Data Science Engineer III Consultant

What You'll Be Doing:

• Knowledge of experimental design and testing frameworks like A/B testing, multi-armed bandit testing, etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth, and customer satisfaction.
• Build frameworks to enable effective measurement of experiments at scale.
• Research and build proof-of-concept models utilizing various machine learning techniques and traditional statistical techniques to drive optimal business decisions for various use cases like call-routing and revenue growth through initiatives like driving Walmart+ and other subscriptions.
• Build financial models leveraging survival modeling and other machine learning techniques to drive effective decisions across all base-management initiatives.
• Develop customer segmentation models and response rate models to help in effective targeting of customers across different base-management initiatives.
• Forecast KPIs leveraging time-series forecasting techniques to guide the business on metrics like churn, etc.
• Generate business insights by using various predictive modeling techniques.

Analytics & Data Enablement:

• Synthesize predictive insights into concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D, etc.) to drive successful business outcomes.
• Leverage understanding of customer behaviors, strategic thinking, strong financial acumen, and cross-functional aptitude to build analytical solutions to make the best-informed decisions.
• Work on building either cloud-based predictive modeling solutions (AWS/GCP using PySpark or similar tools) or general predictive solutions depending on the use case.
• Guide the build and enhancement of the Customer Data Platform with a 360-degree view of customer and prospect profiles, interactions, and demographics.
• Enable the team with analytical solutions to evaluate marketing campaign effectiveness and identify areas for optimization.
• Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics.
• Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns.

What We're Looking For:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Predictive / prescriptive modeling experience.
• Experience in SQL, Python (/R), and data visualization tools (Tableau, Qlik, or native Python or other libraries like Plotly/Streamlit, etc.).
• Experience with Microsoft Excel and PowerPoint.
• Experience managing large complex projects involving multiple work streams and stakeholders.
• Strong storytelling to drive recommendations based on the data analysis and articulate tradeoffs and communication plans to senior executives.
• Experience gathering, organizing, and analyzing large amounts of information.
• Experience presenting ideas and content to a variety of stakeholders at various levels.
• Experience working collaboratively with a variety of stakeholders.

Even better if you have any one of the following:

• Ability to translate complex ideas and express them in concise, simple-to-understand ways.
• Ability to take initiative, influence others, and achieve results.
• Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges.
• Ability to present and interact with all levels of management.

Where you'll be working:

In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Skills

Data Science, Modeling, Predictive, Prescriptive, Python, Qlik, R, SQL, Tableau