Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
About the role
- Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Responsibilities
- Analyze large, structured and unstructured datasets to extract actionable insights and support business decision-making
- Develop and implement data-driven solutions for marketing performance measurement, including ROI analysis and optimization
- Design and build statistical and econometric models (e.g., marketing mix models, forecasting models)
- Leverage AI and machine learning techniques, including AI agents and LLM-based solutions, to enhance analytical capabilities
- Collaborate with cross-functional teams to translate business requirements into analytical frameworks and technical solutions
- Identify opportunities to apply advanced analytics to improve marketing efficiency and effectiveness
- Automate data pipelines, reporting, and analytical workflows using modern tools and technologies
- Communicate insights clearly to stakeholders through data visualization and storytelling
Requirements
- A curious and proactive individual who is passionate about data science and continuous learning
- Strong interest in applying analytical and AI-driven approaches to real-world marketing challenges
- Ability to independently investigate opportunities and propose innovative solutions
- Excellent communication skills with both technical and non-technical stakeholders
- Strong academic background in Mathematics, Econometrics, Statistics.
- Proficiency in Python, SQL, and/or R for data analysis and modeling
- Experience with data manipulation, statistical analysis, and model development
- Solid understanding of econometric techniques and their business applications
- Knowledge of AI agent frameworks (e.g., LangChain) and LLM applications
- Strong problem-solving skills and ability to work with complex datasets
- Experience in marketing analytics, such as marketing mix modeling, attribution, or customer analytics
- Familiarity with cloud platforms and data engineering concepts
- Experience with visualization tools (e.g., Tableau, Power BI, or Python libraries)
Benefits
- Our differentiator is – Our People!
- We foster a culture of PEOPLE, PASSION and GROWTH.
- Innovation and results are rewarded.
- Opportunities to achieve their best and ensure we foster an environment of diversity, equity, and inclusion.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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