Senior Data Scientist

San Francisco

Applications have closed

Harness

Harness is a modern software delivery platform that allows engineers and DevOps to build, test, deploy, and verify software, on-demand.

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Harness is a rapidly growing startup that is disrupting the software delivery market. We are building an intelligent software delivery platform that enables engineers to deliver software faster, with higher quality, and less effort. The Harness Software Delivery Platform includes Continuous Integration, Continuous Delivery, Continuous Efficiency, Continuous Verification, and Continuous Features. The platform is designed to help companies accelerate their cloud initiatives as well as their adoption of containers and orchestration tools like Kubernetes and Amazon ECS. 
Harness recently raised $115 million in financing, reaching a valuation of $1.7 billion in just three years after launching from stealth. With a total of $195 million in financing to date, Harness investors include IVP, Menlo Ventures, Unusual Ventures, Alkeon Capital, Battery Ventures, Citi Ventures, Norwest Venture Partners, Sorenson Capital, and Thomvest Ventures.
Position Summary 
This is a great opportunity to be an early Data scientist in a high-growth startup. You will work with a small team of data scientists and engineers in a very high-impact role.  You will  be responsible for designing and driving end to end ML projects at Harness. You will work with a blended team of engineers and data science professionals. You will apply your expertise to build packaged and shipped products in the space of software delivery. 
Harness is a remote first company

About the role

  • Collaborate with different teams to implement custom ML models and algorithms to apply to different datasets.
  • Work on complex problems with an emphasis on product development.
  • Work with engineers and back-end software to deploy and maintain ML models in a production environment

About you

  • 3+ years of professional experience in applying machine learning algorithms too drive technical product development
  • Strong technical background in computer science, math, and machine learning. 
  • Expertise building ML models using python. 
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields
  • Excellent verbal and written communication

What you will have at Harness

  • Experience building a transformative product
  • Competitive salary and early-stage stock options
  • Flexible work schedule
  • Monthly, quarterly, and annual social and team building events
  • TGIF-Off program (one Friday / month - company shutdown)
  • Remote office stipend
  • Monthly internet reimbursement
  • Monthly Food & Beverage Reimbursement Program

Harness in the News

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science ECS Engineering Kubernetes Machine Learning ML models PhD Python Statistics

Perks/benefits: Career development Competitive pay Equity Flex hours Startup environment Team events

Region: North America
Country: United States
Job stats:  6  0  0
Category: Data Science Jobs

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