Data Scientist Market Mix Modelling

Overview:

Key Responsibilities:

• Conducting data analysis and modeling to understand market trends and customer behavior
• Developing and implementing market mix models to evaluate the impact of different marketing channels
• Collaborating with marketing and sales teams to identify key performance indicators and develop measurement frameworks
• Designing and executing A/B tests to assess the effectiveness of marketing campaigns
• Building predictive models to forecast market outcomes and marketing performance
• Applying statistical techniques to analyze large datasets and extract actionable insights
• Communicating findings and recommendations to stakeholders through reports and presentations
• Working closely with crossfunctional teams to integrate market mix models into business decisionmaking processes
• Staying updated with industry trends and best practices in market mix modeling and data science
• Contributing to the development and enhancement of data infrastructure and analytics tools

Required Qualifications:

• Masters degree or PhD in Statistics Mathematics Economics Computer Science or related field
• Proven experience in market mix modeling marketing analytics or related fields
• Proficiency in statistical analysis regression modeling and time series analysis
• Expertise in programming languages such as R or Python for data analysis and modeling
• Strong understanding of machine learning algorithms and techniques
• Ability to manipulate and analyze large complex datasets using SQL Hadoop or similar tools
• Excellent communication and presentation skills for conveying complex datadriven insights
• Experience with data visualization tools such as Tableau or Power BI
• Knowledge of marketing principles and concepts to interpret and contextualize modeling results
• Detailoriented approach with a focus on accuracy and reproducibility of results
• Proven ability to work effectively in a fastpaced dynamic environment and manage multiple priorities
• Strong problemsolving skills and a strategic mindset for leveraging data to address business challenges
• Experience in collaborative teamwork and crossfunctional project management
• Understanding of data privacy and compliance regulations in relation to market data analysis

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