Senior Data Scientist, Growth at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

216000.0

Posted On

08 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Applied Machine Learning, Python, SQL, Experimentation Techniques, Causal Inference, Marketing Measurement, Attribution, Predictive Modeling, Media Mix Modeling, Incrementality Testing, Channel Optimization, Communication Skills, Analytical Skills, Collaboration, Data Quality

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, Growth in United States. In this role, you will drive data-driven growth strategies by measuring, modeling, and optimizing top-of-funnel acquisition performance across multiple marketing channels. You will build advanced analytics and experimentation frameworks, from attribution and incrementality testing to media mix modeling, to guide strategic marketing investments. Collaborating closely with Marketing, Product, and Engineering teams, you will translate complex behavioral and predictive analyses into actionable insights. The position offers the opportunity to influence high-impact decisions that expand reach, improve lead quality, and accelerate user acquisition. The environment is dynamic, mission-driven, and emphasizes scientific rigor applied to meaningful outcomes in a rapidly growing organization. Accountabilities: Design, execute, and analyze experiments across acquisition channels, including A/B tests, geo experiments, and lift studies. Develop and maintain measurement frameworks for attribution, incrementality, and media mix modeling to guide marketing strategy. Partner with Marketing and Product teams to optimize campaigns, improve lead efficiency, and enhance targeting. Build predictive models and analytics pipelines to identify high-potential audiences and inform growth decisions. Translate complex analytical results into actionable insights for cross-functional stakeholders and leadership teams. Collaborate with Engineering and Data teams to ensure data quality, instrumentation, and reliability of metrics. Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related quantitative field; Master’s or PhD preferred. 6+ years of experience in data science, applied machine learning, or related fields. Strong proficiency in Python, SQL, and experimentation/causal inference techniques. Experience in marketing measurement, attribution, and predictive modeling (e.g., MMM, incrementality testing, channel optimization). Ability to handle ambiguous, open-ended research questions and convert findings into actionable insights. Excellent communication skills with the ability to explain complex ideas clearly and build trust across teams. Passion for leveraging data to drive impactful growth initiatives. Competitive base salary: $183,600 - $216,000 USD. Performance-based variable compensation and equity grants. Medical, Dental, and Vision coverage. HSA / FSA contributions. 401(k) plan. Flexible PTO and 13 paid holidays plus a Holiday Break between December 25–31. Work-from-home stipend. Therapy and fertility reimbursement programs. 16-week parental leave for eligible employees. Employee Assistance Program (EAP). Professional training and development opportunities. 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. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 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! #LI-CL1

Responsibilities

Drive data-driven growth strategies by measuring, modeling, and optimizing acquisition performance across marketing channels. Collaborate with cross-functional teams to translate complex analyses into actionable insights.