Lyft is seeking a Data Scientist in Seattle for a hybrid role. You will partner with engineers, product managers, and business partners to frame problems both mathematically and within the business context. You will perform exploratory data analysis to gain a deeper understanding of the problem, construct and fit statistical, machine learning, or optimization models, and write production modeling code. Collaborate with software engineers to implement algorithms in production, design and run both simulated and live traffic experiments, analyze experimental and observational data, communicate findings, and facilitate launch decisions. Qualifications include a Master’s degree or foreign equivalent in mathematics, statistics, economics, or a related field, and at least two years of experience in data science, operations research, or related roles. You should have experience solving unstructured problems and end-to-end data workflows including querying, aggregation, analysis, and visualization, and proficiency with Python and other programming languages such as R and MATLAB. Benefits include comprehensive medical, dental, and vision insurance, mental health benefits, family-building, childcare and pet benefits, a 401(k) plan, paid time off, and 18 weeks of paid parental leave. Lyft values in-office collaboration and this role will be in-office on a hybrid schedule; team members are expected to work in the office three days per week (Monday, Wednesday, Thursday). The hybrid policy also allows remote work for up to four weeks per year. The expected base pay range for this position

Lyft is seeking a Data Scientist in Seattle for a hybrid role. You will partner with engineers, product managers, and business partners to frame problems both mathematically and within the business context. You will perform exploratory data analysis to gain a deeper understanding of the problem, construct and fit statistical, machine learning, or optimization models, and write production modeling code. Collaborate with software engineers to implement algorithms in production, design and run both simulated and live traffic experiments, analyze experimental and observational data, communicate findings, and facilitate launch decisions. Qualifications include a Master’s degree or foreign equivalent in mathematics, statistics, economics, or a related field, and at least two years of experience in data science, operations research, or related roles. You should have experience solving unstructured problems and end-to-end data workflows including querying, aggregation, analysis, and visualization, and proficiency with Python and other programming languages such as R and MATLAB. Benefits include comprehensive medical, dental, and vision insurance, mental health benefits, family-building, childcare and pet benefits, a 401(k) plan, paid time off, and 18 weeks of paid parental leave. Lyft values in-office collaboration and this role will be in-office on a hybrid schedule; team members are expected to work in the office three days per week (Monday, Wednesday, Thursday). The hybrid policy also allows remote work for up to four weeks per year. The expected base pay range for this position