Data Scientist III - Carrier Fraud at Uber Freight

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

151000.0

Posted On

01 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Airflow, Spark, Experiment Design, Statistical Analysis, Data Analysis, A/B Testing, Fraud Detection, Marketplace Analytics

Industry

Logistics;Transportation;Supply Chain and Storage

Description

Schedule: Full Time Employment Job Type: Hybrid Salary Type: Salary Req #: 2124 About the Role We are seeking an exceptionally passionate person to join our Marketplace Data Science team. As a Data Scientist focused on Carrier Fraud, you will be driving the development and evaluation of metrics, products and models to minimize fraud within Uber Freight’s digital marketplace. You will need to collaborate effectively with product managers, engineers, operations, and business stakeholders, and other members of the Data Science team to solve problems, create efficiencies, and successfully deliver against high organizational standards. What the Candidate Will Do Perform data analysis to investigate patterns underlying fraud incidents Perform statistical analysis to estimate the impact of new fraud prevention techniques before deployment Design, execute and analyze A/B and marketplace experiments in order to directly measure the business impact of new fraud prevention products on a variety of metrics Work efficiently at scale with large data sets Collaborate with cross-functional teams such as product, engineering, and operations to drive system development end-to-end from conceptualization to productization Basic Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics 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 Experience with orchestration tools (e.g., Airflow) Experience with Spark Advanced knowledge of experiment design and statistical methods Strong presentation skills Experience working in a digital marketplace and/or fraud domain 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 Chicago-based roles: The salary range for this role is $99,000.00 - $151,000.00 per year

How To Apply:

Incase you would like to apply to this job directly from the source, please click here

Responsibilities

Develop and evaluate metrics and models to minimize carrier fraud within the digital marketplace. Collaborate with cross-functional teams to drive fraud prevention products from conceptualization to productization.