We pride ourselves on fostering a work environment that is diverse and inclusive. We are a team of collaborators, communicators, technologists and innovators. Creative, fun and hardworking, our team is committed to providing our customers with a great experience. Work/life balance is built into our culture. We give ample time to recharge and enjoy life outside the office. We recognize our accomplishments; we learn from our failures, and we support each other and our customers no matter what. We're looking for people who are passionate about what they do and value hard work and integrity. We invite you to join the Hub!
The BI Data Scientist will be a critical contributor to enabling the CommerceHub Business Intelligence Team to leverage data both derived from CommerceHub’s own platform as well as gathered from third parties. The goal of using this data is to identify opportunities to generate additional company revenue, to detect statistically significant changes in performance that should drive corrective actions and to derive insights for use in industry publications and company marketing materials.
The BI Data Scientist must be an expert in advanced statistics, must be able to work collaboratively with business stakeholders throughout the organization and must have the ability to clearly and concisely convey complex findings in a way that can be easily understood. The BI Data Scientist should also have substantial skills in programming (e.g., R or Python) and database development (e.g., SQL, ETL, etc.). Ideally, the candidate will also have experience in the retail industry.
Responsible for the following:
Work with Business Intelligence analysts to implement impactful and intuitive analytics to external and internal customers on a wide variety of datasets including sales data and supplier performance KPIs
Drive the use of network data in predictive and prescriptive analytics across the company
Conduct research and development both independently and under the advice from company stakeholders
Deliver vetted opportunities for revenue growth to Executives
Collaborate with Product team, Business Intelligence and/or Engineering to implement solutions
Assist in maintaining and refining existing predictive and prescriptive models
Make recommendations on continuous improvement of BI output and processes
Successful candidates for the position must meet the following requirements:
3-5 years of experience, with domain experience in retail strongly preferred
Experience in operations research, mathematics, and/or statistics in an industrial/applied environment
Experience with conducting independent research and development
Professional knowledge of linear programming, discrete optimization, stochastic methods, econometric and other scientific methods and techniques
Must possess strong knowledge of desktop business software, specifically Excel
Working knowledge of ecommerce, supply chain and information systems
Robust analytical, problem solving and organizational skills
Strong attention to detail and level of accuracy
Excellent verbal communication skills
Excellent teamwork and interpersonal skills
Willingness to think on a systemic level
Technical abilities required:
Additional abilities considered a plus:
A robust health and wellness program
Medical, dental and vision benefits
Culture and team-building activities
A 6% 401(k) match
Employee Assistance Program
Career development opportunities
Charitable contribution match per team member
Competitive time off package with front-loaded PTO and paid sick leave
Four weeks paid parental (bonding) leave
A paid volunteer day
Eight company holidays
We are an equal opportunity employer and all candidates from every background will be considered based on skills, experience and other business factors.
EOE, including Disability/Veterans Authorization to work in the United States is a requirement for this role.