Job description

Position Title: Data, Analytics & Business Intelligence - Data Scientist Location: Atlanta Georgia 30339 Duration: 06 Months (Possible Extension/Conversion) ***Due to client requirements this role is only open to USC OR GC candidates*** Must Haves • 8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field. • 3+ years of leadership experience managing teams, programs, or large-scale analytics initiatives. • Deep expertise in machine learning, predictive modeling, statistical analysis, experimental design, and MLOps best practices. • Proven ability to connect complex analytical solutions to business strategy and measurable outcomes. • Experience influencing senior leaders and driving alignment across technical and non-technical stakeholders. • Strong program and project management skills with a track record of delivering complex initiatives from concept through implementation. • Exceptional communication and executive presentation skills, with the ability to simplify complex technical concepts for business audiences. • Experience working in Agile environments and managing multiple priorities in a fast-paced organization. • Demonstrated success leading cross-functional teams and driving adoption of data-driven solutions About the Role We are seeking an experienced Interim Data Science Leader to provide strategic and technical leadership for the Pro Data Science organization during a transitional period. This assignment will serve as the bridge between data science, product, and business teams, ensuring data-driven initiatives align with organizational priorities and deliver measurable business value. • Serve as the primary liaison between Data Science, Product, Sales, Merchandising, and other business stakeholders to align priorities and strategic objectives. • Translate complex business challenges into data science opportunities, defining clear roadmaps, success metrics, and delivery milestones. • Communicate analytical insights, model outcomes, and business impact to executive leadership through clear, actionable storytelling. • Evaluate the adoption, effectiveness, and business value of data science products, models, and analytical solutions. • Establish and manage prioritization frameworks that balance innovation, foundational capabilities, and near-term business impact. • Partner with leadership to evaluate resource allocation, sequencing, and trade-offs across active and planned initiatives. • Conduct technical reviews of machine learning models, statistical methodologies, feature engineering processes, and model evaluation frameworks. • Promote best practices in model governance, explain ability, bias mitigation, validation, monitoring, and performance measurement. • Ensure data science solutions are scalable, reliable, and production-ready through strong technical oversight and quality standards. • Provide program and delivery leadership across existing data science initiatives to ensure successful execution against timelines and objectives. • Remove obstacles, clarify requirements, and align cross-functional teams to accelerate project delivery and business outcomes. About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage) • 401(k) plan (employee contributions only)

Requirements

Must-haves

Position Title: Data, Analytics & Business Intelligence - Data Scientist
Location: Atlanta Georgia 30339
Duration: 06 Months (Possible Extension/Conversion)
Due to client requirements this role is only open to USC OR GC candidates***
8+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related field.
3+ years of leadership experience managing teams, programs, or large-scale analytics initiatives.
Deep expertise in machine learning, predictive modeling, statistical analysis, experimental design, and MLOps best practices.
Proven ability to connect complex analytical solutions to business strategy and measurable outcomes.
Experience influencing senior leaders and driving alignment across technical and non-technical stakeholders.
Strong program and project management skills with a track record of delivering complex initiatives from concept through implementation.
Exceptional communication and executive presentation skills, with the ability to simplify complex technical concepts for business audiences.
Experience working in Agile environments and managing multiple priorities in a fast-paced organization.
Demonstrated success leading cross-functional teams and driving adoption of data-driven solutions
Serve as the primary liaison between Data Science, Product, Sales, Merchandising, and other business stakeholders to align priorities and strategic objectives.
Translate complex business challenges into data science opportunities, defining clear roadmaps, success metrics, and delivery milestones.
Communicate analytical insights, model outcomes, and business impact to executive leadership through clear, actionable storytelling.
Evaluate the adoption, effectiveness, and business value of data science products, models, and analytical solutions.
Establish and manage prioritization frameworks that balance innovation, foundational capabilities, and near-term business impact.
Partner with leadership to evaluate resource allocation, sequencing, and trade-offs across active and planned initiatives.
Conduct technical reviews of machine learning models, statistical methodologies, feature engineering processes, and model evaluation frameworks.
Promote best practices in model governance, explain ability, bias mitigation, validation, monitoring, and performance measurement.
Ensure data science solutions are scalable, reliable, and production-ready through strong technical oversight and quality standards.
Provide program and delivery leadership across existing data science initiatives to ensure successful execution against timelines and objectives.
Remove obstacles, clarify requirements, and align cross-functional teams to accelerate project delivery and business outcomes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningagile

Platform: careers-page
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)