Location: Santa Monica, CA, Seattle, WA, or New York City, NY (Hybrid)
The Company
Metropolis develops advanced computer vision and machine learning technology that makes mobile commerce remarkable. Our platform is already deployed in hundreds of mobility facilities and industries with billions in opportunity. We're building the digital pipes through which the future of mobile commerce will move.
The Role
As a Senior Data Scientist, you will play a key role in data-driven decision-making across the organization by collaborating closely with product and engineering teams. You will leverage advanced analytics and machine learning techniques to extract insights and influence product strategy. The ideal candidate has a strong background in statistical analysis, experimentation methodologies, and machine learning coupled with excellent communication skills to effectively collaborate with cross-functional teams.
Responsibilities

• Analyze large-scale datasets to identify trends, patterns, and insights that inform product and engineering strategy and decision-making.
• Design and implement key metrics and statistical experiments to evaluate the impact of new products and feature enhancements.
• Prototype predictive models and algorithms to identify signals and accelerate data driven decisions.
• Communicate findings and recommendations to stakeholders through clear and compelling data visualizations, reports, and presentations.
• Collaborate with cross-functional product and engineering teams to define, influence, and support initiatives aligned with business goals.
• Stay updated with the latest advancements in data science, machine learning, and experimentation techniques, and explore innovative ways to apply them to product and engineering development.

Requirements and Qualifications

• Bachelor's degree or higher in Statistics, Mathematics, Computer Science, Engineering, or a related field. Masters or Ph.D. Degree preferred.
• 5 years of experience working as a data scientist, with a proven track record of delivering impactful data science solutions.
• Proficiency in programming languages such as Python or R, along with experience using libraries and frameworks for data manipulation, analysis, and modeling (e.g., pandas, ggplot, scikit-learn).
• Proficiency in SQL and understanding of OLTP/OLAP databases.
• Strong understanding of statistical analysis, hypothesis testing, and experimental design principles, with experience conducting A/B tests and analyzing experimental data.
• Experience working with large-scale datasets and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Excellent communication skills with the ability to translate complex technical concepts into actionable insights for non-technical stakeholders.
• Proven ability to work effectively in a collaborative, cross-functional environment, with a demonstrated track record of building successful partnerships with product and engineering teams.
• Strong problem-solving skills and a passion for leveraging data to drive business impact and improve user experiences.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to 190,000.00. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.