Data Scientist, Analytics - Safety

Key Skills

A/B Testing, Data science techniques, Data Visualization, ETL frameworks, Java Programming, Machine learning techniques, Python Programming, R Programming, SQL

Job Description

Are you interested in driving business and product strategy? What about using data to answer difficult questions and come up with interesting insights? If so, then this is the job for you. You'll get to use your quantitative skill set, obsession and empathy towards customers and collaborative spirit to work closely with Product, Ops, Engineering, and Applied Scientists to provide data driven insights to find new opportunities to take our products to the next level.

As a Data Scientist - Analytics, you'll focus on:

• The analysis, manipulation, and visualization of data
• Some data engineering/ETL (extract-transform-load) work
• Provide product or business insights and strategy

We've noticed that the title Data Scientist represents a variety of work across the industry. If you're more passionate about building machine learning (ML) or econometric models, please check out the Applied Scientist roles on our career page!

About the Team

Incident Data Science:

We are a trusted resource to enrich, monitor, investigate, advise, and report safety incident data to empower partner teams to take smart, targeted actions which reduce safety incidents. Our solid incident data foundation fuels data for new safety products and public reports such as

What You'll Do

• Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business
• Design experiments and interpret the results to draw detailed and impactful conclusions.
• Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing
• Collaborate with applied scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
• Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.

Basic Qualifications

• M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 1+ years of industry experience required and if Bachelor's degree, a minimum of 2+ years of industry experience as a Data Scientist or equivalent)
• Experience in at least one scripting language (SQL, Python, or R preferred)
• Basic understanding of experimental design (such as A/B experiments) and statistical methods
• Willingness to get your hands dirty with messy data to identify product opportunities and uncover interesting product insights

Preferred Qualifications

• Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
• 3+ years industry experience in consumer facing data science
• Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
• Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
• Strong judgment, critical-thinking, and decision-making skills
• Ability to solve complex business problems that cross multiple product/project areas and teams
• Balance attention to detail with swift execution