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Uber is hiring for an fresher entry level Data Scientist role in India




Position:

  • Data Scientist - Risk

Company:

  • Uber Technologies Inc.

Location:

  • Hyderabad, India

Job type:

  • Full-time

Job mode:

  • Hybrid (expected to work from office at least 50% of the time)

Job requisition id:

  • Not explicitly mentioned

Years of experience:

  • 0 to 3 years


Company Description

  • Uber is a global technology company that is transforming the way people and goods move around cities.

  • It offers products such as ride-sharing, food delivery (Uber Eats), freight transport, and logistics services across many countries.

  • Uber’s mission is to help people go anywhere and get anything seamlessly, thereby supporting everyday life.

  • The company is recognized for innovation in mobility and for building solutions that benefit cities, riders, drivers, and businesses.

  • Uber places a strong focus on safety, sustainability, and responsible innovation.

  • It fosters a collaborative work culture that values diversity, inclusion, and equal opportunity employment for all individuals.

  • With a presence in hundreds of cities around the world, Uber continues to reimagine urban mobility.

  • Its Hyderabad office serves as a major engineering and analytics hub, focusing on cutting-edge product development and data science.

  • Employees at Uber are encouraged to experiment, build, and deliver solutions that can scale globally.

  • Offices remain central to collaboration, though flexibility through hybrid setups is available.


Profile Overview

  • The Data Scientist - Risk role is aimed at enhancing platform security, mitigating fraud, and optimizing user trust across Uber’s services.

  • You’ll be responsible for identifying and owning loss metrics for specific regions or lines of business.

  • The role requires designing scalable anti-fraud solutions and experimenting with models that enhance data security.

  • You’ll collaborate with engineering, product, and analytics teams to ensure smooth deployment and execution of risk-mitigating solutions.

  • A key aspect of this role is data experimentation, such as A/B testing and the evaluation of statistical models.

  • You’ll develop robust reporting frameworks and dashboards that monitor fraud risk performance.

  • The role demands a proactive mindset, a structured problem-solving approach, and high accountability for outcomes.

  • If you enjoy navigating large datasets, building risk models, and influencing product-level decisions, this role is a perfect fit.

  • The ideal candidate will be enthusiastic, self-driven, and comfortable in agile environments.

  • Clear communication, cross-functional collaboration, and an entrepreneurial spirit are essential to succeed in this position.


Qualifications

  • Must-Have Skills:

    • Proficiency in SQL, capable of writing optimized and complex queries.

    • Strong hands-on experience in Python or R for data analysis and modeling.

    • Practical exposure to A/B testing methodologies and statistical modeling.

    • Ability to independently explore and analyze large, raw datasets.

    • A structured and logical problem-solving approach to data challenges.

    • Ownership mindset with a strong sense of accountability and responsibility.

    • Ability to make confident decisions based on data insights.

    • Effective communicator, capable of translating complex findings into actionable strategies.

  • Preferred Skills:

    • Previous experience in a risk-related role at a product or technology company.

    • Passion for working with data and turning insights into meaningful narratives.

    • Comfortable working independently and autonomously while also being a strong team player.

    • Familiarity with deploying risk solutions within real-time systems or products.

    • Background in fraud analytics or anomaly detection is a strong plus.

    • Understanding of scalable systems and cloud environments may be beneficial.

    • Ability to build experimental frameworks and interpret experiment results for iterative improvements.


Additional Info

  • As part of Uber’s risk analytics team, you'll work on high-impact projects that safeguard the platform from fraud and abuse.

  • The role is hybrid - employees are expected to spend at least 50% of work time in Uber’s Hyderabad office unless otherwise approved.

  • Uber is committed to diversity and offers an inclusive workplace where everyone is treated fairly and with respect.

  • Candidates from diverse backgrounds, abilities, and experiences are encouraged to apply.

  • Employees are offered accommodation for religious or medical reasons as per applicable law.

  • You’ll be part of a culture that values curiosity, innovation, and collaborative problem-solving.

  • The environment is fast-paced, and ideal for someone who thrives on tackling new challenges daily.

  • Uber emphasizes continuous learning, allowing employees to upskill and grow within the organization.

  • The role offers the chance to impact millions of users globally while learning from top-tier professionals in the data and product space.

  • This is a fantastic opportunity to start or grow your career at a global technology leader.


Please click here to apply.


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