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Über
You will research and develop new ways that use our mass data to build long-lasting relationships for some of the biggest brands in the world, impacting the lives of millions of users
Evaluate and test the tradeoffs between competing machine learning models, methodologies, and architectures
Collaborate daily with the data engineering team, product teams, and other functional areas
About You:
5+ years of experience in a data science role, helping companies innovate products forward using machine learning
Strong knowledge of Machine Learning/Statistical Modeling & Analysis
Professional-level Python knowledge
Strong quantitative background, MA/MS in statistics, mathematics, computer science, economics, or another quantitative field is required
Passionate about leveraging the best of breed technology and eager to learn new skills
You are a great communicator, self-driven, and prepared to work in a fast-paced startup environment
Bonus Points For:
Background in building payment recovery or customer churn ML models
Experience with analysis tools such as Jupyter Notebook or R
Experience working with large data sets using tools such as Spark, BigQuery, Hadoop, etc.
Previous e-commerce experience
Start-up and SaaS experience strongly preferred
If you don’t meet 100% of the qualifications outlined above - that’s okay, nobody’s perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including Ulta, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove’s powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The total compensation range (base + annual bonus) for this role is starting at
$230k+ e
quity.
Sprachkenntnisse
- English
Hinweis für Nutzer
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