Head of Data Science, LearnX
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
- 7 years of experience with statistical data analysis, and managing analytical projects.
- 7 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 7 years of work experience with a PhD degree.
- 3 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
- Experience in supervising junior to senior team members on challenging data science projects.
- Experience in scientific methodologies, data analysis, and experimental design.
- Experience in extracting large sets of data and design of ETL flows.
- Ability to think strategically, analyze complex problems, and develop data-driven solutions.
- Excellent leadership skills, with the ability to inspire and mentor Data Science teams.
- Excellent verbal and written communication skills, with the ability to articulate complex concepts to both technical and non-technical stakeholders.
About the job
The goal of the team is to increase LearnX impact and effectiveness by leveraging Data Science to drive key insights to influence strategy and product decision making.
As a Head of Data Science, you will play a pivotal role in identifying/prioritizing key problems, developing/analyzing key metrics, and innovating on new methodologies/tools to match the accelerating pace of innovation. This role requires a blend of technical expertise, strategic thinking, and team leadership.
Responsibilities
- Provide thought-leadership through proactive and strategic contributions. Influence stakeholders through effective presentations and written communication.
- Partner with cross-functional stakeholders to influence, refine, and support product strategy and fast iteration cycles. Analyze and optimize metrics to drive actionable insights and improve decision-making processes.
- Develop, identify, and drive adoption of best practices across Product Data Science teams. Build metrics and data quality strategy and process to ensure we have the data needed to evaluate our products.
- Partner with the pedagogy and User Research teams to identify/validate key user behaviors. Lead a team across multiple offices and time zones and a range of levels.
- Attract, retain, and develop talent in data science. Provide mentorship, guidance, and professional development opportunities to team members.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.