Data Scientist (Marketing)

Key Skills: Pyspark, Python, Pytorch

Roles and Responsibilities:

• Develop and deploy predictive and trigger/event-based models for targeted marketing communications.
• Use online/offline transaction data, demographics, and behavioral signals to build intelligent audience segments.
• Lead the design and execution of machine learning models to deliver business outcomes.
• Collaborate with Marketing, Engineering, and Architecture teams to deliver scalable solutions.
• Shape and manage the Data Science backlog in collaboration with stakeholders.
• Explore and implement new data science methodologies and technologies.
• Translate complex analytical outputs into actionable business insights and recommendations.
• Visualize data insights using tools such as Tableau, Power BI, or Plotly for stakeholders.
• Mentor junior data scientists and contribute to a high-performing analytics culture.

Skills Required:

Required Skills & Competencies:

• Strong enthusiasm for data science and staying updated with the latest industry trends.
• Proven experience applying analytics and ML techniques to solve business problems.
• Ability to clearly articulate complex data insights to both technical and non-technical stakeholders.
• Strategic thinker with a strong customer-centric approach.
• Excellent analytical, problem-solving, and documentation skills.
• Strong verbal and written communication skills.
• Ability to collaborate across teams and influence business decisions.
• Self-driven with the ability to manage multiple tasks and priorities independently.

Technical Proficiency:

• Languages/Tools: Python, PySpark, SQL, Spark ML, PyTorch
• Cloud Platforms: AWS (preferred), Azure, GCP
• Version Control: GitHub
• Data Visualization: Tableau, Power BI, Plotly, or equivalent
• AutoML Tools: DataRobot, H2O.ai
• Data Types: Structured, unstructured, and digital marketing data

Experience Required:

• 10+ years of hands-on experience in data science and machine learning roles.
• Proven experience in deploying end-to-end ML models in a business environment.
• Strong background in marketing data, digital data, and analytics landscapes.
• Experience working with cross-functional teams and leading data-driven initiatives.
• Familiarity with enterprise architecture and marketing technology ecosystems.

Desirable Experience:

• Led AI roadmap development and delivery in marketing domains.
• Experience with Adobe Analytics or similar digital marketing tools.
• Identified and implemented process improvements in data science workflows.
• Developed new or enhanced analytic techniques to meet emerging business needs.
• Presented insights effectively to senior stakeholders and executive leadership.

Education

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
• Additional certifications or short-term courses in data science, ML, or cloud platforms are a plus