Senior Data Specialist

Brooksource; United States; On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

Weekly pay

Holiday PTO

Sick leave

EEO policy

Job summary

Brooksource is seeking a Senior Data Scientist to support the Modern Sales initiative at a Fortune 200 energy client. The role focuses on building, governing, and productionizing analytics and AI capabilities to power sales decisions across markets.

You will work with data engineers, software developers, and business stakeholders to translate complex requirements into scalable Python‑based solutions using PySpark, Databricks, and ML models, with emphasis on governance, explainability, and

Qualifications

• Bachelor’s degree in data science, CS, math, or related field or equivalent experience.
• 5+ years in data science, ML, or analytics.
• Experience with PySpark and Pandas for large-scale processing.
• Experience with ML model deployment and monitoring.

Responsibilities

• Design, develop, and maintain data science, ML, and analytical capabilities.
• Translate business opportunities into analytical use cases with stakeholders.
• Develop scalable Python-based workflows using PySpark, Pandas, and Databricks.
• Build and enhance models, scoring, and decisioning capabilities.
• Ensure production readiness, governance, explainability, and security.
• Collaborate across product, sales, data engineering, and software teams.
• Participate in CI/CD, testing, and production deployments.

Skills

Python

PySpark

Pandas

Databricks

Machine learning

Production analytics

Git

CI/CD

Communication

Education

Bachelor's degree in data science / related field

Tools

Azure DevOps

Airflow

SQL

Docker

Job description

Brooksource is seeking a Senior Data Scientist to support the Modern Sales initiative at one of our largest Fortune 200 energy clients. Modern Sales is a strategic transformation program focused on modernizing the energy sales process through advanced analytics, data-driven decisioning, and AI-enabled technology. The platform enables sales teams to leverage customer, market, and operational data to improve decision-making, identify opportunities, and deliver more effective customer interactions.

As the Modern Sales platform continues to scale across markets, the Senior Data Scientist will play a critical role in the development, enhancement, governance, and production support of the analytical and AI capabilities that power the platform. This individual will work closely with business stakeholders, data engineers, software developers, and technical leadership to translate complex sales requirements into scalable analytical solutions and ensure models and decisioning capabilities remain accurate, reliable, explainable, and production ready. This is a hands‑on senior‑level role requiring strong expertise in Python, Databricks, data science, machine learning, and production analytical systems. The ideal candidate will be comfortable operating beyond traditional model development and taking ownership of solutions throughout their lifecycle, including requirements definition, development, validation, deployment, monitoring, governance, and continuous improvement.

Requirements

• 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
• 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

Preferred Qualifications

• 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

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.

What’s in it for you?

• 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.
• Eight Eleven group offers Health, Dental and Vision benefits, weekly pay, holiday paid time off and sick leave.
• Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.