Position:
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Data Scientist, Tax Data Solutions
Company:
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eBay Inc.
Location:
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Bengaluru, India
Job type:
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Full-time
Job mode:
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Hybrid
Job requisition id:
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R0065145
Years of experience:
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Not explicitly mentioned in the job description; looks like a fresher entry level role as per JD; 0-3 years
Company description:
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eBay stands as a globally recognized name in the ecommerce landscape, facilitating seamless buying and selling experiences across 190+ markets.
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As a company, it’s not just about transactions – it’s about creating meaningful connections between people, communities, and products.
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With a customer-first philosophy, eBay consistently seeks to elevate user experiences by embracing authenticity, innovation, and inclusive thinking.
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The company encourages every employee to bring their authentic self to work, fostering a workplace where creativity and individuality thrive.
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eBay is known for its commitment to responsible commerce and sustainability, both towards its customers and the planet.
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Beyond the traditional definition of a marketplace, eBay is a community-driven platform that creates economic opportunities for millions worldwide.
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The organization cultivates a culture of continuous learning, innovation, and high-impact work, especially in data-centric roles.
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Employees at eBay operate with a sense of purpose, contributing to a larger vision of redefining the future of digital commerce.
Profile overview:
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The role sits within the Tax Data Solutions team, a specialized group responsible for delivering analytical depth and actionable insights to eBay’s global tax function.
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As a Data Scientist in this team, the candidate will engage in meaningful projects that impact decision-making and operational strategy in the tax domain.
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The scope of the position spans advanced analytics, statistical modeling, machine learning implementations, automation, and dashboarding.
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Collaboration is at the heart of this role, requiring close coordination with business, legal, finance, and customer service teams.
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Ideal for professionals who are not just technically sound but can also translate business needs into scalable data science solutions.
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The position offers the opportunity to experiment with innovative methodologies and technologies to solve complex, cross-functional problems.
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There’s a strong emphasis on building self-serve solutions and democratizing access to data insights across teams.
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This is a highly autonomous role, and the selected candidate will be expected to deliver results with minimal supervision while being part of a globally distributed team.
What you will accomplish:
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Forge strong working relationships with product, tax, and other business units to identify relevant data science use cases.
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Evaluate current data capabilities and determine gaps or areas for data science intervention to drive measurable business results.
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Lead the implementation of advanced machine learning models tailored to the tax function's analytical needs and process improvements.
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Contribute to a culture of experimentation by continuously researching new algorithms and testing methodologies.
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Proactively identify opportunities to automate and streamline manual tasks within the tax domain using algorithms and intelligent tools.
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Design and develop scalable data pipelines and analytical frameworks that can support large volumes of structured and unstructured data.
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Implement self-service analytics solutions, enabling non-technical stakeholders to independently explore insights.
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Collaborate on cross-functional initiatives that require input from finance, legal, customer experience, and engineering teams.
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Leverage visualization tools to present complex datasets in an intuitive and actionable format.
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Play a key role in building a centralized fact base by deep-diving into eBay’s vast data ecosystem.
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Track the performance of deployed models and refine them based on business feedback and ongoing learning.
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Participate in quarterly and annual planning sessions to shape data science roadmaps aligned with organizational goals.
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Monitor KPIs for efficiency and innovation, reporting them back to senior leadership for strategic decision-making.
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Ensure transparency and consistency in all communications and deliverables within the global tax function.
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Continuously explore new tax policies or compliance requirements and build analytical frameworks that ensure business readiness.
What you will bring:
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A natural curiosity to dig deep into problems, even when the path forward is ambiguous or not well defined.
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Demonstrated expertise in managing end-to-end data science projects, from ideation to deployment and monitoring.
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Strong capabilities in machine learning, including supervised and unsupervised learning, with the ability to match models to business needs.
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Ability to understand and work within the constraints and complexity of the tax domain while exploring data-driven solutions.
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Strong command over Python and SQL for data wrangling, exploration, modeling, and deployment.
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Familiarity with LLMs or recent advances in generative AI is considered a significant advantage.
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Experience in processing and analyzing large datasets using tools such as Hadoop, Teradata, Spark, or equivalent platforms.
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Agile mindset and comfort working in fast-paced, iteration-driven environments.
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Ability to understand user pain points and develop tools or models that bring tangible value.
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Strong storytelling and data visualization skills to effectively communicate findings to technical and non-technical audiences.
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Effective interpersonal skills to navigate global collaboration and coordinate across multiple departments.
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Demonstrated ability to work independently, managing multiple priorities and consistently delivering high-quality work.
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Experience translating abstract business goals into concrete, executable data solutions.
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Enthusiasm for staying updated with the latest trends in data science, tax technology, and automation.
Qualifications:
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A strong academic background in Computer Science, Statistics, Mathematics, Data Science, or a related field.
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Practical experience in building and deploying machine learning models in a business context.
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In-depth understanding of the data lifecycle, from collection and cleaning to modeling and visualization.
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Familiarity with industry best practices in software development, data versioning, and code review.
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Exposure to tax analytics or regulatory data environments is advantageous but not mandatory.
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Proficiency in Python for algorithm development, coupled with SQL expertise for database manipulation and queries.
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Capable of building intuitive visualizations using tools like Tableau, Power BI, or equivalent.
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Experience with distributed data systems such as Hadoop and cloud-based services is highly desirable.
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Agile methodology familiarity and comfort working in sprints with cross-functional teams.
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Strong logical reasoning and analytical problem-solving abilities.
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Excellent verbal and written communication skills, with the ability to simplify complex technical concepts.
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Ability to learn quickly and adapt to evolving technologies and business demands.
Additional info:
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The position is part of a hybrid model, offering flexibility to work both remotely and on-site in Bengaluru.
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The role is open to candidates who are self-starters and thrive in collaborative, cross-functional environments.
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eBay promotes a people-first culture and values work-life balance while fostering a high-performance mindset.
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Equal employment opportunity is a foundational principle at eBay, and all hiring is done without bias.
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Candidates requiring workplace accommodations will receive appropriate support throughout the hiring process.
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Employees are encouraged to take ownership of their growth through learning resources and internal mobility.
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eBay’s global presence means collaboration across time zones, so adaptability and communication are essential.
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All personal data shared through the application process is handled in accordance with eBay’s privacy practices.
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This role offers high visibility and the chance to impact strategic tax decisions through intelligent data science.
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Employees can expect to be part of a mission-driven company focused on innovation, inclusivity, and sustainability.
Please click here to apply.
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