Senior Data Scientist (Commercial Analytics) - IMPACT Technology Recruiting : Job Details

One of the largest environmental services companies is seeking a highly skilled and experienced Senior Data Scientist to join their dynamic team. In this remote role, you will be pivotal in supporting the development and enhancement of commercial analytics initiatives that directly impact their pricing strategies, customer retention, and revenue optimization. You will work with cutting-edge data science techniques to drive the development of advanced pricing algorithms, customer segmentation models, churn prediction models, lifetime value models, and more.

As a Senior Data Scientist, you will be expected to apply your deep expertise in commercial analytics to extract meaningful insights from complex datasets, optimize business processes, and help inform strategic decisions that drive both operational efficiency and revenue growth.

Key Responsibilities:

• Lead the development and implementation of advanced pricing algorithms that maximize revenue and ensure competitive positioning in the market.
• Build and refine customer segmentation models that drive targeted marketing and customer retention strategies.
• Develop and enhance churn prediction models to identify at-risk customers and inform proactive retention efforts.
• Create lifetime value models to help optimize long-term customer relationships and guide pricing decisions.
• Work closely with stakeholders in sales, marketing, and operations to understand business needs and provide actionable, data-driven insights that align with commercial goals.
• Conduct deep-dive commercial analytics, identifying opportunities for revenue growth, cost reduction, and process optimization.
• Leverage statistical, econometric, and machine learning techniques to analyze large, complex datasets and deliver insights that inform business strategies.
• Effectively communicate complex data-driven findings and recommendations to both technical and non-technical stakeholders.

Qualifications:

• A Master's degree or higher in Statistics, Econometrics, Data Science, or a related field.
• At least 7 years of experience in commercial analytics, revenue modeling, customer segmentation, and advanced data science techniques.
• Strong proficiency in data analysis tools and programming languages such as Python and SQL.
• Expertise in machine learning, predictive modeling, and statistical techniques used in commercial analytics and pricing optimization.
• Proven ability to apply data science techniques to drive business outcomes in a commercial setting.
• Experience with customer lifetime value modeling, churn prediction, and revenue forecasting.
• Ability to work with large datasets, perform data wrangling, and generate meaningful insights from complex data.
• Strong problem-solving abilities and the capability to work autonomously in a remote environment.
• Excellent communication skills, with the ability to translate complex technical concepts into actionable insights for non-technical business leaders.

This is a fully remote contract position that is approved until the end of the year with high probability to extend. If this sounds like this role could be a fit please apply!