Shelf Engine
Seattle
11-50 employees
Shelf Engine helps businesses increase sales by accurately predicting the perfect amount of perishable goods to order.
Prior Listings
Data Analyst
Data Analyst
This job is no longer open
At Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for grocery stores, restaurants, and cafes across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for retailers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.
Shelf Engine is searching for talented Data Science Analysts to join our growing team. In this role, you will design, build, monitor, and productionalize sophisticated analyses and models to solve complex problems and support the entire product lifecycle -- ideation, risk and opportunity sizing, measurement, experimentation, monitoring, and causal analyses -- for a rapidly evolving product. The goal is to help Shelf Engine develop and productionalize best-in-class AI models at-scale to achieve business objectives. You’ll support this by applying your expertise in statistics and machine learning alongside your superior business acumen and communication skills, to lead, design, build, and productionalize rigorous and robust analytical methods and solutions.
Your work will drive algorithm development, problem and solution identification, and assess the performance and effects of of numerous models, experiments, human in the loop processes, and difficult-to-quantify pathways and endpoints on an ongoing basis. Your strengths in statistics, machine learning, and quick adaptability to understand business requirements will directly impact of our product -- striking a fine balance between reducing food waste and avoiding understocking situations in the face of the challenging uncertainties of demand, pricing, promotions, supplier capacity, reliability, lead times, inventory optimization, pricing, product nuances, and customer experience.
If you are highly motivated, passionate about digging into data, and want to use statistics and ML to improve the AI product lifecycle, while working collaboratively and making a huge social impact, this is your dream job!
As a Data Science Analyst at Shelf Engine, you will:
- Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers
- Develop, build, and analyze scalable, scientifically rigorous measurement, analyses, models, and outputs to solve complex problems and optimizing for business outcomes
- Design, launch, and analyze A/B tests and experiments to improve the understanding in ongoing evaluation on data at scale
- Research, build, and analyze sophisticated algorithms and models to support the lifecycle - ideation, risk and opportunity sizing, measurement, experimentation, monitoring, and causal analyses - of a rapidly evolving product
- Own the end-to-end experience with data analytics, including querying, wrangling, feature engineering, analysis, visualization, validation, modeling, and reporting findings and actionable insights to internal stakeholders
- Continuously improve the quality, accessibility, and productionalization of our data science analytical capabilities and framework developing tools and pipelines to support modeling, monitoring, dashboarding, experimentation, and reporting
- Work cross-functionally (e.g. Product, Engineering, Operations, etc) to frame problems scientifically and within the business context to identify high impact opportunities, risks, and solutions to drive customer satisfaction and revenue growth
And we think you would make a great Data Science Analyst if you have:
- An MA/PhD in a quantitative field (such as Statistics, Engineering, Economics, Quantitative Social Science, or other related fields), or equivalent experience
- 2+ years of experience outside of an academic setting building end-to-end productionalized models or analyses, ideally working in supply chain, time series, customer behavior, or related areas on real world data
- 2+ years of experience with production-level scripting in Python (e.g., numpy, pandas, statsmodels, scikit-learn), as well as processing, filtering, aggregating large quantities (millions of rows) with data querying languages (e.g. SQL).
- Expertise in statistics and machine learning with the ability to drive clarity on the best modeling or other solution from R&D to implementation and evaluation
- Bonus: Working knowledge of production ML tools (e.g. Airflow, Spark, Databricks, Azure, AWS, Google Cloud, Snowflake)
- Proven ability to translate business problems to data-driven solutions, to think creatively, learn quickly, work independently, and manage ambiguity in a fast-paced environment
- Excellent written, verbal, and interpersonal communication skills
- Collaborate, collegial, eager to learn, and passion for impact
- Authorization to work in the U.S. for any employer
About Us:
At Shelf Engine, you will join an inclusive team of driven, passionate, and caring people hungry for change in an untapped industry. Our founders are well versed in the food industry and have successfully built product and engineering teams. We’re not only solving complex technical problems at scale but tackling key initiatives with large environmental impacts. We're a tight-knit and passionate team that is determined to disrupt a massive industry and leave behind a positive legacy for generations to come.
Shelf Engine is an equal opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This job is no longer open