Lead Data Scientist

Job not on LinkedIn

🕒 July 21

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Xflow

WebsiteLinkedInAll Job Openings

11 - 50 employees

💳 Fintech

🔌 API

☁️ SaaS

Fintech • API • SaaS

Xflow is a company that provides powerful API solutions for simplifying international payments, with a focus on facilitating collections and fund transfers to and from India. Their products include virtual foreign currency accounts, payment links for international invoices, invoicing with built-in payments, and solutions tailored for platforms to manage international payments. Xflow's offerings are particularly beneficial for IT service exporters, funded startups, small and medium businesses, freelancers, and platforms seeking to conduct international transactions without barriers. Xflow supports various payment methods like NEFT, RTGS, IMPS, and UPI, allowing for fast, secure, and cost-effective transactions. The company also ensures compliance with India's regulatory landscape, helping businesses focus on growth while avoiding operational complexities. Xflow's APIs are designed for seamless cross-border business payments, offering flexibility, white-label integration, and support for multiple currencies.

📋 Description

• Lead Data Science initiatives focused on advertising monetization, maximizing revenue while maintaining a great user experience • Develop ML models for ad targeting, ranking, pricing, revenue prediction, and monetization optimization • Improve recommendation and personalization systems to increase user engagement, retention, and lifetime value • Analyze user behavior and advertising performance to identify growth opportunities and drive product decisions • Design, analyze, and interpret A/B tests and other experiments • Collaborate closely with Product Managers, Engineers, and Analysts to define roadmap and prioritize high-impact initiatives • Mentor Data Scientists through technical guidance, code reviews, and best practices • Drive the adoption of scalable ML solutions and ensure high standards for experimentation and model quality • Present insights and technical solutions clearly to both technical and non-technical stakeholders

🎯 Requirements

• 5+ years of experience in Data Science, preferably in consumer mobile products • Proven experience with advertising monetization, revenue optimization, or advertising analytics • Strong experience building recommendation, personalization, or ranking systems • Advanced proficiency in Python and SQL • Hands-on experience with machine learning models, including classification, regression, ranking, forecasting, and predictive modeling • Strong understanding of experimentation methodology and applied statistics • Experience working with large-scale behavioral datasets • Experience leading or mentoring Data Scientists and driving technical initiatives • Ability to translate business goals into ML solutions with measurable impact • Native Russian language • Experience with mobile advertising ecosystems (AdMob, AppLovin, Unity Ads, ironSource, etc.) • Experience with recommendation systems based on embeddings, collaborative filtering, or learning-to-rank • Experience deploying ML models into production • Experience with LLMs or GenAI applications • Experience with MLOps and cloud platforms (AWS, GCP, Azure)

🏖️ Benefits

• Competitive salary and benefits package • Opportunity to work on high-scale mobile products with millions of users • Direct impact on monetization strategy and core product algorithms • High level of ownership and autonomy • Opportunity to shape the Data Science direction and mentor a growing team • Opportunity to work with a talented and passionate team in a creative and dynamic environment • Flexible working hours and hybrid/office work options • Career growth and professional development opportunities • A fun and inclusive company culture that celebrates diversity and creativity