabilities with hands-on understanding of commercial pharma use cases, enabling them to independently drive business-focused AI and analytics solutions without reliance on separate domain consultants.
Key Responsibilities
Data Science & AI Delivery
- Develop and deploy advanced analytics, machine learning, and AI solutions for commercial pharmaceutical business challenges.
- Partner with business and analytics stakeholders to identify opportunities and translate them into impactful data science solutions.
- Apply statistical modeling, predictive analytics, machine learning, and Generative AI techniques to solve real-world business problems.
- Drive end-to-end execution from problem framing and data exploration to model deployment and business adoption.
Commercial Pharma Analytics
- Leverage deep understanding of pharmaceutical commercial functions to develop relevant and actionable solutions.
- Work across use cases such as: Sales Force Effectiveness (SFE) Customer Analytics Next Best Action (NBA) Patient Analytics Omnichannel Engagement Commercial Forecasting Market Access Analytics Brand Performance Analytics HCP Segmentation and Targeting
Client & Stakeholder Engagement
- Collaborate directly with Pfizer stakeholders to understand business priorities and analytical requirements.
- Present insights, recommendations, and solution outcomes to both technical and business audiences.
- Act as a trusted analytics partner capable of bridging business context and technical execution.
Growth & Innovation
- Support ongoing and emerging opportunities within the data science and AI portfolio.
- Contribute to the development of reusable analytics frameworks, accelerators, and AI-driven solutions.
- Help expand the footprint of data science capabilities within the client organization.
Required Qualifications
- Master's or PhD in Data Science, Statistics, Computer Science, Engineering, Mathematics, Economics, or a related quantitative discipline.
- 8+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
- Strong experience in Pharmaceutical Commercial Analytics.
- Proven ability to independently translate commercial pharma business problems into analytical solutions.
- Hands-on expertise in: Python, SQL Machine Learning and Statistical Modeling Generative AI and LLM-based solutions Data Visualization and Storytelling Experimentation, Forecasting, and Predictive Analytics
- Experience working directly with business stakeholders and leadership teams.
Preferred Qualifications
- Experience supporting global pharmaceutical organizations such as Pfizer, Novartis, Merck, Bristol Myers Squibb, Roche, Sanofi, GSK, or AstraZeneca.
- Exposure to cloud-based AI/ML platforms (AWS, Azure, or GCP).
- Experience with MLOps, AI deployment, and model monitoring.
- Familiarity with commercial data sources including IQVIA, Symphony Health, Veeva, and claims datasets.
Pay:
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $135000-$160,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.
Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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