Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Senior Data Scientist developing advanced measurement models to support decision-making across teams. Focusing on causal inference and performance evaluation in technology-oriented industries.
Responsibilities
- Build and apply attribution and causal models (e.g., multi-touch attribution, experimental design).
- Design and analyze experiments to evaluate program effectiveness and user behavior.
- Apply best practices in causal inference and statistical modeling.
- Translate business objectives into measurable outcomes.
- Deliver insights on performance, lifetime value, and incremental impact.
- Collaborate with cross-functional teams to implement measurement frameworks.
Requirements
- Bachelor's degree in Statistics, Econometrics, Economics, Data Science, or a related field.
- 5–10 years of experience in measurement, attribution, or applied data science.
- Proficiency in R (preferred) or Python for statistical modeling and experimentation.
- Experience with modern data platforms such as Databricks and Redshift in production environments.
- Expertise in A/B testing, causal inference, and advanced modeling techniques.
- Ability to work across technical and non-technical teams in a matrixed environment.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist in Digital Transformation team at Lavazza implementing machine learning models and managing model lifecycle within Agile squads. Focusing on solving real business problems.
Data Scientist enhancing Sicredi's data pipeline and generating actionable insights across credit sectors. Collaborating closely with data engineers and analysts to improve decision - making.
Data Scientist role at Airbus developing AI/Data Science solutions for aircraft systems. Focused on value creation and collaboration with engineering teams for embedded computer vision applications.
Data Scientist II using data science techniques for actionable insights. Working with cross - functional teams to resolve data issues and innovate analytical solutions.
Data specialist responsible for data analysis and machine learning solutions at Azul. Collaborating with teams and implementing models within Snowflake platform.
Lead Data Scientist leveraging datasets to build analytics tools for audit practitioners in an inclusive startup environment. Collaborate with teams to improve operational efficiencies and data insights.
Working Student at Fraunhofer Institute for Integrated Circuits IIS developing AI solutions in Data Science and NLP. Focusing on innovative applications and cutting - edge technologies in generative AI and machine learning.
Engage in a dual study program focusing on AI and Data Science. Responsibilities include machine learning model development and data processing in a collaborative environment.
Lead Data Scientist developing AI - powered capabilities at S&P Global. Architecting ML products and mentoring a skilled team in an engaging global environment.