EE
Data Scientist utilizing data to solve global challenges at Booz Allen. Engaging with clients and analyzing complex data through machine learning and AI methodologies.
About the role
- Build and lead a high-performing team of analysts and data engineers that support teams across product, growth, marketing, curriculum, finance, leadership, and more.
- Define and own the long-term data vision, strategy, and roadmap across infrastructure, analytics, and governance, with a specific focus on the use of AI and related tools to enable the team and scalability.
- Standardize key metrics and definitions across the organization, driving consistency and alignment.
- Develop and maintain robust, scalable data pipelines with >99% uptime and automated monitoring.
- Build and promote self-serve data tools and dashboards that empower teams to access insights faster.
- Increase experimentation velocity in partnership with Product and Growth, while improving rigor and accuracy of results.
- Establish strong data governance, ensuring compliance with global privacy regulations (GDPR, CCPA, etc.).
- Hire, coach, and mentor data talent, growing the team while maintaining high standards for quality, accuracy, and reliability.
- Drive adoption of a data-first culture across the company through education, storytelling, and partnership.
Requirements
- Proven experience building and leading high-performing data and analytics teams at a scaled tech company.
- Deep understanding of modern data stacks and tools: e.g., BigQuery, Airflow, Mode, Amplitude, dbt, Looker, or similar.
- Strong technical foundation in SQL, and proficiency in Python or similar languages for analytics and modeling.
- Demonstrated success in using data to drive measurable improvements in product and growth KPIs.
- Strong knowledge of data governance, privacy, and compliance frameworks.
- Ability to translate complex data into clear insights and narratives for executive and cross-functional stakeholders.
- Strategic mindset with a willingness to dive into hands-on problem solving when needed.
- Excellent communication skills and experience influencing senior leaders and cross-functional partners.
- Nice to have: Experience in language learning, edtech, or other mobile consumer products.
- Nice to have: Experience building data functions across international markets.
- Nice to have: Exposure to ML/AI modeling for personalization or recommendation systems.
Benefits
- Join a fantastic, tight-knit team at the right time.
- Do your life's work with people you’ll love working with.
- Global in nature: We’re live in over 40 countries.
- Impact people's lives in a major way.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
EE
EEOCData Scientist
Data Scientist at Booz Allen using data science to solve global challenges through data insights. Collaborating with clients and leading algorithm development in a data - rich environment.
Staff Data Scientist building complex analytics models for underwriting and operations at Travelers Insurance. Collaborating with teams to enhance risk segmentation and streamline decision - making processes.
DSLDP Intern at Travelers developing data science solutions and collaborating with cross - function teams. Gain exposure through professional work experience and community outreach events.
BE
Broadcast | Agência EstadoSenior Product Analyst
Senior Product Analyst collaborating with teams to develop innovative products at Agência Estado. Key responsibilities include data analysis, market research, and facilitating product management processes.
SP
Salla E-Commerce PlatformSenior Data Scientist – Generative AI
Senior/Staff Data Scientist developing AI for commerce in the Middle East. Architecting systems for merchant and customer AI assistants and content generation.
FG
FUCHS GroupData Scientist
Data Scientist leveraging statistical methods and machine learning techniques at FUCHS. Focus on data analysis, modeling, and collaboration for data - driven solutions.
ST
Seagate TechnologyData Science Intern
Data Science Intern leveraging AI and ML technologies for product development at Seagate. Hands - on experience with data analysis, model development, and actionable insights generation.
Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
AM
AmoddexData Manager
Data Manager managing and analyzing company data at Amoddex, a consultancy for IT transformation projects. Ensuring data integrity and supporting strategic decision - making in a collaborative environment.