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
- Head of Data Product leading the end-to-end development of Datos’ data products at Semrush. Delivering innovation in data solutions for enterprise clients through cross-functional collaboration.
Responsibilities
- Own the end-to-end development of Datos’ data products: from idea validation to market delivery
- Define product strategy and roadmap for aggregated and derivative data products
- Lead a cross-functional team of data analysts, scientists, and engineers through discovery, build, and delivery stages
- Validate product-market fit through targeted use cases and lightweight experiments before full development
- Establish and monitor data & data products quality metrics
- Partner with Marketing and Sales to position products, test demand, and support client adoption
- Provide clear, concise documentation for internal and external audiences
- Support commercial teams with playbooks and client Q&A guidance
- Track operational efficiency and data processing costs to optimize product ROI
Requirements
- 5+ years in product management or product development, focusing on data, analytics, or ML-driven products, ideally in B2B
- Proven ability to define product vision and strategy
- Experience owning the full product lifecycle: discovery and validation to delivery, iteration, and scaling
- Demonstrated leadership of multidisciplinary teams (Product, Data Science, Data Engineering, QA)
- Ability to read and interpret raw data samples, logs, and data schemas
- Deep understanding of machine learning principles
- Skilled in hypothesis-driven discovery and validation through prototypes or narrow use cases
- Strong ability to communicate complex data concepts to both technical and business audiences
- Excellent English communication skills (written and spoken)
Benefits
- Flexible working hours
- Unlimited PTO
- Flexi Benefit for your hobby
- Employee Support Program
- Loss of family member financial aid
- Employee Resource Groups
- Meals, snacks, and drinks at the office
- Corporate events
- Teambuilding
- Training, courses, conferences
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
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.