Data Scientist at Higg

Location Flexible (US Central Time Preferred) | Fully Remote Role
Who We AreHigg is the sustainability insights platform for consumer goods industries, delivering software and services for measuring, managing, and sharing supply chain performance data. From materials to products, from facilities to stores, across energy, waste, water, and working conditions, Higg unlocks a complete view of a business’s social and environmental impact. Spun out of the Sustainable Apparel Coalition in 2019 as a public-benefit technology company, Higg is the exclusive licensee of the Higg Index, a suite of tools for the standardized measurement of supply chain sustainability.We’re motivated by the opportunity to help customers improve every aspect of the trillion-dollar industries that touch everyone’s lives. We want business to change for good, but in a way that adds up to industry-scale change, because no business can change the world alone and doing just one thing for a positive headline won't change our world fast enough. Today, Higg is trusted by global brands, retailers, and manufacturers to provide the comprehensive intelligence needed to accelerate business and industry transformation.The OpportunityWe currently have an opening for a Data Scientist to join our growing data team of analytics experts. The Data Scientist will be an analytical expert, and will gather, analyze, process, and model large sets of data. They will also work to interpret the results of their analyses and make recommendations for the improvement of our data, product offerings, and business processes. The Data Scientist must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. Passion for sustainability and/or experience with sustainability business data is a plus!Key ResponsibilitiesMine and analyze data from company databases to support optimization and improvement of product development, marketing techniques, and business strategiesWrite programs to automate analyses for internal teamsDevelop tools and processes to monitor and analyze data accuracyIdentify new ways to capture, clean, organize, and analyze dataRequired Qualifications1-3 years of experience in a data science or closely related roleAcademic training in data science, data analytics, computer science, statistics, or other closely related disciplineAdvanced proficiency in Python, R, SQL, or other statistical languagesExperience with visualization tools, such as TableauAdvanced knowledge of statistics and predictive analyticsExperience designing and automating predictive models and algorithms is a plus Working knowledge of machine learning and data modeling is a plusExperience with sustainability business data is a plusPersonal or professional interest in sustainability is a plusBenefitsEnjoy benefits including unlimited PTO, flexible working locations, benefits packaging which includes health (medical, dental, vision) and flexible spending benefits, retirement matching plan, and many other benefits.Be part of a team that includes software engineers, sustainability professionals, business leaders, marketers, designers, artists, number crunchers and more than a handful of farmers! (From backyard mushrooms to multi-acre orchards.)Surround yourself with the kindest, smartest, most enthusiastic and dedicated people you’ll ever meet, who dream big, listen well, learn from their mistakes and when things go wrong, pull together to help each other out.Individuals seeking employment at Higg are considered without regard to race, color, religious creed, sex, national origin, citizenship status, age, physical or mental disability, sexual orientation, gender identification, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state, or local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.