Data Scientist, Product, Health, Fitbit

WeAreTechWomen; United Kingdom; On-site; GBP 50,000 - 70,000; Full time

Job summary

A leading technology organization in the United Kingdom is seeking a Data Scientist to analyze data and provide insights that drive product decisions for their innovative AI-powered health solutions. The ideal candidate has extensive experience in statistical analysis, SQL, and Python, and will contribute to a team focused on enhancing user engagement and satisfaction. This role offers opportunities for career growth within a dynamic and inclusive environment.

Qualifications

• 5 years of experience with statistical data analysis and modeling.
• Experience in extracting and analyzing data with SQL.
• Familiarity with data engineering and ETL processes.

Responsibilities

• Drive analysis for an AI-powered personal health coach.
• Conduct data analysis to inform key product decisions.
• Develop and automate reports and dashboards.

Skills

Statistical data analysis

SQL programming

Python programming

Data visualization

Communication skills

Education

Bachelor's degree in a quantitative field

Tools

R

SAS

MATLAB

Job description

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 5 years of experience with statistical data analysis, modeling, experimentation, and solving product and business problems.
• Experience with programming in SQL and Python.
• Experience in extracting and analyzing sets of data with SQL and in designing Extract, Transform, and Load (ETL) flows.

Preferred qualifications:

• Experience working with statistical packages (e.g., Python, R, SAS, Stata, MATLAB, etc.).
  
• Experience in articulating product questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.
• Knowledge of solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
• Familiarity with data engineering (i.e., data pipelines, sourcing/validity of data, scalability).
• Ability to translate analysis results into business recommendations to executive stakeholders, with excellent written and verbal communication skills.
  

About the job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

Responsibilities

• Drive analysis to contribute to shaping the future of the new AI-powered personal health coach, built with Gemini and possessing expertise that adapts based on users personal health and wellness data.
• Drive analysis and experimentation for full funnel optimization, including attach rate, conversion rate and lifetime value, with a particular focus on growing the Fitbit subscription business.
• Inform key product decisions, focused on improving product usability, and users adoption, engagement, and satisfaction.
  
• Conduct data analysis to make business recommendations (e.g., cost-benefit, forecasting, impact analysis). Develop and automate reports and dashboards to provide insights at scale.
• Use causal inferential methods to quantify impact on product deliveries when experimentation is not available.
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.