Uber

Staff Applied Scientist, Ads Delivery

Uber

New York, NY, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Uber's Ads Delivery team! We are seeking a talented Staff Applied Scientist to join our dynamic and innovative team. As a Staff Applied Scientist, you will play a crucial role in developing and implementing cutting-edge algorithms and models to optimize the delivery of ads on the Uber platform. This is an exciting opportunity to work in a fast-paced environment and make a significant impact on the company's revenue. We are looking for a highly motivated individual with a strong background in machine learning, data analysis, and computer science. If you are passionate about solving complex problems and driving business growth through data-driven insights, we would love to hear from you!

  1. Develop and implement advanced algorithms and models to optimize ad delivery on the Uber platform.
  2. Utilize expertise in machine learning, data analysis, and computer science to improve ad delivery performance.
  3. Collaborate with cross-functional teams to understand business needs and develop data-driven solutions.
  4. Conduct thorough analysis of data to identify patterns and trends that can inform ad delivery strategies.
  5. Stay up-to-date on industry trends and advancements in machine learning and data science to continuously improve ad delivery methods.
  6. Communicate findings and recommendations to key stakeholders, including senior leadership, to drive business growth.
  7. Mentor and guide junior team members in developing their skills and knowledge in applied science.
  8. Participate in research and development projects to explore new techniques and technologies for ad delivery.
  9. Work closely with product and engineering teams to implement algorithms and models into the ad delivery system.
  10. Continuously monitor ad delivery performance and make adjustments as needed to improve results.
Where is this job?
This job is located at New York, NY, USA
Job Qualifications
  • Advanced Degree In Computer Science, Statistics, Mathematics, Or A Related Field.

  • Extensive Experience In Developing And Deploying Machine Learning Models For Large-Scale Systems.

  • Strong Understanding Of Online Advertising And Ad Delivery Systems.

  • Proficient In Programming Languages Such As Python, Java, And C++.

  • Excellent Data Analysis And Problem-Solving Skills.

Required Skills
  • Data Analysis

  • Machine Learning

  • A/B testing

  • Data Visualization

  • Experimental design

  • Natural language processing

  • Statistical modeling

  • Big data processing

  • Predictive modeling

  • Optimization techniques

  • Time series analysis

Soft Skills
  • Communication

  • Conflict Resolution

  • Emotional Intelligence

  • Leadership

  • Time management

  • creativity

  • Critical thinking

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Staff Applied Scientist, Ads Delivery in New York, NY, USA is $100,000 to $150,000 per year. This can vary depending on the specific company, experience level, and other factors. Additionally, bonuses and other benefits may also be included in the overall compensation package.

Additional Information
Uber is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 26th, 2024
Apply BeforeApril 11th, 2026
This job posting is from a verified source. 
Reposted

Apply with Video Cover Letter Add a warm greeting to your application and stand out!

About Uber

Uber Technologies, Inc. is an American multinational transportation network company offering services that include peer-to-peer ridesharing, ride service hailing, food delivery, and a bicycle-sharing system. The company is based in San Francisco and has operations in over 785 metropolitan areas worldwide.

Frequently asked questions

Get interviewed today!

JobzMall is the world‘ s largest video talent marketplace.It‘s ultrafast, fun, and human.

Get Started