Data Scientist

Overview

Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us. The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality.

• Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
• Analyze data, identify anomalies and provide actionable insights to support business partners
• Conduct analyses with high degree of precision and accuracy with readily available tools
• Predict, test and measure organization initiatives to identify impacts to business outcomes
• At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
• Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
• Respond to ad hoc data and analysis requests to support business partners
• Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

• Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
• Work with IT to implement machine learning models into production
• In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
• Continually improve the efficiency/usability of BI capabilities for business users
• Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
• Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
• Develop processes and algorithms to cleanse/standardize/join disparate data sources
• Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

• Bachelor’s Degree in computer science, math or related field required
• Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
• Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
• Experience training and implementing supervised and unsupervised machine learning models
• Strong programming experience, preferably in Python
• Advanced level of experience with databases and writing SQL
• Advanced level of experience with Business Intelligence tools, such as, Power
  
  BI, Tableau, etc.
• Experience with Microsoft Azure and Databricks a plus
• Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
• Familiarity with standard data formats including CSV, JSON, XML, etc.
• Ability to excel in an environment of change, ambiguity, and incomplete information
• Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
• High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
• Proven ability to tell a story through data and communicate effectively with key stakeholders.
• Ability to handle multiple priorities against multiple deadlines
• Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
• Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

• Competitive pay
• Sick time plan that you can use to support you or your immediate families health
• Vacation accrual plan
• Opportunities for career growth
• 15% discount for you and…