S&OP Data Scientist
about 3 years ago
Full time role
Redwood City, CA, US
Redwood City, CA, US
Job Description
Impossible Foods is addressing the most catastrophic threats facing humanity: climate change and biodiversity collapse. A global transition to a plant-based food system will turn back the clock on atmospheric CO2 levels, restore natural ecosystems and reverse meltdown in wildlife biomass.
The easiest -- if not only -- way to make our civilization sustainable is to eliminate livestock, the most dangerous technology on Earth. But humans won’t give up meat. So we need to make meat better -- more delicious and more nutritious, without animals as the underlying production technology. That means that making meat sustainably is the most important and urgent problem for the global scientific community.
Impossible Foods' mission is to completely replace the use of animals as a food-production technology by offering consumers everything they currently value about animal products -- and making products that are vastly superior to their animal analogues.
To do this, we are taking a revolutionary scientific and market-based approach. We are inventing efficient, sustainable ways to transform ingredients from plants into meat, fish and dairy foods that deliver all the pleasures and nutritional benefits consumers demand, without the destructive environmental or public health impact.
Our world-class R&D team has been building the know-how and technology platform to produce meat, fish and dairy foods from plants. Impossible Foods is experiencing rapid growth and is resolutely committed to leading all aspects of the plant-based food revolution—from discovery to commercial production. The only thing that will separate Impossible Foods from success and failure is our ability to recruit more world-class experts.
Want to join? Check out the job opening and requirements below:
Data scientist role focused on building a string suite of forecasting analytics, using toolsets (SAS or equivalent), statistical forecasting, ML techniques or equivalent. Responsible for supporting the Demand planning team in building out the required forecasting models, using competitive intelligence, market trends, promo schedules and past product actuals/performance.
The easiest -- if not only -- way to make our civilization sustainable is to eliminate livestock, the most dangerous technology on Earth. But humans won’t give up meat. So we need to make meat better -- more delicious and more nutritious, without animals as the underlying production technology. That means that making meat sustainably is the most important and urgent problem for the global scientific community.
Impossible Foods' mission is to completely replace the use of animals as a food-production technology by offering consumers everything they currently value about animal products -- and making products that are vastly superior to their animal analogues.
To do this, we are taking a revolutionary scientific and market-based approach. We are inventing efficient, sustainable ways to transform ingredients from plants into meat, fish and dairy foods that deliver all the pleasures and nutritional benefits consumers demand, without the destructive environmental or public health impact.
Our world-class R&D team has been building the know-how and technology platform to produce meat, fish and dairy foods from plants. Impossible Foods is experiencing rapid growth and is resolutely committed to leading all aspects of the plant-based food revolution—from discovery to commercial production. The only thing that will separate Impossible Foods from success and failure is our ability to recruit more world-class experts.
Want to join? Check out the job opening and requirements below:
Data scientist role focused on building a string suite of forecasting analytics, using toolsets (SAS or equivalent), statistical forecasting, ML techniques or equivalent. Responsible for supporting the Demand planning team in building out the required forecasting models, using competitive intelligence, market trends, promo schedules and past product actuals/performance.
You Will:
- Collaborate with Demand Planning, IT and systems team to build core statistical models that shape demand, including demand smoothing, market impact assessment, forecast driver / sensitivity analysis
- Work with the Demand planning team to select a suitable toolset (SAS, DemandWorks) to utilize to support forecasting
- Drive the development of forecasting approaches at the product / channel level (SMA, ARIMA, Neural Network, Machine Learning)
- Develop historical sales trend and statistical forecasting models to improve our ability to evaluate and forecast demand. Extract data from multiple sources to analyze demand trends and forecasting
- Perform thorough analysis of resources, correlate data and provide management with effective medium-term planning scenarios
- Ability to disaggregate total forecast into demand drivers such as trend, seasonality, promotional activity, baseline forecast, etc.
- Perform ad hoc analysis and presentations as needed for Senior Management
- Lead projects and initiatives focused on improving productivity and simplifying processes throughout demand planning
You Have:
- Masters/Bachelor’s in Operations, Engineering, Supply Chain, Mathematics, Statistics or similar field
- Minimum 3 years’ of experience.
- Superior analytical skills, with a focus on previous experience with R, SAS, TensorFlow, Python or equivalent
- Attention to detail with ability to understand “big picture”
- Ability to be fluid and adaptable to changing priorities
- Experience in Sales Operations or Demand Planning roles is preferred. International / global forecasting role preferred, with experience in CPG or consumer electronics
- Ability to communicate/present at different organizational levels
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