Data Scientist - Marketing and Campaign Analytics

Total Exp - 1-2 years

Rotational shift

About the Role:

Key Responsibilities:

• Campaign Measurement & Optimization:

  Design and implement statistical models and machine learning algorithms to evaluate campaign effectiveness, attribution, customer segmentation, and ROI.

• Data Analysis & Insights:

  Analyze large and complex datasets to extract actionable insights, identify trends, and provide recommendations to improve campaign performance.

• Experimentation:

  Develop and execute A/B tests and other experimental designs to assess campaign strategies and inform decision-making.

• Reporting & Visualization:

  Build automated, scalable dashboards and reports to communicate findings and track key metrics for stakeholders.

• Collaboration:

  Partner with marketing, product, and engineering teams to define campaign objectives, data requirements, and success metrics.

• Data Management:

  Ensure data integrity by implementing robust data cleaning, transformation, and validation processes.

• Client & Stakeholder Engagement:

  Present complex analytical results in a clear, concise manner to both technical and non-technical audiences.

Required Skills & Qualifications:

• Masters or Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• 1+ years of total experience in data science, analytics, or similar roles, preferably within retail or marketing analytics.
• Strong proficiency

  in SQL, Python, and advanced MS Excel, Alteryx, UNIX

  ,

  GIT

  ,

  Cloud technologies

  for data manipulation and analysis.
• Hands-on experience with statistical modeling, machine learning algorithms, and experiment design.
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Familiarity with cloud platforms

  (Azure preferred)

  and big data technologies.
• Solid understanding of campaign management concepts, marketing analytics, and measurement methodologies.
• Excellent analytical, problem-solving, and critical thinking skills.