Data Scientist

Be a part of a revolutionary change

At PMI, we’ve chosen to do something incredible. We’re building our future on one clear purpose – to deliver a smoke-free future.

With huge change, comes huge opportunity. So, wherever you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.

We are hiring a Data Scientist to own the full analytical arc, from the raw data to the decision a leader acts on. This is a hands-on, full-stack role: you will build predictive and prescriptive models, forecast business outcomes with stated confidence, and translate statistical findings into a recommendation an executive can act on without translation.

The scope spans the enterprise — Commercial, Marketing, Market Economics, and Consumer Research. You will not be handed problems pre-solved. You will frame them, model them, and tell the story that gets them funded.

What sets this role apart: we are not hiring a model-builder who hands off to someone else to explain the result. We are hiring the person who closes the loop — from data quality to deployed model to the one slide that earns a yes.

Your ‘day To Day’

Predictive & Prescriptive Modeling

• Build models that call outcomes, not just describe trends. Develop predictive and prescriptive models that forecast business outcomes with explicit probabilities and confidence levels.
• Find the signal in scale. Apply statistical methods and analysis to identify trends and drivers in large, complex datasets.
• Forecast across time. Apply time-series methods (e.g., Prophet, ARIMA) and growth modeling (S-curves) to project demand, adoption, and business trajectory.
• Solve problems across the enterprise. Apply analysis to Commercial, Marketing, Market Economics, and Consumer Research — wherever the highest-value question sits.

Innovation & GenAI Leverage

• Stay at the frontier. Maintain current knowledge of emerging methods and techniques and translate them into new solutions and projects.
• Automate the manual. Apply Solution to streamline business processes and remove manual workflows — redirecting analyst time from wrangling to thinking.

Insight & Executive Storytelling

• Make a leader trust a number. Translate complex statistical findings into clear, actionable recommendations for senior leadership.
• Prove what works. Use experimentation — A/B and multivariate testing, including hypothesis design, sizing, and significance — to validate decisions before they scale. Use GA4 and Looker to ground recommendations in real user behavior.

Who We’re Looking For

Experience & Education

• 3+ years in Data Science, advanced analytics, or a closely related quantitative field, with a track record of models shipped into production.
• Quantitative degree. Bachelor’s or Master’s in a STEM-related field.

Technical Capabilities (the Floor, Not The Differentiator)

• Advanced SQL — CTEs, window functions, performance-aware querying.
• Python for data science — Pandas, scikit-learn, Statsmodels.
• Experimental design — deep understanding of A/B testing and statistical inference (Frequentist or Bayesian).
• Time-series & growth modeling — Prophet, ARIMA, S-curve methods.

Competencies That Separate the Best

• Product-first instinct. You ask why users behave the way they do — not just what the data reports.
• Executive communication. You can make a non-technical leader trust, and act on, a complex result.
• Adaptability. You move fluidly between long-horizon research and fast-paced experimentation cycles.
• Ownership. You treat data quality, model reliability, and the final recommendation as one continuous responsibility — yours.

[Not eligible for ERP reward]

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