Data Scientist

1 day ago

Noida, Uttar Pradesh, India RateGain Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Data Scientist

We are seeking a
Data Scientist
with around 3 years of experience to join our analytics and machine learning team in the Ad Tech domain. In this role, you will apply statistical and machine learning techniques to improve campaign targeting, audience segmentation, and recommendation systems. You will collaborate with engineers, analysts, and product teams to transform data into insights and deploy models that directly impact business outcomes. This position is ideal for someone eager to take ownership of end-to-end projects while continuing to expand their expertise in advanced machine learning and applied statistics.

Key Responsibilities

  • Develop and deploy
    machine learning and statistical models
    to solve business problems in advertising and marketing.
  • Conduct
    exploratory data analysis (EDA)
    to identify trends, patterns, and actionable insights.
  • Design and run
    experiments (e.g., A/B testing)
    to evaluate impact and validate hypotheses.
  • Work with engineers to
    build and maintain scalable data pipelines
    that support modeling and analytics.
  • Communicate results effectively through
    dashboards, visualizations, and presentations
    .
  • Stay up to date with new techniques in
    machine learning, causal inference, and recommendation systems
    and apply them where relevant.

Required Skills & Qualifications

  • Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Physics).
  • ~3 years of experience applying
    machine learning and statistical methods
    in a professional setting.
  • Strong proficiency in
    Python or R
    and
    SQL
    .
  • Experience with ML frameworks such as
    scikit-learn, TensorFlow, or PyTorch
    .
  • Hands-on knowledge in at least one of the following:
    A/B testing, causal inference, NLP, or recommendation systems
    .
  • Strong problem-solving, analytical, and communication skills.

Nice-to-Have

  • Prior experience in
    Ad Tech, digital marketing, or related industries
    .
  • Familiarity with
    big data and distributed systems
    (e.g., Spark, Databricks, GCP).
  • Experience with
    time series forecasting
    or
    advanced NLP techniques
    .

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