Data Scientist - Optimization Specialty

Data Science San Francisco, California


Description

Data Scientist - Optimization

Location: San Francisco, CA

About Kelvin

For Kelvin, the goal is control. Our team has a diversity of academic and industry experience. We thrive on hard problems in the physical world. Our products are revolutionizing industrial control and enabling machines to begin thinking for themselves. We are committed to delivering the next generation of intelligent control. As a member of our team, you will have the opportunity to solve interesting challenges on a daily basis. You will contribute in a significant way to the future of the Kelvin products and their strategic development. Technicians, engineers, and industrial managers around the world rely on our products every day to control complex systems. 

Role & Responsibilities

As a Data Scientist at Kelvin you’ll be part of a small and impactful team as you help us evolve the next generation of control. In your role you’ll be focused on applying optimization to industrial control. You’ll apply both classical and probabilistic methods to inform control strategies for individual machines as well as groups and networks of machines. You’ll work with controls specialists, subject matter experts, data scientists, and automation engineers to develop and implement intelligent industrial control. Your scope will also include developing algorithms that learn and adapt over time to maintain machine performance over time.

You’ll Fit Right In If...

        You love data and learning about industrial systems

        You get great satisfaction from improving efficiency and optimizing processes

        You thrive in a fast-paced technical environment

        You operate best in a close-knit, high performing team

        You are at ease when interfacing with people with a wide range of technical backgrounds

        You enjoy complex problems and breaking them down into solvable subcomponents

        You seek a role that requires you to learn constantly

        You value a workplace where honest, sincere, respectful communication is the norm

 

Requirements

        MS or PhD in engineering, science, or math field related to mathematical optimization

        Industry work experience: MS + 4 years or PhD + 2 years

        Mastery of scientific method

        Strong programming skills, especially in Python

        Deep experience using mathematical optimization (LP, IP, NLP, Mixed-Integer, convex optimization)

        Exposure to Active Learning + Bayesian Optimization

        Experience solving problems with numerical methods

        Experience with controls theory or stability is a plus

        Experience working with Machine Learning pipelines is a plus

        Experience with statistics, design of experiment, response surface methodology is a plus

        Detail-oriented work habits

        Excellent communication skills

Benefits

Kelvin believes in putting its employees first. We offer a generous compensation package that includes medical, dental, vision, FSA, unlimited PTO and 401(k) benefits and a match. We are also located in a transit and culture rich location in San Francisco in the Mission district.

Equal Opportunity employer

Kelvin is deeply committed to building a diverse and inclusive team. We believe that different backgrounds and life experiences make our team better. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.