Mars United Commerce is seeking a Director, Data Science to lead their data science team in developing and implementing machine learning and AI models for a major consumer goods client. The role aims to leverage advanced data science techniques to analyze marketing performance, optimize campaigns, and provide actionable insights to enhance marketing effectiveness and drive business growth.
Requirements
- Advanced expertise in machine learning, statistical modeling, big data technologies, and data analysis tools (Python, R).
- Advanced proficiency in SQL with extensive experience in relational, SQL, and NoSQL databases.
- Expert-level experience with BI tools such as Tableau and Power BI.
- Extensive experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
- Proven experience in DevOps or MLOps practices.
- Deep familiarity with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch)
- Demonstrated success in leading marketing analytics methodologies like Multi-Touch Attribution (MTA), Audience Development, Clustering, Markov Chain analysis, etc.
Responsibilities
- Data Modeling, Feature Engineering, Sentiment Analysis, Propensity, Machine Learning, Modeling, CM3, Model Training & Testing, Forecasting, Multi-touch/Data-driven Attribution, etc.
- Develop and optimize machine learning models by processing, analyzing, and extracting data from varying internal and external data sources.
- Identify and engineer relevant features to enhance model performance and accuracy.
- Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models.
- Ensure the accuracy and reliability of data through rigorous QA processes.
- Validate model outputs to ensure they meet business requirements.
- Perform A/B testing to evaluate model performance and impact.
Other
- Candidates must reside in a commutable distance to Mars United Commerce's hub location in Chicago or New York.
- 8+ years of industry experience in a data science/data analysis/statistical analyst role, preferably in the marketing domain.
- Strong proven leadership capabilities to manage and mentor the analytics team, to recruit and retain talent.
- Superior communication skills to convey complex data insights to non-technical and senior stakeholders. Be a confident presenter and clear, persuasive communicator (verbal and written).
- Prior experience managing and mentoring a team, with a proven track record of leadership and employee development.
