Note: The job is a remote job and is open to candidates in USA. Brooksource is seeking a Senior Data Scientist to support a Modern Sales platform for a Fortune 200 energy client. The role focuses on developing, deploying, governing, monitoring, and enhancing data science, machine learning, AI, and analytical solutions that improve sales decision-making and integrate with enterprise applications.
Responsibilities
- Design, develop, and maintain data science, machine learning, and analytical capabilities supporting the Modern Sales platform
- Partner with sales, product, and technical stakeholders to translate business opportunities and sales processes into analytical use cases and technical solutions
- Develop scalable Python-based analytical and decisioning workflows using PySpark, Pandas, and Databricks
- Build and enhance predictive models, scoring methodologies, recommendation capabilities, segmentation approaches, and other data-driven solutions that improve sales decision-making
- Translate complex business rules and domain logic into maintainable, testable, and production-ready analytical components
- Integrate AI and LLM capabilities into Modern Sales workflows when appropriate while ensuring solutions meet enterprise standards for security, reliability, and responsible AI
- Establish and maintain standards for model governance, validation, monitoring, documentation, data quality, and analytical consistency across the Modern Sales program
- Monitor production models and analytical solutions for performance, accuracy, data drift, anomalies, and other issues that could impact business outcomes
- Partner with data engineering and full-stack development teams to integrate analytical capabilities into customer-facing and internal sales applications
- Participate in Git-based development, code reviews, testing, CI/CD processes, and production deployments
- Troubleshoot production issues involving models, analytical pipelines, data quality, business logic, or application integrations
- Identify opportunities to improve existing models, analytical processes, and decisioning capabilities as the Modern Sales platform expands across markets
- Support testing, validation, releases, and post-production activities for new Modern Sales capabilities
- Create and maintain technical documentation covering models, methodologies, assumptions, dependencies, business rules, and production support procedures
- Provide technical guidance and mentorship to junior data science and engineering resources supporting the program
- Collaborate across product, sales, data engineering, software engineering, and business teams to ensure Modern Sales capabilities are scalable, governed, and aligned with business objectives
Skills
- • Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related field; OR equivalent professional experience
- • 5+ years of professional experience in data science, machine learning, advanced analytics, or a related technical discipline
- • Strong hands-on experience developing production-grade solutions using Python
- • Advanced experience with PySpark and Pandas for large-scale data processing and analytical workflows
- • Hands-on experience working within Databricks or a comparable enterprise data and analytics platform
- • Experience designing, developing, and deploying machine learning models, predictive analytics, scoring models, or decisioning solutions
- • Strong understanding of feature engineering, model evaluation, validation, optimization, and performance monitoring
- • Experience translating complex business requirements and rules into scalable analytical or decisioning solutions
- • Experience working with AI-enabled or Agentic AI systems and integrating AI capabilities into enterprise workflows
- • Understanding of Generative AI and LLM-based capabilities, including prompt/template configuration, structured outputs, and appropriate enterprise use cases
- • Experience integrating analytical solutions with enterprise applications, APIs, and downstream systems
- • Understanding of model governance, data quality, lineage, documentation, explainability, and responsible AI practices
- • Experience with Git-based development, including branching, pull requests, code reviews, and version control
- • Familiarity with Azure DevOps and CI/CD practices for deploying and maintaining analytical solutions
- • Experience supporting data science or AI capabilities in a production environment
- • Strong analytical, problem-solving, and communication skills with the ability to communicate technical concepts to both technical and business stakeholders
- • Experience supporting sales, customer analytics, pricing, lead generation, recommendation, or next-best-action solutions
- • Experience with Microsoft Azure and Azure-based data or AI services
- • Familiarity with workflow orchestration technologies such as Azure Data Factory, Airflow, or similar tools
- • Experience building solutions in highly regulated or rules-driven enterprise environments
- • Experience within the energy, utilities, retail energy, or another highly regulated industry
- • Familiarity with Agile software development and product delivery practices
- • Experience mentoring junior data scientists or providing technical leadership across a data science team
Benefits
- A welcoming, collaborative team environment where you will be provided an opportunity to work with the nation’s largest producer of carbon-free energy, getting exposed to next generation energy sources and new technologies while contributing to their overarching mission of transitioning to a carbon-free future through innovative clean energy solutions.
- Health, Dental and Vision benefits
- Weekly pay
- Holiday paid time off
- Sick leave
Company Overview
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