ebay is hiring for a fresher entry level Data Scientist in India

Position:

Data Scientist, Tax Data Solutions

Company:

eBay Inc.

Location:

Bengaluru, India

Job type:

Full-time

Job mode:

Hybrid

Job requisition id:

R0065145

Years of experience:

Not explicitly mentioned in the job description; looks like a fresher entry level role as per JD; 0-3 years

Company description:

eBay stands as a globally recognized name in the ecommerce landscape, facilitating seamless buying and selling experiences across 190+ markets.
As a company, it’s not just about transactions – it’s about creating meaningful connections between people, communities, and products.
With a customer-first philosophy, eBay consistently seeks to elevate user experiences by embracing authenticity, innovation, and inclusive thinking.
The company encourages every employee to bring their authentic self to work, fostering a workplace where creativity and individuality thrive.
eBay is known for its commitment to responsible commerce and sustainability, both towards its customers and the planet.
Beyond the traditional definition of a marketplace, eBay is a community-driven platform that creates economic opportunities for millions worldwide.
The organization cultivates a culture of continuous learning, innovation, and high-impact work, especially in data-centric roles.
Employees at eBay operate with a sense of purpose, contributing to a larger vision of redefining the future of digital commerce.

Profile overview:

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.
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.
The scope of the position spans advanced analytics, statistical modeling, machine learning implementations, automation, and dashboarding.
Collaboration is at the heart of this role, requiring close coordination with business, legal, finance, and customer service teams.
Ideal for professionals who are not just technically sound but can also translate business needs into scalable data science solutions.
The position offers the opportunity to experiment with innovative methodologies and technologies to solve complex, cross-functional problems.
There’s a strong emphasis on building self-serve solutions and democratizing access to data insights across teams.
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:

Forge strong working relationships with product, tax, and other business units to identify relevant data science use cases.
Evaluate current data capabilities and determine gaps or areas for data science intervention to drive measurable business results.
Lead the implementation of advanced machine learning models tailored to the tax function's analytical needs and process improvements.
Contribute to a culture of experimentation by continuously researching new algorithms and testing methodologies.
Proactively identify opportunities to automate and streamline manual tasks within the tax domain using algorithms and intelligent tools.
Design and develop scalable data pipelines and analytical frameworks that can support large volumes of structured and unstructured data.
Implement self-service analytics solutions, enabling non-technical stakeholders to independently explore insights.
Collaborate on cross-functional initiatives that require input from finance, legal, customer experience, and engineering teams.
Leverage visualization tools to present complex datasets in an intuitive and actionable format.
Play a key role in building a centralized fact base by deep-diving into eBay’s vast data ecosystem.
Track the performance of deployed models and refine them based on business feedback and ongoing learning.
Participate in quarterly and annual planning sessions to shape data science roadmaps aligned with organizational goals.
Monitor KPIs for efficiency and innovation, reporting them back to senior leadership for strategic decision-making.
Ensure transparency and consistency in all communications and deliverables within the global tax function.
Continuously explore new tax policies or compliance requirements and build analytical frameworks that ensure business readiness.

What you will bring:

A natural curiosity to dig deep into problems, even when the path forward is ambiguous or not well defined.
Demonstrated expertise in managing end-to-end data science projects, from ideation to deployment and monitoring.
Strong capabilities in machine learning, including supervised and unsupervised learning, with the ability to match models to business needs.
Ability to understand and work within the constraints and complexity of the tax domain while exploring data-driven solutions.
Strong command over Python and SQL for data wrangling, exploration, modeling, and deployment.
Familiarity with LLMs or recent advances in generative AI is considered a significant advantage.
Experience in processing and analyzing large datasets using tools such as Hadoop, Teradata, Spark, or equivalent platforms.
Agile mindset and comfort working in fast-paced, iteration-driven environments.
Ability to understand user pain points and develop tools or models that bring tangible value.
Strong storytelling and data visualization skills to effectively communicate findings to technical and non-technical audiences.
Effective interpersonal skills to navigate global collaboration and coordinate across multiple departments.
Demonstrated ability to work independently, managing multiple priorities and consistently delivering high-quality work.
Experience translating abstract business goals into concrete, executable data solutions.
Enthusiasm for staying updated with the latest trends in data science, tax technology, and automation.

Qualifications:

A strong academic background in Computer Science, Statistics, Mathematics, Data Science, or a related field.
Practical experience in building and deploying machine learning models in a business context.
In-depth understanding of the data lifecycle, from collection and cleaning to modeling and visualization.
Familiarity with industry best practices in software development, data versioning, and code review.
Exposure to tax analytics or regulatory data environments is advantageous but not mandatory.
Proficiency in Python for algorithm development, coupled with SQL expertise for database manipulation and queries.
Capable of building intuitive visualizations using tools like Tableau, Power BI, or equivalent.
Experience with distributed data systems such as Hadoop and cloud-based services is highly desirable.
Agile methodology familiarity and comfort working in sprints with cross-functional teams.
Strong logical reasoning and analytical problem-solving abilities.
Excellent verbal and written communication skills, with the ability to simplify complex technical concepts.
Ability to learn quickly and adapt to evolving technologies and business demands.

Additional info:

The position is part of a hybrid model, offering flexibility to work both remotely and on-site in Bengaluru.
The role is open to candidates who are self-starters and thrive in collaborative, cross-functional environments.
eBay promotes a people-first culture and values work-life balance while fostering a high-performance mindset.
Equal employment opportunity is a foundational principle at eBay, and all hiring is done without bias.
Candidates requiring workplace accommodations will receive appropriate support throughout the hiring process.
Employees are encouraged to take ownership of their growth through learning resources and internal mobility.
eBay’s global presence means collaboration across time zones, so adaptability and communication are essential.
All personal data shared through the application process is handled in accordance with eBay’s privacy practices.
This role offers high visibility and the chance to impact strategic tax decisions through intelligent data science.
Employees can expect to be part of a mission-driven company focused on innovation, inclusivity, and sustainability.