Manager, Data Science – Analytics

Job description

This job is with eBay, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Please do not contact the recruiter directly.

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells.

Our platform empowers millions of buyers and sellers in more than 190 markets around the world.

We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day.

We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

Job Description - Manager, Data Science - Analytics
Job Location:

Bangalore

, India

The

Incentive and loyalty team

works closely with product and business partners

with the objective to drive success of eBay's key marketing investments

through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.
We are

seeking

a high-energy,

driven

and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities.

The ideal candidate will apply advanced analytics and data science techniques to drive innovation, build data products, and deliver actionable recommendations through meticulous analysis.

Responsibilities:
Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, wide variety of quantitative and qualitative data, and provide structured and data-supported practical solutions to

optimize

eBay's domestic and cross-border shipping operations.

Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while

optimizing

conversion.

Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to

monitor

and ensure program success.

Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to

identify

, prioritize, and solve shipping-related business challenges.

Drive innovation and continuous improvement within the Incentive and Loyalty analytics team, develop data products for faster and

accurate

decision-making,

leverage

advanced analytics tools and data science models.

Additional

requirements: This role

operates

within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.

What we expect from you:
Bachelor's degree in Engineering

, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field.

Master's

in a related field or MBA is preferred.

8+ years of work experience in data science, analytics, or a related field.

Strong analytical skills with

expertise

in SQL,

Excel

and data visualization tools (

e.g.

Tableau),

Proficiency

in a statistical programming language like R or Python is preferred

Background in product analytics with

hands on

experience with A/B experiments (design and measurement techniques) is preferred.

Proven

track record

of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.

Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.

Experience working in a fast-paced environment with cross-functional teams

Basic checks:
Educational background -

Bachelor's in engineering

, CS, Statistics, quant field

7-10 years of experience, majorly spent in analytics

and data science role

Some keywords to look for

- data science

,

analytics

,

A/B testing

,

product analytics

Tools: SQL, Python and at least 1 reporting tool

like Tableau

/ QlikView/ Power BI

Some experience in s

imilar companies - ecommerce/ retail

would be good

Good to have but not necessarily

-

MBA, good colleges

Mentioned business impact from their work

Candidate check:
Hybrid role, working with global partners which means late night calls

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eBay is an equal opportunity employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.

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We will make every effort to respond to your request for accommodation as soon as possible.

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