Senior Data Scientist

About the role

Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people—equipping 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 is a family-owned business with deep roots dating back to 1933. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging.

Benefits

• Comprehensive medical and prescription drug coverage
• Dental and vision plans
• Tax-saving Flexible Spending Accounts
• Short- and long-term disability coverage
• Life insurance plans
• 401(k) plan with company match
• Tuition assistance
• Wellness program
• Parental leave
• Vacation accrual
• Paid sick leave

Primary Responsibilities

• Gather data from a wide variety of sources within IT units and ensure its quality and integrity
• Perform Exploratory Data Analysis (EDA) and investigations on organizational data to discover large, high-risk, and/or high-value patterns, spot anomalies and trends, and check and validate assumptions
• Develop more complex and sophisticated models, often involving large datasets and advanced algorithms
• Create visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytelling
• Develop data science projects from inception to deployment, ensuring alignment with business goals
• Guide cross-functional teams in data-driven initiatives, identify opportunities for improvement and data usage, and ensure successful implementation of solutions
• Prepare reports and presentations to convey insights and recommendations
• Provide ideas to improve the efficiency of data processes and model performance
• 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
• Begin to provide strategic insights and recommendations based on data analysis to influence business decisions

Requirements

• Bachelor’s, master’s, or PhD degree in mathematics, statistics, computer science, or a related field; master’s degree preferred
• Typically 5+ 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
• Native-level proficiency/fluency in English

Physical Demands

• Considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine
• May include walking, bending, reaching, standing, squatting, and stooping
• May require occasional lifting/lowering, pushing, carrying, or pulling up to 20 lbs