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Fractal Analytics Ltd.

Data Scientist

NY, United States

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Job details

Apply by: Feb 28, 2027
Experience: 8+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
Working hours: 30 hours per week
Posting language: English
Posted: Nov 13, 2026

Original job description

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!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

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Jobs in the United States