Data Scientist II - Core Analytics
- Uber
- 2 - 5 years
- Bengaluru
- 3 years ago
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Job Description
The Core Analytics Science Team (CAS) is Ubers most extensive data science organisation, covering both of Ubers main lines of business as well as the underlying platform technologies that power those businesses. We are a vital part of Ubers cross-functional product development teams, helping to drive every stage of product development through data analytics, statistical, and algorithmic expertise.The team at Bangalore, India, will host an entrepreneurial attitude that will focus on the rapid experimentation of ideas to expand the product portfolio for Uber. This team is regarded as one of the top-performing DS teams across Uber. This team is working to bring a customer-centric experience to our riders, at par with the Uber experience that they have come to expect. We are looking for a high-performing Data Scientist to make significant contributions to our mission. A deep analytical passion for learning and the ability to execute on key business priorities is a must.As a Data Scientist for the team, you will play the significant role of helping define the product vision and deliver it from the ground up by working with a very fast-paced and passionate group of high-performing Data Scientists, Applied Scientists, Engineers, Designers, Product Managers, and Ops Managers. People with an entrepreneurial bent of mind, independent analytical thinking, rapid hypotheses building, testing hypotheses using experimentations, building machine learning/deep learning models, and applying causal inferences to aid the team make an informed decision and delivering high business impact.What Youll NeedKnowledge of underlying mathematical foundations of statistics, machine learning, economics, and analytics. Experience with exploratory data analysis, statistical analysis and Hypotheses testing, and model development. Fluency in SQL, Hive, and Spark and write efficient codes at scale with large datasets Experience using Python/R or any procedural programming working efficiently at scale with large data sets. Experience in building and evaluating machine learning models Proven experience of 3 years in the relevant field. MS or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative fields.What Youll DoAs a Data Scientist, you will work closely with product management, engineering and operations teams to own data science in driving Ubers product roadmap for Mobility Growth and New Verticals (e.g. High Capacity Vehicles, Micro Mobility, Rents) globally. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimisation, and work with engineering/product to deploy those algorithms and create impact in production. Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess the relative impact and extract trends Design product experiments and interpret the results to draw detailed and impactful conclusions and communicate with senior management and multi-functional teams Provide recommendations to assist quick product ideation and feature launch decisions and build intelligent data-driven products to provide the best user experience.Basic QualificationsPhD, MS or Bachelors degree in, Statistics, Economics, Machine Learning, Operations Research, Computer Science or other quantitative fields. (If M.S. degree, a minimum of 1 years of industry experience required and if Bachelors degree, a minimum of 3 years of industry experience required) Knowledge of underlying mathematical foundations of statistics, machine learning, optimisation, economics, and analytics Knowledge of experimental design and analysis Experience with exploratory data analysis, statistical analysis, and testing, and model development Ability to use a language like Python or R to work efficiently at scale with large data sets Proficiency in languages and tools like SQL, Hive, and SparkPreferred Qualifications3 years of industry experience working as a data scientist or similar Experience solving ambiguous business problems at scale Experience with causal inference techniques to evaluate the causal relationships with variables Experience building machine learning models Expertise in experimental design and analysis (e.g., A/B and market-level experiments)At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. Weve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and lets move the world forward, together.
Job Classification
Industry: InternetFunctional Area: Engineering - Software,
Role Category: Software Development
Role: Software Development
Employement Type: Full time
Education
Under Graduation: Any GraduatePost Graduation: Medical-MS/MD in Psychology
Contact Details:
Company: UberLocation(s): Bengaluru
Keyskills: Product management Computer science Data analysis Operations research Coding Analytical Machine learning Hypothesis Testing SQL Python
Uber
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