Data Scientist

We are seeking an experienced Data Scientist with a specialization in Market Mix Modelling (MMM) to join our dynamic team. This role is perfect for a professional eager to lead the development of advanced analytical models that drive significant business insights and marketing effectiveness. As a Data Scientist focusing on Market Mix Modelling, you will play a crucial role in shaping our marketing strategies through data-driven approaches.

Key Responsibilities

• Lead the complete lifecycle of Marketing Mix Models (MMM), encompassing data preparation, model construction, rigorous validation, and the translation of complex findings into actionable business recommendations.
• Strategically design and expertly implement a variety of econometric and statistical models, including regression, Bayesian methods, time series analysis, and hierarchical modeling, to accurately measure and predict marketing Return on Investment (ROI).
• Collaborate closely with marketing and business intelligence teams to understand their analytical needs and deliver impactful solutions.
• Continuously research and integrate new methodologies and best practices in marketing analytics and econometric modeling.
• Present complex analytical findings and strategic recommendations to stakeholders in a clear, concise, and compelling manner.

Requirements

• 3 to 9 years of progressive experience in data science, with a strong focus on Market Mix Modelling (MMM).
• Demonstrated expertise in statistical and econometric modeling techniques, including regression analysis, time series forecasting, and Bayesian methodologies.
• Advanced proficiency in programming languages such as Python and/or R for data manipulation, statistical analysis, and model development.
• Proven ability to work with large, complex datasets and transform them into actionable insights.
• Excellent analytical, problem-solving, and communication skills.
• Ability to join within 30 days.

What We Offer

• An exciting opportunity to lead critical analytical initiatives and contribute directly to business growth.
• A collaborative and innovative work environment where your contributions are valued.
• Continuous learning and development opportunities in cutting-edge data science and marketing analytics.
• Competitive compensation package.