Senior Data Scientist

Position Overview

As a Senior Data Scientist, you will partner with internal stakeholders to understand their business needs, dissect challenges, propose quantitative solutions, and develop data‐driven strategies that improve and achieve business objectives.

Location: Working Remote USA

Key Responsibilities

• Build advanced quantitative, statistical, and machine learning algorithms and perform analyses on diverse datasets to identify trends, patterns, correlations/causations, and predict future business outcomes.
• Build and deploy prototype solutions to showcase ideas and proof of concepts, transitioning these prototypes to production according to company standards.
• Perform validation, testing, and documentation of newly developed predictive models while assisting in maintaining existing models and data products.
• Facilitate discussions and effectively communicate with team members and business partners, involving others in decision making for complex issues.
• Advance relevant, informative, and user-friendly insights to help inform and influence strategic decisions across the business.
• Become a subject matter expert and trusted adviser in data science.
• Mentor junior team members and foster an environment of learning and inclusion.

Required Qualifications

• Bachelor's degree in Computer Science, Math, Statistics, Engineering, or a relevant field.
• 2+ years of hands-on experience developing and applying statistical or machine learning predictive methods.
• Proven ability to convey complex analysis results in a clear and concise manner to stakeholders.
• Deep understanding of both supervised and unsupervised statistical and machine learning approaches applied to business problems.
• Proficiency in R and/or Python with a strong grasp of relational data structures and SQL.
• Familiarity with Git for source control management.
• Experience processing large volumes of structured and unstructured data.

Preferred Qualifications

• Master's degree.
• Experience processing large volumes of structured and unstructured data related to syndicated and POS data sources.
• Familiarity with BI/visualization tools such as Tibco Spotfire, Power BI, or Tableau.
• Experience with cloud computing platforms (GCP, AWS, Azure).
• Knowledge of visualization frameworks and web development concepts (JS, HTML, CSS).
• Understanding of Consumer-Packaged Goods (CPG) and Retail industries.

Benefits & Perks

• A culture built on boldness, kindness, and doing the right thing.
• A strong community environment that supports physical, emotional, and financial needs.
• Opportunities to help employees thrive and to deliver on our purpose.
• Commitment to ensuring a workplace for all employees.
• Stay connected with us on LinkedIn.