Data Scientist, Ads (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

303900.0

Posted On

21 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Statistical Modeling, Experimental Design, Predictive Models, Optimization Techniques, Causal Inference, A/B Testing, Python, R, SQL, Problem-Solving, Communication, Collaboration, Mentoring, Economic Analysis

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Scientist, Ads in the United States. In this role, you will drive advanced data science initiatives to enhance advertising performance and user engagement. You will own high-impact problem areas, from advertiser growth to ad formats and monetization, leveraging machine learning, statistical modeling, and experimental design. The position offers the autonomy to define metrics, develop predictive models, and influence strategic decisions that shape the future of digital advertising. You will work closely with cross-functional teams, translating insights into actionable outcomes while mentoring others and setting high technical standards. This role is ideal for a data scientist passionate about leveraging data to drive measurable business impact at scale. Accountabilities: Take ownership of complex advertising problem spaces, such as funnel acceleration and advertiser lifetime value. Build and deploy predictive models, optimization frameworks, and decision-support tools to inform advertiser acquisition and retention strategies. Define business and performance metrics and design methodologies to measure the impact of product and modeling changes. Collaborate with engineering, product, and sales teams to align goals, translate insights into action, and drive execution. Mentor colleagues and promote best practices in modeling, experimentation, and measurement. Apply causal inference, economic analysis, and large-scale data techniques to solve novel problems in the ad ecosystem. Master’s or Ph.D. in Statistics, Computer Science, Economics, Operations Research, or a related quantitative discipline. For M.S. holders: 10+ years of industry experience; for Ph.D. holders: 6+ years in applied science, data science, or machine learning roles. Expertise in one or more areas: Ads creative & format evaluation, measurement & experimentation at scale, or customer growth & lifecycle analysis. Advanced proficiency in Python or R and SQL. Experience with machine learning, optimization techniques, and large-scale data systems. Strong understanding of experimental design, causal inference, and A/B testing. Exceptional problem-solving, communication, and collaboration skills. Ability to thrive in fast-paced, ambiguous environments and influence cross-functional teams. Competitive salary: $217,000 — $303,900 USD, with eligibility for equity and commissions. Comprehensive healthcare benefits and income replacement programs. 401(k) with company match. Family planning support and gender-affirming care. Mental health, coaching benefits, and wellness programs. Flexible vacation, global days off, and paid parental leave. Paid volunteer time off. Transparent pay structure and additional perks for U.S.-based employees. 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 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! #LI-CL1

Responsibilities

In this role, you will drive advanced data science initiatives to enhance advertising performance and user engagement. You will own high-impact problem areas, leveraging machine learning, statistical modeling, and experimental design.