Key Responsibilities <\/span><\/span><\/b><\/span><\/span>
<\/p>

• Statistical Modeling<\/span><\/span><\/b><\/span><\/span> : Apply quantitative methods to business problems across the studio \u2014 AB testing, forecasting, player segmentation, pricing analysis<\/span><\/span><\/span><\/span>
  <\/span><\/span><\/span><\/span><\/p><\/li>

• Data\-Driven Decision Support<\/span><\/span><\/b><\/span><\/span> : Translate complex outputs into clear recommendations for UA campaign managers, producers, and studio leadership<\/span><\/span><\/span><\/span>
  <\/span><\/span><\/span><\/span><\/p><\/li>

• Advanced Analytics<\/span><\/span><\/b><\/span><\/span> : Go beyond dashboards and reports \u2014 design experiments, build causal models, and apply rigorous statistical methods to answer the most challenging questions in gaming<\/span><\/span><\/span><\/span>
  <\/span><\/span><\/span><\/span><\/p><\/li>

• Production Models<\/span><\/span><\/b><\/span><\/span> : Take models from prototype to production \u2014 your work needs to run reliably, not just in a notebook<\/span><\/span><\/span><\/span>
  <\/span><\/span><\/span><\/span><\/p><\/li><\/ul>

  
  <\/div>

  Qualifications & Skills <\/span><\/span><\/b><\/span><\/span>
  <\/p>

  
  <\/div>

  Must have:<\/span><\/span><\/b><\/span><\/span>
  <\/p>

  • 5+ years of experience in a quantitative role (Data Scientist, Quantitative Analyst, or similar)<\/span><\/span><\/span><\/span>
    <\/span><\/span><\/span><\/span><\/p><\/li>

  • Strong foundation in statistics and probability \u2014 you understand when and why to apply specific methods, not just which library to import<\/span><\/span><\/span><\/span>
    <\/span><\/span><\/span><\/span><\/p><\/li>

  • Proven forecasting or predictive modeling experience \u2014 time series, regression, or similar approaches applied to real business decisions (not just academic exercises)<\/span><\/span><\/span><\/span>
    <\/span><\/span><\/span><\/span><\/p><\/li>

  • Advanced SQL \u2014 you're comfortable writing complex queries against large data warehouses (we use AWS Redshift)<\/span><\/span><\/span><\/span>
    <\/span><\/span><\/span><\/span><\/p><\/li>

  • Python for data science and model development<\/span><\/span><\/span><\/span>
    <\/span><\/span><\/span><\/span><\/p><\/li>

  • Track record of working independently: scoping problems, choosing approaches, delivering results without step\-by\-step instructions .<\/span><\/span><\/span><\/span>
    <\/p><\/li><\/ul>

    
    <\/div>

    Strong plus (can significantly accelerate your impact):<\/span><\/span><\/b><\/span><\/span>
    <\/p>

    • Experience in free\-to\-play gaming, ad tech, or performance marketing \u2014 the cohort\-based, UA\-driven business model is unique and hard to learn from textbooks<\/span><\/span><\/span><\/span>
      <\/span><\/span><\/span><\/span><\/p><\/li>

    • Hands\-on experience with user acquisition metrics: CPI, ROAS, LTV curves, cohort analysis, attribution models<\/span><\/span><\/span><\/span>
      <\/span><\/span><\/span><\/span><\/p><\/li>

    • Experience deploying models into production pipelines (not just research/notebooks)<\/span><\/span><\/span><\/span>
      <\/span><\/span><\/span><\/span><\/p><\/li>

    • Exposure to cloud data platforms (AWS, BigQuery, or similar)<\/span><\/span><\/span><\/span>
      <\/span><\/span><\/span><\/span><\/p><\/li><\/ul>

      
      <\/div>

      
      <\/div>

      Approach <\/span><\/span><\/b><\/span><\/span>:<\/span><\/span><\/span><\/span>
      <\/p>

      • You care about whether your model actually changed a business decision, not just its accuracy score<\/span><\/span><\/span><\/span>
        <\/span><\/span><\/span><\/span><\/p><\/li>

      • You're comfortable saying "this doesn't need ML, a simple heuristic works better"<\/span><\/span><\/span><\/span>
        <\/span><\/span><\/span><\/span><\/p><\/li>

      • You learn what you need to solve the problem in front of you .<\/span><\/span><\/span><\/span>
        <\/p><\/li><\/ul>

        
        <\/div>

        Location : Bangalore,<\/span><\/span><\/b><\/span><\/span>
        <\/p>

        Work Mode : Hybrid Mode .<\/span><\/span><\/b><\/span><\/span>
        <\/p>

        Garden City Games \u2013 Data Scientist<\/span><\/span><\/b><\/span><\/span>
        <\/p>

        https://www.gardencity.games<\/u><\/span><\/span><\/b><\/span><\/span><\/a>
        <\/p>

        
        <\/div>

        About Us<\/span><\/span><\/b><\/span><\/span>
        <\/h1>

        <\/span><\/span><\/span><\/span>
        <\/p>

        Garden City Games <\/span><\/span><\/b><\/span><\/span>develops free\-to\-play mobile and social games enjoyed by millions of players worldwide. Based in Bangalore, the studio is home to over 100 talented professionals dedicated to creating exceptional gaming experiences across phones, tablets, and desktops.<\/span><\/span><\/span><\/span>
        <\/p>

        Previously known as <\/span><\/span><\/span><\/span>PopReach Games<\/span><\/span><\/b><\/span><\/span>, the company was founded by industry leaders and manages globally recognized IPs such as <\/span><\/span><\/span><\/span>Smurfs\u2019 Village, War of Nations, Kingdoms of Camelot, and Kitchen Scramble<\/span><\/span><\/b><\/span><\/span>, with more than <\/span><\/span><\/span><\/span>400 million lifetime downloads<\/span><\/span><\/b><\/span><\/span>.<\/span><\/span><\/span><\/span>
        <\/p>

        In 2024, Garden City Games became part of the <\/span><\/span><\/span><\/span>Phoenix Games Group<\/span><\/span><\/b><\/span><\/span>, gaining enhanced resources and support while continuing its commitment to innovation, diversity, and inclusion.<\/span><\/span><\/span><\/span>
        <\/p>

        In this role, You will own the predictive and statistical modeling function at a gaming studio with millions of active players .You will work alongside an established analytics team and a senior data engineer, but your focus is different from theirs: you bring the mathematical rigor to turn data into forward\-looking decisions. <\/span><\/span><\/span><\/span>
        <\/p>

        
        <\/div>

        \u200b<\/span><\/span><\/b><\/span><\/span>
        <\/div>

        
        <\/div><\/span>