What you'll be doing

Design and analyze experiments and causal analysis to deliver impactful product changes, focusing on the Mobile team.
Proactively conduct analyses and develop data-driven narratives that shape product strategy and influence business and roadmap decisions.
Define and add new metrics to track enterprise product success, aggregating and publishing them to the data warehouse for proactive inquiry.
Build dashboards to highlight potential impacts and identify opportunities.
Communicate effectively and present findings to both technical and non-technical audiences.
Establish the Data Science presence in a new office and provide mentorship as the team grows.

Requirements

Bachelor’s degree in Math, Statistics, Economics, Computer Science, Engineering, or a related quantitative field, or equivalent experience.
7+ years of experience applying data science techniques to drive product development and decision-making.
Strong technical background in statistics, mathematics, computer science, information science, or a related quantitative discipline.
Fluency in at least one programming language for data processing (e.g., Python, R), relational data modeling, and SQL; familiarity with distributed data processing systems such as Spark or Redshift.
Expertise in statistical methods, experimental design, and analysis.
Experience with advanced statistical modeling (e.g., GLM, mixed effects) and/or machine learning.
Excellent written and verbal communication skills.
Ability to collaborate effectively with peers and leadership across data science, design, and engineering teams.
Demonstrated curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to improve productivity and decision-making.

Generous, transparent, and fair compensation system.
Contract of Employment with the option for 50% tax deductible costs for author’s rights usage in applicable roles.
Health insurance including dental and travel coverage (Lux Med).
Lunch catering on days worked from the office.
Career growth budget.
Home office setup budget.
Gym/Fitness reimbursement.
Fertility healthcare and family-forming support.
Mental health support through Modern Health.
Group life insurance.
MacBooks with necessary accessories provided.