Position:
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Data Scientist - Risk
Company:
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Uber Technologies Inc.
Location:
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Hyderabad, India
Job type:
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Full-time
Job mode:
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Hybrid (expected to work from office at least 50% of the time)
Job requisition id:
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Not explicitly mentioned
Years of experience:
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0 to 3 years
Company Description
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Uber is a global technology company that is transforming the way people and goods move around cities.
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It offers products such as ride-sharing, food delivery (Uber Eats), freight transport, and logistics services across many countries.
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Uber’s mission is to help people go anywhere and get anything seamlessly, thereby supporting everyday life.
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The company is recognized for innovation in mobility and for building solutions that benefit cities, riders, drivers, and businesses.
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Uber places a strong focus on safety, sustainability, and responsible innovation.
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It fosters a collaborative work culture that values diversity, inclusion, and equal opportunity employment for all individuals.
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With a presence in hundreds of cities around the world, Uber continues to reimagine urban mobility.
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Its Hyderabad office serves as a major engineering and analytics hub, focusing on cutting-edge product development and data science.
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Employees at Uber are encouraged to experiment, build, and deliver solutions that can scale globally.
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Offices remain central to collaboration, though flexibility through hybrid setups is available.
Profile Overview
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The Data Scientist - Risk role is aimed at enhancing platform security, mitigating fraud, and optimizing user trust across Uber’s services.
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You’ll be responsible for identifying and owning loss metrics for specific regions or lines of business.
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The role requires designing scalable anti-fraud solutions and experimenting with models that enhance data security.
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You’ll collaborate with engineering, product, and analytics teams to ensure smooth deployment and execution of risk-mitigating solutions.
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A key aspect of this role is data experimentation, such as A/B testing and the evaluation of statistical models.
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You’ll develop robust reporting frameworks and dashboards that monitor fraud risk performance.
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The role demands a proactive mindset, a structured problem-solving approach, and high accountability for outcomes.
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If you enjoy navigating large datasets, building risk models, and influencing product-level decisions, this role is a perfect fit.
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The ideal candidate will be enthusiastic, self-driven, and comfortable in agile environments.
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Clear communication, cross-functional collaboration, and an entrepreneurial spirit are essential to succeed in this position.
Qualifications
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Must-Have Skills:
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Proficiency in SQL, capable of writing optimized and complex queries.
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Strong hands-on experience in Python or R for data analysis and modeling.
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Practical exposure to A/B testing methodologies and statistical modeling.
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Ability to independently explore and analyze large, raw datasets.
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A structured and logical problem-solving approach to data challenges.
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Ownership mindset with a strong sense of accountability and responsibility.
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Ability to make confident decisions based on data insights.
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Effective communicator, capable of translating complex findings into actionable strategies.
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Preferred Skills:
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Previous experience in a risk-related role at a product or technology company.
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Passion for working with data and turning insights into meaningful narratives.
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Comfortable working independently and autonomously while also being a strong team player.
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Familiarity with deploying risk solutions within real-time systems or products.
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Background in fraud analytics or anomaly detection is a strong plus.
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Understanding of scalable systems and cloud environments may be beneficial.
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Ability to build experimental frameworks and interpret experiment results for iterative improvements.
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Additional Info
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As part of Uber’s risk analytics team, you'll work on high-impact projects that safeguard the platform from fraud and abuse.
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The role is hybrid - employees are expected to spend at least 50% of work time in Uber’s Hyderabad office unless otherwise approved.
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Uber is committed to diversity and offers an inclusive workplace where everyone is treated fairly and with respect.
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Candidates from diverse backgrounds, abilities, and experiences are encouraged to apply.
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Employees are offered accommodation for religious or medical reasons as per applicable law.
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You’ll be part of a culture that values curiosity, innovation, and collaborative problem-solving.
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The environment is fast-paced, and ideal for someone who thrives on tackling new challenges daily.
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Uber emphasizes continuous learning, allowing employees to upskill and grow within the organization.
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The role offers the chance to impact millions of users globally while learning from top-tier professionals in the data and product space.
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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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