Data Scientist III

Reposted 10 Days Ago
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94158, San Francisco, CA
In-Office
113K-138K Annually
Mid level
Logistics • Transportation
The Role
The Data Scientist will drive analytics solutions using statistical and machine learning techniques, collaborating cross-functionally to enhance operational efficiencies.
Summary Generated by Built In
Schedule: Full Time Employment
Job Type: Hybrid
Salary Type: Salary
Req #:1917

About the Role

We are seeking an exceptionally passionate person to join our Data Science teams and contribute to a long-term roadmap for analytic capabilities. As a Data Scientist, you will be driving the analytics roadmap and will provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as using statistical and machine learning techniques for segmentation and prediction. You will need to collaborate effectively with internal customers, cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards.


What the Candidate Will Do

  • Perform exploratory data analysis, statistical analysis, and machine learning model development in a production environment
  • Work efficiently at scale with large data sets 
  • Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive system development end-to-end from conceptualization to productization
  • Provide descriptive and predictive solutions to the marketing and product management team through a combination of data mining techniques as well as using statistical and machine learning techniques for segmentation and prediction

Basic Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, or related field
  • 3 years of related experience
  • Experience with SQL, Python

Preferred Qualifications

  • Masters with 3 years of experience or Bachelors with 5 years of relevant experience
  • Knowledge of R or Java
  • Advanced knowledge of experiment design and statistical methods 
  • Strong presentation skills

Benefits & Compensation for U.S. Employees

Employees working more than 30 hours in the US at Uber Freight are eligible for benefits like a company sponsored health plan, dental and vision benefits, 401k match, financial and mental wellness benefits, parental leave, short- and long-term disability coverage, life insurance and more.  US based employees may also be eligible for a performance or sales incentive bonus program, participation in Uber Freight equity awards, and other types of compensation depending upon the role.


About Uber Freight 

Uber Freight helps companies move goods more reliably and efficiently. We bring together the technology, people, and transportation capacity they need, using real‑time data from millions of shipments to guide smarter decisions. That helps customers spot issues early, avoid costly surprises, and deliver on time. Uber Freight works with 1 in 3 Fortune 500 shippers across North America and manages over $17B in freight. Learn more at www.uberfreight.com.


Candidate Privacy Notice

Uber Freight is committed to protecting the privacy of our candidates. We collect and process personal data in accordance with applicable data protection laws. For detailed information on how we handle candidate data, please review our Candidate Privacy Notice.


EEOC

Uber Freight is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regards to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 


For California-based roles: The salary range for this role is $113,000.00 - $138,000.00 per year

Top Skills

Java
Python
R
SQL
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The Company
Chicago, , Illinois
5,622 Employees

What We Do

Powering Intelligent Logistics

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