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# Senior Data Scientist

- **Company:** Southern Wine & Spirits of America, Inc.
- **Location:** Hollywood, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Algorithm Design, Data Analysis, Big Data, Relational Databases, Machine Learning, Usage Tracking, Information Technology, Data Analytics
- **Published:** August 30, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3369786750&tx=TT3734TYZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's, master's or PhD degree in mathematics, Statistics or Computer Science or 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/fluent in English.

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, bending, reaching, standing, squatting, and stooping
 * May require occasional lifting/lowering, pushing, carrying, or pulling up to 20lbs

## Description

The Senior Data Scientist is involved in crafting advanced models to predict trends and transform business requirements into actionable insights for executive decision-making. They tackle business challenges and reveal hidden patterns within extensive datasets. Senior Data Scientists guide projects from inception to deployment, ensuring a strong alignment with business objectives while enhancing the efficiency and performance of data processes., * Gather data from a wide variety of sources within IT units 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.
 * Begins to provide strategic insights and recommendations based on data analysis to influence business decisions.


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