Extend
Data Scientist
Job Summary
The role involves developing and implementing innovative pricing strategies to maximize revenue and support client acquisition. The position requires working closely with stakeholders across Revenue, Product, and Engineering teams to leverage data-driven insights and optimize revenue opportunities. Candidates should have experience with data analysis, SQL, Python, and A/B testing, with a focus on quantitative problem-solving. The role emphasizes collaboration, communication, and strategic thinking to influence business growth initiatives.
Required Skills
Benefits
Job Description
About Extend:
Today, Extend works with more than 1,000 leading merchant partners across industries, including fashion/apparel, cosmetics, furniture, jewelry, consumer electronics, auto parts, sports and fitness, and much more. Extend is backed by some of the most prominent technology investors in the industry, and our headquarters is in downtown San Francisco.
About the Role:
This role is part of Extend’s Revenue Analytics team, focused on developing strategic recommendations grounded in data to scale and drive revenue. You will piece together different contexts from Revenue, Product, Engineering, and business leaders to identify growth and expansion opportunities that directly drive the company’s bottom line. If you’re excited about breaking down complexity and ambiguity into quantifiable impact, you’ll thrive on our team.
What You Will Be Doing:
- Strategic Pricing and Revenue Optimization: Lead the development and implementation of innovative pricing strategies to maximize revenue generation and enhance client acquisition.
- Lead Cross-functional Projects: Act as internal consultant, liaising with internal stakeholders such as Revenue, Programs, and Servicing teams to define and execute on data-driven strategy on existing and future products.
- Data-driven Insights: Utilize advanced quantitative analysis techniques (simulation models, A/B testing etc.) to influence audiences on strategic direction, with opportunities to present these insights to leadership and cross-functional partners on a regular basis.
- Data Infrastructure: Enhance and refine existing quantitative tools to harness the power of data analytics, defining data structures, and leveraging advanced tracking methodologies to uncover revenue opportunities.
What We’re Looking For:
- Analytical problem-solver with 2+ years experience breaking down business problems into data driven impact.
- Advanced degree in data science, analytics, economics, statistics or similar quantitative field
- Previous experience in consulting a plus
- Strong knowledge of SQL, structuring data and ability to effectively query multiple tables of different grains with use of subqueries and window functions
- Expertise with Python and Github
- Practical and theoretical knowledge of A/B testing a plus
- Strong written and verbal communication skills who excels at sharing data insights to audiences of all backgrounds
- Intellectually curious, willing to think beyond just the revenue organization and prioritize what is best for the business holistically
- Empathetic, humble, and collaborative team player
- Candidates must be located within the continental United States
Expected Pay Range: $100,000 - $120,000 per year salaried*
* The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
Life at Extend:
- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
- 401(k) with Financial Guidance from Morgan Stanley.
Extend
Extend helps merchants generate revenue and mitigate fraud through modern post-purchase solutions like product and shipping protection. Lower risk. Greater reward.
See more jobsSafe Remote Job Search Tips
Verify Employer Thoroughly
Research the company's identity thoroughly before applying. Check for a professional website with contacts, active social media, and LinkedIn profiles. Verify details across platforms and look for reviews on Glassdoor or Trustpilot to confirm legitimacy.
Never Pay to Get a Job
Legitimate employers never require payment for applications, training, background checks, or equipment. Always reject upfront payment requests or demands for bank details, even if they claim it's for purchasing necessary work gear on your behalf.
Safeguard Your Personal Information
Protect sensitive data like SSN, bank details, or ID copies. Share this only after accepting a formal, written job offer. Ensure it's submitted via a secure company system or portal, never through insecure channels like standard email attachments.
Scrutinize Communication & Interviews
Watch for communication red flags: poor grammar, generic emails (@gmail), vague details, or undue pressure. Be highly suspicious of interviews held only via text or chat apps; legitimate companies typically use video or phone calls.
Beware of Unrealistic Offers
If an offer's salary or benefits seem unrealistically high for the work involved, be cautious. Research standard pay for similar roles. Offers that appear 'too good to be true' are often scams designed to lure you into providing information or payment.
Insist on a Formal Contract
Always secure and review a formal, written job offer or employment contract before starting work or sharing final personal details. Ensure it clearly defines your role, compensation, key terms, and conditions to avoid misunderstandings or scams.