Data Scientist

Data Scientist

Data Scientist

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

  .