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Senior Data Science - Analyst
eBay
Toronto
On-site
CAD 90,000 - 130,000
Full time
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Job summary
Join eBay as a Senior Data Science Analyst in Toronto, where you'll lead analytics strategies in the Regulatory domain. Utilize your expertise to define key metrics and develop impactful data visualization tools that drive product performance and enhance business decisions. Collaborate with cross-functional teams to tackle challenges and innovate solutions in the fast-paced e-commerce space.
Qualifications
- 5+ years of professional experience in using data to facilitate business decisions.
- Experience in efficient manipulation and analysis of large data sets is required.
- Advanced understanding of big data technologies and tools.
Responsibilities
- Set analytics strategy and handle analytics roadmaps for the Regulatory domain.
- Design and execute A/B tests and predictive analytics to drive product strategy.
- Develop dashboards and self-service data visualization tools.
Skills
Education
Tools
Job description
Join to apply for the Senior Data Science - Analyst role at eBay
Join to apply for the Senior Data Science - Analyst role at eBay
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.
About The Role And Team
We are seeking a Product Data Science and Analytics member to lead our efforts in the Regulatory Product domains. Successful candidates should have a strong background in data science & analytics and able to thrive in a fast-paced environment without being hindered by ambiguity or opposing priorities.
What You Will Accomplish
- Set Analytics strategy, design and handle analytics roadmaps for Regulatory domain.
- Define, design and track key metrics to measure product performance and lead product health monitoring.
- Design and execute A/B tests, causal inference, predictive analytics to identify and quantify opportunities and drive product strategy and roadmaps.
- Develop dashboards and other self-service data visualization tools.
- Partner with cross functional teams (Engineering, Product, Business etc.) to identify, prioritize and take on business challenges & develop best in class analytics solutions.
- Bachelor's degree in Computer Science, Engineering, Statistics or other quantitative fields. Master’s degree or equivalent experience is a plus.
- 5+ years of professional experience in using data to facilitate business decisions.
- Excellent problem-solving skills and the ability to work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
- Consistent track record of using data to drive significant business impact, preferably within a product organization.
- Experience in efficient manipulation and analysis of large data sets.
- Ability to make decisions, adapt to change and deal with ambiguity.
- Advanced understanding of big data technologies and tools (e.g., Hadoop, Spark, SQL, Tableau) and experimentation concepts.
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 talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesTechnology, Information and Internet
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