Data Scientist

About the Company

Southern Glazer's Wine & Spirits is North America's largest total beverage distributor, a family-owned business with roots dating back to 1933. Recognized as one of Forbes' Top Private Companies, we invest in our people through leading technology, continuous learning, and a supportive workplace culture. We are proud of our positive reputation and accolades for outstanding workplace culture, fostering an environment where employees are valued, supported, and provided opportunities for growth and belonging.

Overview

The Data Scientist plays a key role in shaping the future of the 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. They proactively mine data warehouses to identify trends, generate insights for leadership, and employ statistical analysis and visualization techniques such as hierarchical clustering, t-SNE, and PCA on diverse datasets.

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 improving data and analytics usage.
• 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.

Requirements

• Bachelor's degree in Mathematics, Statistics, Computer Science, or a 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.
• Native-level proficiency/fluency in English.

Physical Demands

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

Benefits

• Comprehensive medical and prescription drug coverage.
• Dental and vision plans.
• Tax-saving Flexible Spending Accounts.
• Disability coverage and life insurance plans.
• 401(k) plan.
• Tuition assistance.
• Wellness program.
• Parental leave.
• Vacation accrual and paid sick leave.