Data Scientist, Optimization (SJ2023MM)
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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
Archer is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. We are designing, manufacturing, and operating an all-electric aircraft that can carry four passengers for 60 miles at speeds of up to 150 mph while producing minimal noise.
Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success. We are dedicated to cultivating an equitable and inclusive environment that embraces our differences, and supports and celebrates all of our team members.
What You’ll Do:
- Build optimization models and algorithms for eVTOL aircraft company for go-to market strategy.
- Apply ad hoc data analytics and present strategy findings.
- Conduct trade studies to determine vehicle requirements, recharging infrastructure, operations,
certification, and network development.
What You Need:
- Doctorate (Ph.D.) degree in Operations Research, Data Science or a related field
- 2 years of experience as an Operations Research Associate, Optimization Engineer or related.
- Experience to include a skill set in mathematical optimization, network design and simulation,
and data analytics insights. Python, Grobi and CPLEX.
- 5% domestic travel required.
Please apply online at: https://www.archer.com/. Must put job code (SJ2023MM) on resume/CV and cover letter.
At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $156,853 per year.
Archer is proud to be an Equal Opportunity employer committed to diversity and inclusivity in the workplace. All aspects of employment are decided on the basis of merit, qualifications, and business needs. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, national origin, disability status, protected veteran status, gender identity or any other characteristic protected by federal, state or local laws.
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