Shelf Engine
Senior Data Scientist (ML/Ops)
Shelf Engine, Seattle, Washington, us, 98127
Senior Data Scientist (ML/Ops)
Shelf Engine, United StatesDate Posted: 02 May, 2023Work Location: Seattle, WA, United StatesSalary Offered: $140000 — $180000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableAt Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will be responsible for designing, developing, and maintaining the data pipelines and engineering infrastructure that support data science models at scale. You will also help develop and deploy scalable tools to provide experimentation tracking, model deployment, drift detection, and other model maintenance. In addition, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop and deploy best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.This position is based in Seattle, WA or remote.Responsibilities
Implement cutting-edge tools and technologies that enable model training, registration, deployment, and monitoring at scale.Work closely with Data and Software Engineers to ensure reliability of our live production environment.Provide technical mentorship and expand training to improve data science best practices.Work closely with Product, Operations, and Customer teams to identify problem areas and develop robust, scalable solutions.Research, build, and launch machine learning and advanced statistical models to solve complex problems.Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers.What We Are Looking For In a Candidate
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic.3-5 years industry experience with some combination of:Experience putting models into production or with a live online system.Experience working with big data and standard tooling (e.g. Python, SQL, Spark).Experience with performance monitoring and automated alerting.Experience with production ML tooling (e.g. Databricks, Azure, AWS, or GCP).You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflow.You have experience in advanced machine learning, statistics, experimentation, and optimization.You have a Masters or PhD degree in a STEM field.You are authorized to work in the U.S. for any employer.What Shelf Engine Offers You
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environment.An inclusive work environment that emphasizes each team member’s personal and professional growth.Competitive salary in the range of $140,000 to $180,000 depending on skills and experience.Pre-IPO equity with a four-year vesting schedule.PTO that is unlimited and self-managed for full-time employees.100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependents.Coverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance Program.Optional employee contribution of pre-tax dollars to medical and dependent care FSA accounts.401k plan through Guideline to contribute to your financial future.Seattle only: Company-paid ORCA transit card.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.
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Shelf Engine, United StatesDate Posted: 02 May, 2023Work Location: Seattle, WA, United StatesSalary Offered: $140000 — $180000 yearlyJob Type: Full TimeExperience Required: 3+ yearsRemote Work: YesStock Options: NoVacancies: 1 availableAt Shelf Engine, our mission is to reduce food waste through automation. We harness the power of AI to provide real-time, intelligent forecasting for food retailers, suppliers, and food service companies across the United States. We’re able to drastically reduce the amount of food waste which in turn drives profit for our customers, lowers costs for consumers, and reduces the negative ecological and social impacts of waste.Shelf Engine is searching for a talented Senior Data Scientist to report directly to our Head of Data Science. In this role, you will be responsible for designing, developing, and maintaining the data pipelines and engineering infrastructure that support data science models at scale. You will also help develop and deploy scalable tools to provide experimentation tracking, model deployment, drift detection, and other model maintenance. In addition, you will research, build, and launch new algorithms and solutions to solve complex problems for a rapidly evolving product. The goal is to help Shelf Engine develop and deploy best-in-class machine learning and advanced statistical models to achieve business objectives. If you have a passion for problem solving, working collaboratively with a great team of data scientists and engineers, and making a huge social impact, this may be your dream job.This position is based in Seattle, WA or remote.Responsibilities
Implement cutting-edge tools and technologies that enable model training, registration, deployment, and monitoring at scale.Work closely with Data and Software Engineers to ensure reliability of our live production environment.Provide technical mentorship and expand training to improve data science best practices.Work closely with Product, Operations, and Customer teams to identify problem areas and develop robust, scalable solutions.Research, build, and launch machine learning and advanced statistical models to solve complex problems.Embrace our company principles through inclusive, authentically-kind, and empathetic interactions with our team and our customers.What We Are Looking For In a Candidate
You embrace our company principles: make the first move, make better decisions, be furiously curious, commit and deliver, have empathy, invent solutions, be authentic.3-5 years industry experience with some combination of:Experience putting models into production or with a live online system.Experience working with big data and standard tooling (e.g. Python, SQL, Spark).Experience with performance monitoring and automated alerting.Experience with production ML tooling (e.g. Databricks, Azure, AWS, or GCP).You have worked in a production environment and can incorporate testing, monitoring model performance, Git, and Airflow into your workflow.You have experience in advanced machine learning, statistics, experimentation, and optimization.You have a Masters or PhD degree in a STEM field.You are authorized to work in the U.S. for any employer.What Shelf Engine Offers You
A unique opportunity to join a fast-growing sustainability startup early on, making a meaningful impact on the team as well as the environment.An inclusive work environment that emphasizes each team member’s personal and professional growth.Competitive salary in the range of $140,000 to $180,000 depending on skills and experience.Pre-IPO equity with a four-year vesting schedule.PTO that is unlimited and self-managed for full-time employees.100% employer-paid premiums for medical, dental, and vision insurance for employees, and 50% covered for eligible dependents.Coverage for life insurance, short- and long-term disability, and access to a robust Employee Assistance Program.Optional employee contribution of pre-tax dollars to medical and dependent care FSA accounts.401k plan through Guideline to contribute to your financial future.Seattle only: Company-paid ORCA transit card.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.
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