Data Scientist with Growth Analytics

• Pricing & Incentive Strategy: Design and test dynamic pricing models and incentive structures (e.g., first-order discounts, owner bonuses). You will mathematically determine how to stoke demand and aid conversion without eroding our contribution profit margins, ensuring every dollar of "discount" generates long-term ROI.
• The Growth Equation: Model our acquisition channels (Organic, Paid, Referral, Ambassadors). You will identify which channels have the highest LTV/CAC ratio and tell us where to double down.
• Viral Loops: Analyze our referral and sharing behaviors. You will calculate our K-factor (virality) and identify product changes to keep our users as our best marketing channel.

Marketplace Liquidity & Retention

• Supply-Led Growth: Analyze how inventory levels drive organic growth. Does adding 100 power owners in Chicago unlock 1,000 new customers? You will tell us where to focus supply acquisition.
• The "Magic Moments": Identify the specific user behaviors that lead to long-term retention (e.g., "Users who rent within 7 days of signup retain at 3x").
• Churn Prediction: Build models to identify at-risk users before they leave, allowing our CX team to intervene.

Product Conversion (CRO)

• Funnel Optimization: Own the granular analysis of our demand and supply funnels. You will find the leaks in the bucket and design A/B tests to plug them.
• Experimentation: Help the product team design valid experiments. You ensure we aren't just shipping features, but moving metrics with statistical significance.

• The "Grinder" Mentality: You are relentlessly curious. You are the type of person who can't put something down until you figure out the why.
• Growth Native: You speak the language of growth: CAC, LTV, ROAS, K-Factor, Churn, and Cohorts. You understand that "Data Science" is a tool to make money and grow the user base.
• Product Fluency: You understand product growth loops and can quickly execute and extract insights from demand funnels and A/B tests
• 5+ Years Experience: Ideally in a Consumer Marketplace or high-growth B2C app. You have seen how a company scales and understand the data infrastructure needed to support it.
• Note: We are open to less experience if you have exceptional raw talent and a portfolio of solving complex growth problems.
• Technical Fluency: Expert-level SQL. Proficient in Python/R for modeling. Experience with growth stacks (PostHog, Mixpanel, AppsFlyer, Segment) and visualization tools.

MatchPoint Solutions is a fast-growing, young, energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber, Robinhood, Netflix, Airbnb, Google, Sephora, and more! More recently, we have expanded to working internationally in Canada, China, Ireland, UK, Brazil, and India. Through our culture of innovation, we inspire, build, and deliver business results, from ideas to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise. We are excited to be continuously expanding our team. If you are interested in this position, please send over your updated resume. We look forward to hearing from you!