Sr. Data Scientist Job at fairlife LLC, Jacksonville, FL

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  • fairlife LLC
  • Jacksonville, FL

Job Description

fairlife, LLC is a Chicago-based nutrition company that creates great-tasting, nutrition-rich and dairy products to nourish consumers.

With nearly $3B in annual retail sales, fairlife's portfolio of delicious, lactose-free, real dairy products includes: fairlife ultra-filtered milk ; Core Power High Protein Shakes, a sports nutrition drink to support post-workout recovery; fairlife nutrition plan , a nutrition shake to support the journey to better health.

A wholly owned subsidiary of The Coca-Cola company, fairlife, LLC has been recognized by both Fast Company and Nielsen for its industry leading innovation.

To learn more about fairlife and its complete line of products, please visit fairlife.com.

job purpose : The Senior Data Scientist will play a key role in advancing fairlife's vision of establishing a world-class Decision Intelligence ecosystem. This key role entails leading the design, development, and delivery of ML and AI models. The role will drive innovation and excellence in data science capability, empowering fairlife to leverage data-driven insights for enhanced decision-making and operational efficiency.

skills/qualifications required:


  • Minimum of 5 years of relevant work experience in data science or related fields

  • Master's in Data Science, Computer Science, Statistics, Business Analytics, or a related STEM field

  • Extensive experience in data cleaning, exploration, and analysis

  • Proven track record in training, testing, and deploying machine learning models to a production environment

  • Advanced proficiency in Python and SQL for data manipulation, analysis, and model development

  • Expertise in visualizing data or results in reporting tools (Power BI/Tableau) and with Matplotlib/Seaborn

  • Strong proficiency with version control (Git), CI/CD pipelines, and scalable model deployment

  • Exceptional verbal/written communication and data presentation skills, with the ability to effectively communicate with both business and technical teams

  • Extensive experience conducting A/B testing and causal inference

  • Strong ability to handle ambiguity and work in a fast-paced, entrepreneurial environment

  • Experience in manufacturing and supply chain (preferred)

responsibilities:


  • Lead the design, development, and delivery of ML and AI models supporting a world class analytics platform.

  • Collaborate with cross-functional business partners to understand model requirements and deliver impactful solutions

  • Lead the development and optimization of statistical and machine learning models to support strategic business decision-making

  • Design and implement advanced analytics solutions / dashboards to display model results

  • Gather, clean, and analyze large and complex datasets

  • Design and conduct sophisticated experiments and statistical analyses to answer critical business questions

  • Monitor model performance, retrain models as needed, and ensure long-term accuracy and stability

location: Chicago, IL

reports to : Senior Director, Data & Decision Intelligence

Travel: <10 %

exempt vs.non-exempt: Exempt

fairlife, LLC is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All qualified applicants and employees will be given equal opportunity. Selection decisions are based on job-related factors.

In addition to its nondiscrimination commitment, the Company will also provide reasonable accommodation of qualified individuals with known disabilities unless doing so would impose an undue hardship on the Company. If you have a disability and would like to request accommodation in order to apply for a position with us, please email careers@fairlife.com .

#J-18808-Ljbffr fairlife LLC

Job Tags

Work experience placement, Local area,

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