Senior Data Scientist

About BigCashWeb

BigCashWeb is a rewards gaming platform where users discover mobile games, complete milestones, and earn rewards. We work with advertising partners to drive high-quality users and engagement for mobile games.

Key Responsibilities

• Mixpanel Analytics: Build and maintain reports, funnels, cohorts, retention reports, and user segmentation using Mixpanel.
• User Journey Analysis: Identify drop-offs across signup, first offer start, milestone completion, purchases, and cashouts.
• Cohort Analysis: Analyze D1, D7, D30, and longer-term retention, revenue, and LTV by acquisition source and campaign.
• Campaign Profitability: Measure campaign-level ROI, CAC, revenue per user, and payback periods to identify profitable acquisition opportunities.
• Offerwall Optimization: Analyze offer-start rates, milestone conversion rates, progression drop-offs, and advertiser KPIs to recommend changes to reward structures and campaign bids.
• Growth Experiments: Design and analyze A/B tests for onboarding, promotional campaigns, rewards, and user engagement.
• Predictive Analytics: Build models to predict user LTV, churn probability, retention, and the likelihood of completing offers.
• Data Infrastructure: Work with engineering teams to improve event tracking, analytics instrumentation, data accuracy, and reporting pipelines.
• Actionable Insights: Translate complex data into clear recommendations that improve revenue, gross margins, and user quality.Required Qualifications
• 3+ years of experience in data science, product analytics, or growth analytics.
• Strong, hands-on experience with Mixpanel.
• Excellent SQL skills and experience working with large datasets.
• Proficiency in Python, particularly pandas and analytical libraries.
• Strong understanding of funnels, cohorts, retention, segmentation, attribution, and A/B testing.
• Experience calculating LTV, CAC, ROAS, ROI, and campaign payback.
• Ability to investigate data anomalies and distinguish tracking issues from genuine behavioral changes.
• Strong communication skills and the ability to turn analysis into actionable business decisions.Preferred Qualifications
• Experience with mobile gaming, rewarded advertising, offerwalls, affiliate marketing, or performance marketing.
• Experience analyzing advertiser event funnels and user progression within games.
• Familiarity with Amplitude, Google Analytics, AWS, and BI tools.
• Experience building LTV prediction, churn prediction, or user segmentation models.
• Experience working with event-based analytics and attribution data.