- Design, develop and deploy machine learning models in the economics space
- Design experiment design and analysis
- Work with the backend team to make data science insights available via internal APIs
- Collaborate with the founders to define and prioritize features on our product roadmap
- Manage and maintain databases and servers
- Maintain technical documentation for the codebase
- Experience working with ML lifecycle from R&D to model deployment
- Experience with exploratory data analysis, statistical analysis and testing, and model development
- Experience with experimental design and analysis
- Ability to extract data with SQL queries and Python
- Excitement to work in-person with the founders in SF 5 days/week
- Ph.D., M.S. or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
- 1+ years experience (if M.S. or P.H.D), 3+ years industry experience (if Bachelor's degree)
- Experience with cloud computing platforms such as AWS or Google Cloud
- Experience with causal inference models is a bonus
- Backend: Python, Node
- Frontend: Typescript, React
- Infra: Postgres, AWS EC2
- 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.
- Compensation: generous equity allocation as a founding employee of our company
- Snacks: coffee and snacks (healthy and not-so-much) in the workplace
- Healthcare : excellent company-provided healthcare plan with several coverage options
- Gym : monthly fitness stipend
- Workspace: stipend for work equipment
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Founding Data Scientist/ Machine Learning Engineer - San Francisco, CA, United States - 界慣
Description
[Full Time] Founding Data Scientist/ Machine Learning Engineer at Luca (United States) | BEAMSTART Jobs
Founding Data Scientist/ Machine Learning Engineer
Luca United States
Date Posted
20 Apr, 2023
Work Location
San Francisco, United States
Salary Offered
$110000 — $170000 yearly
Job Type
Full Time
Experience Required
3+ years
Remote Work
No
Stock Options
Yes
Vacancies
1 available
We 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:
Required Qualifications
Preferred Qualifications
Our Technical Stack
About Us Our Team
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
Our Benefits
About Luca The Pricing Co-Pilot for Enterprise Retailers
Company Size: 1 - 5 People Year Founded: 2022 Country: United States Company Status: Actively Hiring Looking for Partners Looking for Clients Raising FundsShare This Job More Full Time Jobs Associate Director/Associate Principal Scientist, Biology
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