24 Apr
Data Scientist
Delaware, Wilmington , 19801 Wilmington USA

Vacancy expired!

Data Scientist-Ecommerce Supply Chain ExperienceThis Jobot Job is hosted by: Heather BurnachAre you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.Salary: $140,000 - $165,000 per year

A bit about us:We launched over a decade ago with a simple mission: use tech to combine an unparalleled level of customer service with the fastest delivery in the promotional product blank apparel industry. We're more than a t-shirt company; we're a support system for the creator + creator economy, home hobbyist, the small business owner, and more. Today, we help hundreds of thousands of small businesses build their vision from scratch. And we're hiring! Our multicultural team of 100 is seeking go-getters, technologists, and customer-centric individuals. We are looking for a motivated and talented Senior Data Scientist to help us attack a growing backlog of projects with strategic implications for the business. We are a rapidly growing eCommerce company and are looking for people who are interested in using their experience to help us serve our customers. We need a generalist who isn't intimidated by SQL, deploying production code, or presenting their work to executives.

Why join us?Medical, Dental and Vision401kPTODiscount on apparel EquityAnnual Bonus

Job DetailsYou will have the opportunity to work across the organization on a range of use cases, both operational and customer-facing, collaborating with key decision-makers in all areas of the business. Potential projects range from ranking and recommendation to revenue, transaction and product mix forecasting, management of profit margins and predicting customer lifetime value. As part of a small but growing company with terabytes of data, you will have the opportunity to make a big impact and be expected to contribute on day one. As a member of a close-knit and high-functioning team, you'll have the opportunity to work with people who will help you learn and grow, with the expectation that you'll help us do the same. The Role: Provide insights for decision-making through the use of ML, statistical modeling, and descriptive analytics. Train models and build data pipelines, working with engineering (or not!) productionalize and deploy your code. Maintain and monitor deployed models/analytics, owning their performance long term Perform regular reporting of some key metrics as a part of advanced business intelligence support to functional areas (e.g. through dashboards and automated reports) Develop and perform preliminary exploratory analysis with data stored in Amazon Redshift, collected through REST APIs, and other unstructured data. About you: Master's degree or higher in a quantitative field (Computer Science, Statistics, Mathematics, etc) or equivalent professional or experience 4+ years of experience in predictive modeling, data science, and analytics Expertise in Python and SQL are a must Experience with (and a lack of intimidation of) writing and speaking about technical concepts to mixed audiences (including executives) and giving data-rich presentations Our ValuesGood People: We trust our team and customers to be genuine, kind, hardworking people. We treat each other with empathy, fairness, and grace, no ego, no hidden motives.Always Evolving: We get better as a company and individuals with day-by-day improvements. If we're not making mistakes, we're not innovating, so we test, refine, and prove our ideas quickly.Forthright: Honest, straightforward, open communication and feedback move us all forward. We're direct, but with heart, to help us all learn and grow.Relentless: When it comes to service, innovation, and a flawless experience, we are completely, totally relentless. If a customer is dissatisfied, we feel it acutely and act swiftly to remove the root cause.Ownership: Having an entrepreneurial spirit is key. We take the initiative to identify problems, discover solutions, advocate for new ideas, and empower others to do the same.Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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