
Data Scientist
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States, +16 more locations.
• Become a member of the central Data Science & Analytics team while integrating into growth, product, AI and automation, or strategic partnerships.
• Take ownership of the analytical function for a designated business unit from start to finish.
• Identify business challenges, inquiries, and decisions that the analyses should tackle.
• Establish metrics and create reports.
• Conduct analyses and design experiments.
• Highlight insights that enhance essential business metrics.
• Deliver recommendations to product, growth, finance, or operations teams.
• Clarify the current situation, the reasons behind it, and propose actionable next steps.
• Facilitate decision-making and see initiatives through to fruition.
• A minimum of 2 years of experience in a consulting firm, investment bank, or a rapidly growing technology company.
• Strong analytical capabilities.
• Proficiency in extracting, organizing, and interpreting data autonomously.
• Proven track record of managing ambiguous challenges and delivering results.
• Excellent and persuasive communication skills with the ability to influence decisions at the leadership level.
• Familiarity with SQL or Python.
• Must currently reside in Arizona, California, Colorado, Florida, Georgia, Illinois, Massachusetts, North Carolina, New Jersey, Nevada, New York, Oregon, Tennessee, Texas, Utah, Virginia, or Ontario, Canada.
• Must be legally authorized to work in the U.S. or Canada.
• Proficient with tools such as SQL (ClickHouse), Metabase, Python, JupyterHub, and GitHub.
• Equity opportunities / stock options.
• Health coverage.
• Dental coverage.
• Vision coverage.
• Paid time off.
• Paid parental leave.
• 401(k) plan with employer matching in the U.S.
• RRSP plan with employer matching in Canada.
• Wellness benefits.
• Remote-first work arrangement.
• Offices available in Palo Alto, New York City, Chicago, and Toronto for in-person or hybrid work.
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