界慣
Founding Data Scientist/ Machine Learning Engineer
界慣, San Francisco, California, United States, 94199
Founding Data Scientist/ Machine Learning EngineerLuca, United StatesDate Posted: 20 Apr, 2023Work Location: San Francisco, United StatesSalary Offered: $110,000 — $170,000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: NoStock Options: YesVacancies: 1 availableWe are looking for a data scientist to build data science and machine learning solutions for our clients’ complex and real-world problems. You will work directly with the founders, engineering team, and a set of economist advisors.Responsibilities:
Design, develop and deploy machine learning models in the economics spaceDesign experiment design and analysisWork with the backend team to make data science insights available via internal APIsCollaborate with the founders to define and prioritize features on our product roadmapManage and maintain databases and serversMaintain technical documentation for the codebaseRequired Qualifications:
Experience working with ML lifecycle from R&D to model deploymentExperience with exploratory data analysis, statistical analysis and testing, and model developmentExperience with experimental design and analysisAbility to extract data with SQL queries and PythonExcitement to work in-person with the founders in SF 5 days/weekPreferred Qualifications:
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.1+ years experience (if M.S. or Ph.D), 3+ years industry experience (if Bachelor’s degree)Experience with cloud computing platforms such as AWS or Google CloudExperience with causal inference models is a bonusOur Technical Stack:
Backend: Python, NodeFrontend: Typescript, ReactInfra: Postgres, AWS EC2About Us:
We are building the pricing co-pilot for retailers and ecommerce. We are an ex-Uber team that previously built the pricing algorithms for Uber Pool and Uber Eats Consumer, which collectively created $1 billion of profits for Uber. We’re a seed-stage company backed by amazing investors led by Menlo Ventures and Y Combinator.Pricing is just the beginning of our journey to build the revenue optimization engine for retail. Come join us on the ground floor!Our Values:
Ambition:
You want to work at a fast-paced and intense company looking to build a great business. You seek out opportunities to grow and gain new skills.Ownership:
If something is broken, you will raise your hand and fix it. If something needs a process, you will proactively create one.Slope > Intercept:
You may not know the answer, but you will figure it out by reading up or proactively asking a friend/mentor. You are comfortable with saying 'I don’t know but I will get back to you' and you do.Passionate:
You have informed perspectives and you have no qualms about expressing them constructively. You are also open to being wrong and adjusting your opinions.Kindness:
You work collaboratively, help your teammates and care about the culture of the team you are helping build.Our Benefits:
Compensation:
generous equity allocation as a founding employee of our companySnacks:
coffee and snacks (healthy and not-so-much) in the workplaceHealthcare:
excellent company-provided healthcare plan with several coverage optionsGym:
monthly fitness stipendWorkspace:
stipend for work equipmentAbout Luca:
Company Size:
1 - 5 PeopleYear Founded:
2022Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr
Design, develop and deploy machine learning models in the economics spaceDesign experiment design and analysisWork with the backend team to make data science insights available via internal APIsCollaborate with the founders to define and prioritize features on our product roadmapManage and maintain databases and serversMaintain technical documentation for the codebaseRequired Qualifications:
Experience working with ML lifecycle from R&D to model deploymentExperience with exploratory data analysis, statistical analysis and testing, and model developmentExperience with experimental design and analysisAbility to extract data with SQL queries and PythonExcitement to work in-person with the founders in SF 5 days/weekPreferred Qualifications:
Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.1+ years experience (if M.S. or Ph.D), 3+ years industry experience (if Bachelor’s degree)Experience with cloud computing platforms such as AWS or Google CloudExperience with causal inference models is a bonusOur Technical Stack:
Backend: Python, NodeFrontend: Typescript, ReactInfra: Postgres, AWS EC2About Us:
We are building the pricing co-pilot for retailers and ecommerce. We are an ex-Uber team that previously built the pricing algorithms for Uber Pool and Uber Eats Consumer, which collectively created $1 billion of profits for Uber. We’re a seed-stage company backed by amazing investors led by Menlo Ventures and Y Combinator.Pricing is just the beginning of our journey to build the revenue optimization engine for retail. Come join us on the ground floor!Our Values:
Ambition:
You want to work at a fast-paced and intense company looking to build a great business. You seek out opportunities to grow and gain new skills.Ownership:
If something is broken, you will raise your hand and fix it. If something needs a process, you will proactively create one.Slope > Intercept:
You may not know the answer, but you will figure it out by reading up or proactively asking a friend/mentor. You are comfortable with saying 'I don’t know but I will get back to you' and you do.Passionate:
You have informed perspectives and you have no qualms about expressing them constructively. You are also open to being wrong and adjusting your opinions.Kindness:
You work collaboratively, help your teammates and care about the culture of the team you are helping build.Our Benefits:
Compensation:
generous equity allocation as a founding employee of our companySnacks:
coffee and snacks (healthy and not-so-much) in the workplaceHealthcare:
excellent company-provided healthcare plan with several coverage optionsGym:
monthly fitness stipendWorkspace:
stipend for work equipmentAbout Luca:
Company Size:
1 - 5 PeopleYear Founded:
2022Country:
United StatesCompany Status:
Actively Hiring
#J-18808-Ljbffr