Senior Data Scientist

Remote (US)

Applications have closed

Onfleet

Onfleet makes it easy to manage last mile deliveries. Intuitive routing, dispatching, real-time tracking, analytics, and more.

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Onfleet’s mission is to power the future of commerce by enabling businesses of all sizes to move goods more efficiently and delightfully. Our product includes intuitive smartphone apps for drivers, a powerful modern web dashboard for dispatchers, and automatic notifications and real-time tracking for recipients. Onfleet powers millions of deliveries every month, for thousands of businesses around the world across a range of industries from grocery and prepared meals to pharmacy, flowers, and furniture.

As we continue to grow our talented team, we remain committed to radical transparency, integrity, and individual growth. We believe that your unique background and experience adds tremendous value to the organization and will empower you to take absolute ownership of business challenges and the execution of solutions. 

**Note: This is a telecommuting position from anywhere in the U.S. (remote work). HQ is in San Francisco, CA.

Pay Range: $126,277 - $171,675.

Requires a Master’s degree in Computer Science, Engineering, or a related field; plus 1 year in the job offered, as a Data Scientist, or in the data analytics field. Requires 1 year of experience with ETL, geospatial analysis, and using Python, Tensor-Flow, Keras, GIS.

Applicants must email cover letter and resume to Onfleet attn.: Hiring, careers@onfleet.com. Must reference Job ID: AH01.

What You’ll Do:

  • Take ownership of data-focused projects and see them through to production and beyond
  • Initiate projects that improve our data engineering and data-related features, encouraging best practices and interdisciplinary collaboration
  • Develop and improve the clustering method and Tensor-Flow based Deep Learning Model for Service-Time and Duration Estimation for our products
  • Geospatial analysis for route optimization
  • Maintain and retrain ML models in products
  • Implement AI for customer success team to apply new methods in predicting customers’ needs in advance
  • Predictive analysis for sales team to find potential customers

What We Offer 

  • Generous employee stock options
  • Comprehensive health, dental, vision, disability, and life insurance
  • Fitness stipend
  • Flexible vacation policy
  • 401K 
  • 1% annual revenue share (offered on all non-commission roles)
  • Commuter Benefits
  • Annual learning & development stipend
  • Annual volunteer & giving stipend
  • Apple MacBook Pro (or equivalent)
  • Centrally located SF office on 3rd & Market for those that are comfortable going into an office

Onfleet achieved profitability mid-2018, and has raised $20m in funding from investors like Kennet Partners, StartX-Stanford Fund, Tuesday.vc, Winklevoss Capital, Playfair Capital, and SGH Capital, as well as executives from Google, Facebook, and Uber.. Our team is headquartered in San Francisco, but we have team members located in 12 countries.

 

Onfleet is an Equal Opportunity Employer

Onfleet’s culture is one that strongly values diversity in its workplace and we are committed to working with potential team members who can bring diverse perspectives and experience to our company and culture. 

We do not make hiring or employment decisions on the basis of race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law.

We highly encourage members of underrepresented groups to apply and we will consider qualified applicants with arrest and conviction records.

Tags: Clustering Computer Science Data Analytics Deep Learning Engineering ETL Keras Machine Learning ML models Python

Perks/benefits: Career development Equity Flex hours Flex vacation Gear Health care Home office stipend Insurance Transparency

Region: Remote/Anywhere
Job stats:  18  7  1
Category: Data Science Jobs

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