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Jobgether
Jobgether

Senior Data Scientist I, GTM (Remote)

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Marketing strategies
Data
Data Science
+18

Permanent role
19 days ago
Apply now

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist I, GTM in the United States or Canada.

As a Senior Data Scientist focusing on Go-To-Market (GTM) initiatives, you will drive data-informed strategies that optimize customer acquisition and revenue growth. You will work closely with Marketing, Sales Development, and Revenue Operations teams to analyze campaign performance, build predictive models, and identify opportunities to enhance lead quality and conversion. Your insights will directly influence top-of-funnel efficiency and pipeline health, helping the company scale its customer acquisition efforts. This role requires both strong technical expertise and the ability to communicate complex analyses clearly to stakeholders, in a fast-paced, collaborative environment.

Accountabilities:

  • Design, build, and maintain predictive lead scoring models to prioritize high-intent prospects
  • Analyze marketing campaigns and GTM performance to optimize spend, efficiency, and ROI across channels
  • Conduct deep-dive analyses of sales and marketing funnels to identify bottlenecks and areas for improvement
  • Partner with Rev Ops to enhance data infrastructure and establish robust measurement frameworks for GTM activities
  • Communicate insights and actionable recommendations to marketing and sales leadership to inform strategy and tactics
  • Translate ambiguous business questions into structured, statistically rigorous analyses, including causal inference and predictive modeling

Requirements

  • 4+ years of experience in data science or analytics, preferably focused on marketing, sales, or GTM analytics
  • Strong understanding of B2B marketing and sales funnels
  • Proficiency in SQL and Python for data analysis and modeling
  • Solid statistical, analytical, and problem-solving skills
  • High autonomy, ownership, and ability to work effectively in cross-functional, ambiguous environments
  • Excellent communication skills to present complex findings clearly to non-technical stakeholders
  • Bonus: Experience with Looker, Hex, dbt, or predictive modeling for lead scoring, marketing mix modeling, or sales funnel optimization

Benefits

  • Competitive base salary with equity opportunities
  • Comprehensive healthcare, dental, and mental health support tailored to your region
  • Parental planning resources and retirement savings options
  • Generous paid time off and flexible work arrangements
  • Inclusive, diverse, and supportive work culture
  • Opportunities for professional growth, learning, and impact within a fast-paced, high-growth environment

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

šŸ” Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

šŸ“Š It compares your profile to the job's core requirements and past success factors to determine your match score.

šŸŽÆ Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

About Jobgether

šŸ‘„11-50
šŸ“Brussels
šŸ”—Website
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