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Data Scientist

Job in Dallas, Dallas County, Texas, 75215, USA
Listing for: Southern Glazer's Wine and Spirits
Full Time position
Listed on 2026-07-29
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933.

Southern Glazer’s is proud of its well-earned positive reputation, continually achieving accolades for our outstanding workplace culture. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging.

As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more.

By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people.

Overview

The Data Scientist plays a role in shaping the future of business by developing algorithms and models that forecast trends and translate business needs into actionable analytics for executive decision-making. By conducting large-scale experiments, Data Scientists address complex business questions and uncover hidden relationships within extensive datasets. Data Scientists proactively mine data warehouses to identify trends and generate insights for leadership, employing statistical analysis and visualization techniques such as hierarchical clustering, t-SNE, and PCA on diverse datasets.

Primary Responsibilities
  • Gather data from various sources and ensure its quality and integrity.
  • Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns, spot anomalies, and check assumptions.
  • Build predictive models using statistical and machine learning techniques.
  • Create visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytelling.
  • Work with cross-functional teams, including engineers, service owners, product owners, product managers, and business stakeholders, to understand data needs and challenges.
  • Prepare reports and presentations to convey insights and recommendations.
  • Stay updated with the latest tools, techniques, and industry trends in data science and bring ideas to the table for how to improve the use of data and analytics.
  • Design and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planning.
  • Utilize analytical tools and hypothesis-driven analysis to enhance machine learning projects.
  • Implement cutting-edge AI techniques to boost data analysis efficiency.
  • Perform data sampling.
  • Continuously monitor the execution and health of models within the process environment.
Additional Primary Responsibilities
Minimum Qualifications
  • Bachelor's degree in mathematics, Statistics or Computer Science or related field; master's degree preferred.
  • Typically, 3 + years of relevant quantitative and qualitative research, analytics, data science or machine learning experience.
  • Experience and solid understanding of machine learning algorithms and relational databases.
  • Experience with data science modeling, statistics, analytics, business intelligence or data-driven business strategy.
  • Experience managing and delivering complex and technical products.
  • Experience performing statistical analysis and applying visualization techniques.
Physical Demands
  • Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine
  • Physical demands with activity or condition may include walking,…
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