Senior Data Scientist at Unreal Gigs
San Francisco, CA
About the Job
DescriptionThe RoleWe are seeking a Senior Data Scientist to join us as one of the founding members of our team, focusing on developing innovative machine learning solutions to solve complex real-world problems for our clients.In this position, you will collaborate closely with the founders, engineering team, and clients to architect and implement end-to-end solutions
We're looking for someone who excels in both theoretical data science and practical engineering, capable of producing high-quality code for deployment in production environments.As a "full stack" data scientist, your responsibilities will include:Understanding and processing customer data through the development of ingestion and ETL pipelines.Utilizing this data to conceive, develop, and deploy cutting-edge machine learning models for pricing and optimization.Conducting experiments to evaluate the effectiveness of pricing and promotional strategies.Working closely with the founders to shape and prioritize our product roadmap, emphasizing the future of data science.Serving as an internal and external authority on pricing data science.We welcome candidates who are confident in their ability to fulfill these responsibilities and are eager to collaborate in-person with our founders in San Francisco
Familiarity with AWS technologies (such as EC2, S3, Lambda, ECS, etc.) is advantageous, as our tech stack is built on AWS.RequirementsRequired Qualifications4+ years of experience with an M.S
or Ph.D., or 6+ years of industry experience with a Bachelor’s degreeDegree in Computer Science, Statistics, Economics, Machine Learning, or related quantitative fieldsWillingness to work in-person in San FranciscoPreferred Qualifications (Not Required)Experience in Revenue Management and PricingExpertise in Operations Management and Supply Chain ManagementBackground in ForecastingFamiliarity with Consumer Choice ModellingOur Technical StackBackend: TypescriptFrontend: Typescript, ReactInfrastructure: Postgres, VercelData Science: PythonBenefitsCompetitive salary and equity packageComprehensive health, dental, and vision insurance plansUnlimited PTO and flexible work hoursOpportunities for professional development and growthCollaborative and inclusive work environmentRegular team-building events and company retreats
We're looking for someone who excels in both theoretical data science and practical engineering, capable of producing high-quality code for deployment in production environments.As a "full stack" data scientist, your responsibilities will include:Understanding and processing customer data through the development of ingestion and ETL pipelines.Utilizing this data to conceive, develop, and deploy cutting-edge machine learning models for pricing and optimization.Conducting experiments to evaluate the effectiveness of pricing and promotional strategies.Working closely with the founders to shape and prioritize our product roadmap, emphasizing the future of data science.Serving as an internal and external authority on pricing data science.We welcome candidates who are confident in their ability to fulfill these responsibilities and are eager to collaborate in-person with our founders in San Francisco
Familiarity with AWS technologies (such as EC2, S3, Lambda, ECS, etc.) is advantageous, as our tech stack is built on AWS.RequirementsRequired Qualifications4+ years of experience with an M.S
or Ph.D., or 6+ years of industry experience with a Bachelor’s degreeDegree in Computer Science, Statistics, Economics, Machine Learning, or related quantitative fieldsWillingness to work in-person in San FranciscoPreferred Qualifications (Not Required)Experience in Revenue Management and PricingExpertise in Operations Management and Supply Chain ManagementBackground in ForecastingFamiliarity with Consumer Choice ModellingOur Technical StackBackend: TypescriptFrontend: Typescript, ReactInfrastructure: Postgres, VercelData Science: PythonBenefitsCompetitive salary and equity packageComprehensive health, dental, and vision insurance plansUnlimited PTO and flexible work hoursOpportunities for professional development and growthCollaborative and inclusive work environmentRegular team-building events and company retreats
