Qureos Mentor

GreedyGame

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 About GreedyGame
 
 
 
 GreedyGame is a leading ad-tech company that's been driving app growth and monetization.
 
 
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 We&rsquo;ve built a sustainable and profitable business for over 7 years without chasing vanity metrics and successfully completed our 0&rarr;1 journey, we&rsquo;re now scaling rapidly (1&rarr;10 phase)
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 As a Google Publishing Partner, we serve 100M+ daily ad impressions and support 5,000+ apps and games worldwide&mdash;delivering up to 75% revenue uplift
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 Trusted by brands like Amazon, Dream11, MPL, Sharechat, Treebo, Mobikwik, and 1000+ publishers across 20+ countries.
 
 
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 We are looking for a
 
 Data Scientist
 
 who can turn this data into foresight building models that predict campaign outcomes, forecast publisher revenue, and power decision-making at scale.
 
 
 Responsibilities-
 
 
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 Revenue Forecasting: Build predictive models to estimate publisher revenue streams, fill rates, and eCPM across different ad networks and geographies.
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 User Behavior Prediction: Analyze in-app user journeys and predict churn, retention, and engagement to help publishers personalize experiences.
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 Ad Performance Modeling: Develop CTR and conversion rate prediction models to optimize bidding strategies and ad placements.
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 Inventory Forecasting: Forecast ad inventory availability and demand to help sales and publisher teams plan better.
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 Campaign Optimization: Work with account managers and product teams to provide real-time insights on campaign pacing, under-delivery risks, and performance anomalies.
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 Experimentation: Design and run experiments (A/B/n tests) to evaluate new ad formats, placements, and targeting algorithms.
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 Data Products: Partner with engineering to embed forecasting models into GreedyGame&rsquo;s platform, enabling self-serve insights for publishers and advertisers.
 
 
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 Requirements
 
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 2&ndash;4 years of hands-on experience in predictive analytics, time series forecasting, or applied ML.
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 Strong proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels) and SQL.
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 Familiarity with MLOps practices (model deployment, monitoring, retraining).
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 Solid understanding of statistical inference, experiment design, and causal analysis.
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 Knowledge of real-time prediction pipelines (Kafka, Spark)
 
 
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 Nice to Have
 
 
 
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 Exposure to adtech, gaming analytics, or digital marketing intelligence.
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 Familiarity with retrieval-augmented generation (RAG) or fine-tuning for domain-specific insights.
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 Experience with cloud AI/ML services (GCP Vertex AI, AWS Sagemaker, Azure ML).
 
 
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 Exposure to GenAI and LLMs for applied use cases (e.g., automated report generation, text summarization of campaign insights, anomaly explanation, or predictive storytelling).
 
 
 
 
 🎁 Why GreedyGame?
 
 
 
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 Opportunity to work on products used by millions &ndash; see: Pubscale
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 Ownership from Day 1 &ndash; shape architecture, strategy, and key decisions
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 Learning stipend for books, courses, and conferences (we love curious minds!) internal blogs
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 Flexible hybrid work setup &ndash; split time between our Bangalore HQ and remote work
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 Comprehensive benefits &ndash; health insurance, PTO, parental leave, and more
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 A high-growth, inclusive, and engineering-led culture that supports experimentation and impact
 
 
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 Skills: sql,mlops,data,a/b testing,genai,forecasting,python,prediction
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Data Scientist

Join GreedyGame and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

GreedyGame

ABOUT_COMPANY

Data Scientist