Data Scientist

experienced Data Scientist

Key Responsibilities

• Develop and implement

  Marketing Mix Models

  to measure and optimize marketing effectiveness.
• Apply

  statistical modeling, machine learning, and data analysis

  techniques for business decision-making.
• Work with large datasets, ensuring data accuracy, transformation, and validation.
  
• Deploy and manage models in production using

  MLOps best practices

  .
• Partner with marketing, business, and technology teams to align analytics solutions with business goals.
  
• Present insights and recommendations to stakeholders in a clear and actionable manner.
  

Required Skills & Experience

• 5–8 years

  of experience as a

  Data Scientist / Analytics Professional

  .
• Strong expertise in

  Marketing Mix Modelling

  .
• Proficiency in

  Python and R

  for data science and statistical analysis.
• Experience with

  MLOps tools and frameworks

  for model deployment and monitoring.
• Strong

  stakeholder management, communication, and presentation skills

  .

Good to Have

• Exposure to

  cloud platforms (AWS, Azure, GCP)

  .
• Experience with

  advanced econometrics, time series modeling, or attribution modeling

  .
• Familiarity with

  visualization tools

  (Tableau, Power BI).