Sr. Data Scientist, Demand
4 weeks ago
**Sr. Data Scientist, Demand & Inventory Management**
at Wonder New York, NY Wonder is a fast-growing food-tech startup thats raising the bar on the role food plays in peoples lives. Were creating an on-demand dining experience where customers can receive high-quality meals perfectly prepared and served to their doorsteps within minutes. We partner with the best restaurants and chefs across a diverse range of cuisines to offer access to the worlds most delicious foodanytime, anywhere. Meals are prepared in Wonder kitchens and finished by onboard chefs deployed in our customized mobile kitchens. If you join our team, youll work in a supportive and collaborative environment where our culture and our valuesMastery, Compassion, and Courageare taken as seriously as delivering an incredible experience for our customers. Wonder is led by a team of experienced entrepreneurs including some of the most accomplished leaders and operators in the technology, culinary, and logistics industries. Backed by top-tier venture capitalists, were moving quickly to pioneer the future of food.
About the role
This role is responsible for design and optimization of a forecasting model that allows for a network level forecast which accurately predicts daily demand and supply at a micro and macro level across a set of competing mobile assets. You will leverage your experience with statistical analysis, time series methods, machine learning, data visualization, and storytelling to expand the reach and scale of forecasting capabilities. You will also be responsible for exploratory data analysis to identify business and growth opportunities.
* Enhance, develop, and iterate on a forecasting model to accurately predict demand at multiple levels
* Partner with business leaders, data scientists, and product managers to incorporate data models and analyses into business processes
* Use data science to identify opportunities to improve and grow our business
* Be willing to learn, grow, and build with a startup mindset that can also operate at scale
The experience you have
* Master's or PhD in Operations Research, Statistics, Mathematics, Data Science, Data Engineering, or similar discipline
* 5+ years of work experience in statistical modeling, data mining, data analysis, or similar analytics experience.
* Experience with using R, SQL, and Python.
* Experience applying analytical and programming skills against data-intensive and complex modeling or systems development
* Ability to understand business drivers and solve ambiguous and complex problems, with analytical mindset and business judgement.
* Experience managing analytics projects from inception to delivery.
* You enjoy being scrappy in an agile, high growth startup environment that has newly formed processes and systems
* High levels of critical thinking, intellectual curiosity, and comfort with ambiguity.
* Ability to communicate complex system and topics in a clear and concise manner
Benefits
We offer a competitive salary package including equity and 401K with matching. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.
A final note
At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. If you have a disability, please let your recruiter know how we can make your interview process work best for you.
**We look forward to hearing from you We'll contact you via email or text to schedule interviews and share information about your candidacy.**
**Voluntary Self-Identification Questionnaire** We're striving to build a diverse workforce and create an environment that's more enriching, more rewarding, and more innovative, where everyone feels safe to express their opinions, share their viewpoints and ideas, and be their best selves at work. Additionally, the Equal Employment Opportunity Commission (EEOC) requires that we collect certain demographic information about applicants.
We encourage to you to participate in the following survey so we can learn more about the people who want to work with us and track our efforts to hire with a focus on diversity, equity, and inclusion. We must have a variety of perspectives, backgrounds, and experiences at the table in order to make more informed decisions and find elegant solutions for our customers.
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