B2B Data Scientist: Growth & GTM Strategy Lead

United States Digital Space LLC; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

United States Digital Space LLC is seeking a Data Scientist to shape the B2B data culture and GTM analytics. You will translate ambiguous questions into executable plans and actionable insights for senior leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science.

You will partner with leadership to design the operating model, address international expansion, monetization, and product penetration, and accelerate decision-making with modern AI tools and analytics craft.

Qualifications

• Senior-level experience in a quantitative role such as Data Science, Product Analytics, Decision Science, Growth Analytics, Strategy Analytics, or a related field.
• Strong business judgment and a track record of translating ambiguous analytical work into decisions that business leaders can act on.
• Experience working on B2B, GTM or commercial strategy, monetization, product growth, or similarly complex business problems.
• Strong technical fluency with SQL and Python, or equivalent experience using data to answer open-ended business questions.
• Ability to connect data across product, customer, sales, revenue, market, and operational contexts to form a coherent view of the business.
• Consulting-style problem solving: you can structure a broad question, identify the highest-leverage analysis, manage uncertainty, and communicate a practical recommendation.
• Excellent executive communication and cross-functional partnership. You can influence senior leaders, field teams, product partners, operators, and other data scientists with clear evidence and balanced judgment.
• Comfort operating in a high-ambiguity, fast-changing environment where the team, roadmap, and stakeholder model are still taking shape.
• Practical AI fluency and curiosity about how modern AI tools can improve analytical workflows, strategic synthesis, and decision support.
• Experience in strategy consulting followed by data science work in technology, or data science work within a consulting analytics practice, is a strong plus.
• An advanced degree is welcome but not required. We care most about your ability to combine analytical rigor, business judgment, and action-oriented communication.

Responsibilities

• Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action.
• Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design.
• Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth.
• Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences.
• Communicate complex findings to executives and cross-functional partners with crisp recommendations, transparent assumptions, and clear tradeoffs.
• Bring practical AI fluency to the work, using modern AI tools to accelerate analysis, synthesize evidence, improve workflows, and identify new ways data science can support business decision-making.
• Help define the operating model for an emerging B2B data science capability, including how the team frames problems, engages stakeholders, evaluates opportunities, and turns insights into GTM action.

Skills

SQL

Python

Data modeling

Stakeholder communication

Business analytics

Education

Advanced degree welcome

Job description

United States Digital Space LLC is seeking a Data Scientist to shape the B2B data culture and GTM analytics. You will translate ambiguous questions into executable plans and actionable insights for senior leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science.

You will partner with leadership to design the operating model, address international expansion, monetization, and product penetration, and accelerate decision-making with modern AI tools and analytics craft.