Lead Data Scientist - Mobile Gaming & Consumer Apps

Experience: 8.00 + years

Salary: INR 8000000-9000000 / year (based on experience)

Expected Notice Period: 15 Days

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: PvX Partners)

(*Note: This is a requirement for one of Uplers' client - PvX Partners)

What do you need for this opportunity?

Must have skills required:

Effective Communication, entrepreneurial mindset, Problem-Solving Excellence, Forecast Revenue, Data Science, Machine Learning

PvX Partners is Looking for:

The Role

We are seeking an exceptional Lead Data Scientist to spearhead our data science and AI initiatives in the global gaming and mobile app ecosystem. This is a strategic leadership position where you will define the vision for data science at PvX while staying hands-on with coding, model development, and experimentation. You will lead and mentor a high-performing team of 2–3 data scientists, driving innovation in ROAS forecasting and optimization.

Your work will span across free-to-play games, real-money gaming, regulated gambling apps, and consumer mobile applications - tackling some of the most complex and high-impact challenges in the industry.

What You'll Do

• Lead with Impact
• Define the long-term vision for data science at PvX and translate business priorities into actionable roadmaps.
• Lead, mentor, and inspire a team of 2–3 data scientists, fostering technical excellence and professional growth.
• Partner closely with C-level executives, product leaders, and client teams to ensure data science and AI initiatives are tightly aligned with business objectives.
• Champion innovation by introducing new methodologies, frameworks, and best practices to strengthen PvX Lambda’s forecasting and optimisation capabilities.
• Forecast Revenue / ROAS
• Build and deploy advanced forecasting models to project monthly revenues from previously acquired cohorts.
• Develop simulation frameworks to evaluate revenue outcomes under hypothetical forward marketing plans.
• Engineer robust feature sets that capture both leading indicators (CPI, CTR, early retention, channel mix) and lagging indicators (LTV, payback curves, seasonality).
• Design and maintain end-to-end ML pipelines, from data ingestion and cohort analysis to deployment and monitoring in production.
• Implement rigorous evaluation frameworks using MAPE, RMSE, directional accuracy, and custom metrics relevant to gaming and app performance.
• Optimise UA Campaigns and Ad Creatives
• Analyse user acquisition campaign performance across all major UA channels (Meta, Google, Unity, AppLovin, TikTok, etc.) to identify inefficiencies and opportunities.
• Build frameworks for ad creative intelligence, detecting winning themes, narratives, and design elements that drive superior performance.
• Partner with client teams to translate insights into actionable recommendations for budget allocation, creative strategy, and channel mix.
• Leverage attribution datasets from MMPs (AppsFlyer, Adjust, Singular) to ensure accuracy in campaign performance measurement and optimisation.
• Generate insights into monetisation levers—In-App Purchases (IAP), In-App Advertising (IAA), and Real Money Gaming (RMG)—to balance short-term returns with sustainable growth.
  
  
  

What You Bring

Essential Requirements

• Experience: 8-10 years of hands-on experience building and deploying ML models, with a track record in marketing, gaming, or consumer tech domains.
• Leadership Impact: Proven success in leading and scaling technical teams, driving projects from conception to production, and influencing cross-functional stakeholders at senior levels.
• Gaming Domain Passion: Active mobile gamer with a strong grasp of free-to-play mechanics, monetisation models, and player behaviour; comfortable translating gameplay understanding into data-driven insights.
• Technical Mastery: Expert-level proficiency in Python and the modern ML ecosystem (scikit-learn, XGBoost, LightGBM, TensorFlow/PyTorch, probabilistic models such as PyMC3).
• Data Engineering Fluency: Strong SQL skills and experience with production-grade data pipeline tools (Airflow, dbt, Spark, or equivalent).
• Statistical Rigor: Deep understanding of causal inference, experimental design, A/B testing, and advanced model evaluation techniques.
• UA Domain Knowledge: Solid expertise in user acquisition metrics (ROAS, CAC, LTV, ARPU, retention curves) and attribution methodologies (AppsFlyer, Adjust, Singular).
• Strategic Mindset: Ability to balance hands-on technical work with setting long-term data science vision, and to align technical solutions with business goals.
  
  
  

Preferred Qualifications

• Experience with free-to-play mechanics, subscription models, and evolving monetisation strategies in mobile apps.
• Knowledge of programmatic advertising, real-time bidding systems, and the broader ad tech landscape.
• Hands-on Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices
• Experience applying causal inference methods, incrementality testing, and advanced experimentation frameworks.
• Proven ability to distill complex technical findings into clear insights for C-level and business stakeholders.
• Previous experience in gaming companies, ad tech firms, or performance marketing agencies
  
  
  

Personal Attributes

• Entrepreneurial Mindset: Proactive self-starter who identifies opportunities and drives initiatives with minimal direction.
• Problem-Solving Excellence: Strong ability to break down complex business challenges into clear, actionable technical solutions.
• Effective Communication: Skilled at translating technical concepts into business impact for both technical and non-technical stakeholders.
• Adaptability: Thrives in fast-paced, dynamic environments with evolving priorities and requirements.
  
  
  

Quality Orientation: Committed to delivering robust, scalable, and production-ready solutions.

How to apply for this opportunity?

• Step 1: Click On Apply! And Register or Login on our portal.
• Step 2: Complete the Screening Form & Upload updated Resume
• Step 3: Increase your chances to get shortlisted & meet the client for the Interview!
  
  
  

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!