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Associate Data Scientist

About Us

Freeman is a global leader in events, on a mission to redefine live for a new era. With a data-driven approach and the industry’s largest network of experts, Freeman’s insights shape exhibitions, exhibits, and events that drive audiences to action. The integrated full-service solutions leverage a 97-year legacy in event management as well as new technologies to deliver moments that matter.

Summary

We are seeking a trained Associate Data Scientist with a strong foundation in mathematics and business acumen, ideally holding a Math/Statistics major with 3+ years of relevant work experience in either Finance, Operations, Marketing or Data Analytics teams. This individual will leverage analytical, statistical, and machine learning techniques to drive data-driven insights that can facilitate actionable decision-making. The ideal candidate will have at least three years of experience in events / B2B business / retail / rental / tech / fintech categories, enabling them to understand unique business challenges and opportunities in these fast-paced environments.

This position will support our Technology Services team. It is eligible to work a hybrid schedule, generally requiring work in-office 2-3 days per week. The ideal candidate will be based out of any of the following locations:

Dallas, TX
Atlanta, GA

Essential Duties & Responsibilities

Data Collection and Preparation: Gather, clean, and preprocess large volumes of structured and unstructured data from diverse sources.
Advanced Analytics: Apply statistical modeling, and predictive analytics to uncover trends, forecast demand, optimize pricing, and improve customer experience.
Business Strategy Support: Translate complex analytical findings into actionable business insights and recommendations, supporting e-com, marketing, operations, sales strategy and inventory planning.
Collaboration: Work closely with cross-functional teams, including sales, marketing, operations, finance, and data engineering, to create and implement well thought through, accurate and scalable solutions.
Process Automation: Develop and deploy automated data pipelines and reporting tools to streamline analytics workflows and enhance decision speed.
Communication: Present findings to both technical and non-technical stakeholders using clear visualizations, reports, and dashboards.
Continuous Learning: Stay abreast of the latest data science tools, technologies, and industry trends to maintain a competitive edge.

Education & Experience

Bachelor’s degree in Mathematics (or related field) with an MBA preferred.
3+ years of experience as a Data Scientist or similar role in the retail, restaurant, or event industry.
Proficiency in Advanced Excel (Power Pivot, Power Query), Power BI, Python / R and SQL.
Strong quantitative and problem-solving skills, with the ability to interpret complex data and derive business value.
Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical audiences.
Demonstrated ability to lead projects, collaborate with diverse teams, and drive initiatives that deliver measurable impact.
Experience managing analytics projects from conception to implementation, with a focus on delivering business value.

Travel Requirements

Travel up to 25%

What We Offer

Freeman provides benefits that aim to empower our people and their families to thrive mentally, physically, and financially. These are a handful of the types of programs and benefits our full-time people may be eligible for. There may be some variances in specific benefits across regions.

Medical, Dental, Vision Insurance
Tuition Reimbursement
Paid Parental Leave
Life, Accident and Disability
Retirement with Company Match
Paid Time Off

Diversity Commitment

At Freeman, our commitment to diversity and inclusion is helping us to create not only a great place to work, but also an environment where our employees, our customers and our communities around the world can reach their goals and connect with each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status and other characteristics protected by federal, state or local laws.

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