Overview
The Data Scientist will play a crucial role in enhancing forecasting and strategic planning within the Mid-Market segment of the energy sector. Working remotely, the contractor will lead efforts to develop predictive models aimed at reducing customer churn, improving sales targeting, and facilitating proactive resource planning. Collaborating with commercial and operational teams, the consultant will translate business challenges into actionable data science solutions, ultimately guiding investment in data science capabilities.
Responsibilities
- Lead a scoping exercise to identify data science solutions for customer churn prediction.
- Develop predictive models for sales forecasting and customer acquisition trends.
- Align operational resources with expected changes in the customer portfolio.
- Engage with stakeholders to gather requirements and communicate findings effectively.
- Prototype solutions that address identified business challenges.
- Coordinate data access and collaboration with internal teams as needed.
- Document methodologies and results to inform strategic decisions.
Requirements
- Proven experience in translating business challenges into data science solutions.
- Ability to work independently with minimal internal support.
- Strong stakeholder engagement skills, particularly with commercial and operational teams.
- Experience in predictive modeling and data analysis techniques.
- Familiarity with Snowflake and AWS-based tools.
- Experience in the energy sector or B2B environments is desirable.