Vice President, Data Science & Strategy

About the Role and You

We’re looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn’t a role about building models in isolation—it’s about transforming how a business makes decisions, identifies opportunities, and drives growth. You’ll be equal parts analyst, advisor, and architect of our strategic direction.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely two days a week. Ideal candidates should be local to the desired location. This position is not eligible for immigration sponsorship.

You’ll sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You’ll work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.
Your day-to-day will involve identifying the right questions to ask before anyone else thinks to ask them, building the analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You’ll own strategic initiatives from conception through execution, measuring impact and iterating as you go. You’ll travel to client sites as needed.

The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long‑term planning. You’ve seen how businesses succeed and fail, and you know how to spot the difference.
The Technical Depth: You’re genuinely strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are second nature to you.
The Translation Layer: You can explain complex analytical concepts to non‑technical stakeholders without dumbing them down. You know how to build conviction around data‑driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
The Business Acumen: You understand P&L, growth metrics, customer economics, and operational levers. You’ve worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.

• 5+ years of experience in analytical roles with increasing strategic responsibility
• Strong foundation in statistics, machine learning, and quantitative analysis
• Demonstrated experience influencing business strategy through data
• Track record of identifying and driving growth opportunities
• Excellent communication skills with technical and executive audiences
• Proficiency in modern data science tools and languages
• Understanding of business finance and growth frameworks

You might come from management consulting with deep analytical chops, strategic roles at high‑growth companies, corporate strategy teams with hands‑on data work, or data science roles where you’ve grown into strategic advisory. What matters most is that you’ve successfully used data to change how businesses operate and grow.

In your first year, you’ll have identified three major strategic opportunities we weren’t seeing before, built the analytical infrastructure to evaluate them rigorously, and driven at least one to implementation with measurable business impact. You’ll have become a trusted advisor to leadership and the person they turn to when facing the company’s thorniest strategic questions.

The annual salary for this role ranges from: $145,000 to $195,000 USD + bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.