Manager Data Science Analytics
Manager Data Science Analytics
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Job Description
At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were 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. Were 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 eBays key marketing investments through datadriven recommendations we are a dynamic and driven team working on high impact projects along with partners from global teams.
We are seeking a highenergy driven and collaborative team member with extensive problemsolving 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 datasupported practical solutions to optimize eBays domestic and crossborder 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 crossfunctional teams including business unit product management engineering and finance to identify prioritize and solve shippingrelated business challenges.
Drive innovation and continuous improvement within the Incentive and Loyalty analytics team develop data products for faster and accurate decisionmaking leverage advanced analytics tools and data science models.
Additional requirements: This role operates within a hybrid workfromhome model requires flexibility for late evening audio or video conference meetings with US or Europebased partners or respond to emails and complete tasks in late evenings.
What we expect from you:
Bachelors degree in Engineering Computer Science Economics Statistics Mathematics or a related quantitative field. Masters 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 nontechnical partners.
Experience working in a fastpaced environment with crossfunctional teams
Basic checks:
Educational background Bachelors in engineering CS Statistics quant field
710 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 similar 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.If you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.
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Required Experience:
Manager
Employment Type
Full-Time
