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information, please see:
https://illinoisjoblink.illinois.gov/jobs/13052734 Schedule: Full Time
Employment
Job Type: Hybrid
Salary Type: Salary
Req #:1756
About the Role
As an Applied Scientist III at Uber Freight, you will develop and
implement advanced machine learning, statistical, economic, and
optimization approaches to solve complex business problems and improve
performance. You will apply modeling skills and data-driven methods to
enhance our core product experience and top line business metrics.
You'll collaborate closely with Product, Operations, and Engineering
teams to turn insights into impact.
What the Candidate Will Do
- Develop creative solutions and build prototypes to business problems
using algorithms based on machine learning, causal inference,
statistics, and optimization.
- Collaborate with engineering and product teams to productionize
these solutions and create a lasting impact.
- Drive clarity and solve ambiguous, challenging business problems
using data-driven approaches, with an emphasis on understanding
causal relationships when applicable.
- Propose and guide robust frameworks of data analysis to drive
business insights and inform decision-making.
- Contribute to establishing standard methodologies for data science,
including modeling, coding, analytics, and experimentation.
- Leverage data to understand product performance and identify
improvement opportunities, including analyzing potential causal
factors.
- Design product experiments and interpret results to draw detailed
and impactful conclusions.
- Communicate findings and insights to senior management and
cross-functional teams.
- Provide recommendations to assist quick product ideation and feature
launch decisions.
- Build intelligent data-driven products to provide the best user
experience.
Basic Qualifications
- Bachelor's degree in Statistics, Machine Learning, Operations
Research, Economics, Computer Science, or another related field
- 3 years of related experience
- Demonstrated proficiency in programming languages like Python or R
for purposes of model development and analysis
- Proficiency in SQL for data manipulation and analysis
- Proficiency in building and managing data pipelines for purposes of
model development or analysis
- Proficiency in designing, launching, and analyzing A/B tests or
other types of online experiments
Preferred Qualifications
- Master's or Ph.D. in Statistics, Machine Learning, Operations
Research, Economics, Computer Science, or a related field
- Strong knowledge of experimental design and analysis
- Expertise in observational causal inference or statistical analysis
- Ability to use a programming language like Python or R to work
efficiently at scale with large data sets
- Proficiency in Spark for data manipulation and analysis at scale
- Experience working on fraud, recommendation or dynamic pricing
algorithms in a production environment
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 is a market-leading enterprise technology company powering
intelligent logistics. With a suite of end-to-end logistics
applications, managed services and an expansive carrier network, Uber
F eight advances supply chains and moves the world's goods. Today, the
company manages nearly $20B of freight and one of the largest networks
of carriers. It is backed by best-in-class investors and provides
services for 1 in 3 Fortune 500 companies, including Del Monte Foods,
Nestle, Anheuser-Busch InBev, and more. For more, visit
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.
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