Senior Data Scientist at Clearco enhancing risk and revenue models through data science and machine learning. Collaborating with cross - functional teams to drive analytics and model production.
About the role
- Lead Ads AI Analytics at Instacart to create actionable insights for enhancing ad performance. Collaborate with multiple teams to drive revenue growth and improve advertising outcomes.
Responsibilities
- Define Ads ontologies and metrics for campaigns, budgets, bids, creatives, audiences, and placements.
- Build dbt models and curated marts in Snowflake with clear data contracts, tests, and SLOs.
- Ingest and enrich unstructured Ads content and publish retrieval‑ready datasets using our managed search/vector services.
- Design and evaluate retrieval workflows (RAG) with existing services for hybrid search and re‑ranking; set quality/latency targets and iterate via experiments.
- Design agent reasoning and policies on ads, including tool definitions and human‑in‑the‑loop approvals.
- Establish evaluation suites covering precision/recall, calibration, hallucination rate, latency, and cost.
- Run A/B or uplift experiments to quantify impact and guide iteration.
- Translate Ads problems into agent behaviors and own KPIs such as ROAS lift, pacing accuracy, RCA precision/recall, forecast MAPE, and time‑to‑insight.
Requirements
- 4–7 years in analytics engineering, data science, or applied AI with strong SQL and Python.
- 2+ years of domain expertise in ads, retail, or e-commerce data.
- Advanced Proficiency in Python and SQL, with experience using dbt and Snowflake or BigQuery, including skills in data modeling, testing, and managing data contracts.
- Deep Expertise in orchestrating data pipelines using dbt and Airflow
- Experience with at least one data visualization tool (Tableau, Mode, Power BI, Looker, or similar)
- Ability to design offline/online evaluations and run A/B or uplift tests
- Fluency in Ads analytics concepts such as ROAS, CPA, CTR, CVR, LTV, pacing, auction dynamics, and incrementality.
- Strong stakeholder communication with a track record of shipping production data or AI systems that drove business impact.
- Understanding of ML models to drive recommendations on bid, keywords, and budgets
- Experience with evaluation and guardrail frameworks and human‑in‑the‑loop QA.
Benefits
- Competitive compensation
- New hire equity grant
- Annual refresh grants
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
Senior Data Scientist II driving AI for Analytics at Instacart. Utilizing data to enhance product features and collaborating with cross - functional teams.
Senior Data Scientist focused on Generative AI and LLM at Manulife. Develop and implement machine learning models to solve business problems and mentor peers.
Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
LP
Senior Data Management Associate
LinkedIn Recruiter Post
Senior Data Management Associate role in Toronto driving data quality and governance in investment systems. 9 - month hybrid contract at $80 - 85/hr.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Senior Marketing Data Scientist for Mozilla providing analytical support to marketing team's investment decisions. Measuring marketing performance and uncovering insights to enhance impact.
Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Data Scientist at Dropbox partnering with product, engineering, and design teams for analytics and business growth. Focusing on revenue growth, product optimization, and launching high - impact initiatives.