Lead Data Scientist

Job Description

Lead Data Scientist (AI & Demand Forecasting)

Location: Remote (U.S.) or Miami, FL

Duration: Long-Term Contract (1+ Year)

Overview

Our client is seeking a highly experienced Lead Data Scientist to support a high-visibility AI-driven demand forecasting initiative within a broader Integrated Business Planning and Finance Transformation program. This is a senior-level, hands-on individual contributor role for someone who can quickly step into a complex production environment and contribute immediately with minimal ramp-up.

This is not a people management position. Instead, we're looking for a technical leader who can independently own sophisticated data science initiatives, influence business decisions, and deliver production-ready solutions that drive measurable business impact.

About the Project

The team is building and enhancing AI-driven demand forecasting capabilities that support large-scale product procurement and operational planning decisions. The initiative is expanding across multiple business units and has significant executive visibility due to its measurable financial impact and continued growth.

The platform processes a wide range of business-critical data, including:

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• Demand forecasting
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• Supply chain and procurement data
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• Inventory and product consumption
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• Purchase orders
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• Revenue forecasts
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• Future operational schedules and deployment planning
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The forecasting ecosystem is already delivering significant business value and cost savings and continues to gain visibility across the organization.

Key Responsibilities

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• Lead end-to-end development of advanced forecasting and machine learning solutions.
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• Translate complex, ambiguous business questions into statistically sound analytical approaches.
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• Evaluate stakeholder requests and recommend alternative solutions when appropriate.
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• Design, build, validate, and deploy production-ready machine learning models.
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• Leverage AI-assisted development tools such as Copilot, Cursor, Claude Code, Codex, or similar tools to accelerate delivery while maintaining quality and accuracy.
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• Work within a large-scale production environment containing numerous interconnected notebooks, pipelines, and models.
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• Assess downstream impacts of model or code changes before deployment.
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• Partner closely with business leaders, data scientists, analysts, and engineering teams to deliver measurable results.
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• Take ownership of critical initiatives and operate with limited oversight.
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Required Qualifications

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• 7+ years of hands-on Data Science, Machine Learning, or Advanced Analytics experience.
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• Strong statistical foundation and deep understanding of predictive modeling techniques.
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• Demonstrated experience delivering complex ML or forecasting solutions from concept through production deployment.
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• Expertise in Python and modern machine learning frameworks.
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• Strong understanding of machine learning model development, validation, and production deployment best practices.
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• Hands-on experience with Databricks in a production environment, including development and deployment of machine learning, forecasting, or advanced analytics solutions using notebooks, workflows, PySpark, and large-scale data processing frameworks.
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• Experience solving complex business problems using data-driven methodologies.
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• Strong ability to communicate technical decisions and challenge assumptions when appropriate.
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• Experience working in large, collaborative production environments with interconnected pipelines and models.
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• Proven ability to balance speed, accuracy, and business impact.
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Preferred Qualifications

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• Demand forecasting
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• Supply chain analytics
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• Procurement optimization
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• Inventory forecasting
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• Revenue management
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• Hospitality, travel, or consumer demand forecasting
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• Financial planning and forecasting
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What Success Looks Like

The ideal candidate can:

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• Quickly understand complex business problems with minimal guidance.
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• Separate good ideas from bad ideas and explain why.
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• Use AI development tools effectively without blindly trusting outputs.
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• Deliver production-quality solutions efficiently.
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• Understand how their work affects broader systems and downstream processes.
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• Operate as a trusted senior technical leader and advisor.
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Team & Culture

You'll join a growing team of Data Scientists, contractors, analysts, and technical partners supporting a critical business transformation initiative.

Candidates should be comfortable working in a collaborative environment and taking direction from technical leaders regardless of tenure or years of experience. Humility, adaptability, and a strong delivery mindset are highly valued.

Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.

EEO:

We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.

Benefits & Perks:

Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.

Pay Disclaimer:

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Application Deadline: October 20th, 2026