Lead Data Scientist at The Climate Corporation in San Francisco, CA
Description Lead Data Scientist Are you passionate about leveraging digital tools to improve the productivity and sustainability of modern agriculture? If so, consider joining the Sustainability & Outreach Team within The Climate Corporation. Position Overview:
We are seeking an experienced and multifaceted Lead Data Scientist with applied experience in data science, machine learning, and/or statistics to join our Sustainability & Outreach Team. In this this role you will provide technical oversight and manage a team of scientists to leverage numeric modeling, remote sensing, big data, and cloud computing to address scientific challenges in precision agriculture. The Sustainability & Outreach Team is focused on quantifying and visualizing on-farm sustainable management practices and associated economic returns to drive customer adoption and support enterprise sustainability commitments. You will leverage your data science skills with large, disparate datasets to help our growers better manage key aspects of their operations. In this role you will be accountable for a managing the technical aspects of the Sustainability & Outreach team, working with a broad set of global stakeholders internally and externally to drive program planning & prioritization, and governance. A Lead Data Scientist will have the opportunity to be on the forefront of utilizing and/or developing novel & complex integrated models to track sustainability outcomes. They will play a key role in delivering innovative scientific breakthroughs by applying predictive analytics, risk optimization and statistics to deliver integrated recommendations. They will be leading areas of key research programs. They will work closely with interdisciplinary scientists, domain experts and stakeholders to predict product performance and provide personalized prescriptions for growers. What You Will Do:
Design and prototype models that integrate artificial intelligence techniques, optimization, machine learning, and statistics in order to solve challenging analytics problems influencing farmer decisions using scalable models. Leverage heterogenous data across the growing season(s) (soil, weather, agronomics, equipment, imagery etc.) to elucidate sustainability outcomes. Lead cross-team research projects, collaboratively developing and executing project plans in partnership with multiple stakeholders Implement quantitative, empirical, geospatial statistical methodology to characterize and predict how products will react across diverse farmer fields Write robust, well-documented and well-tested research code and code libraries that adhere to community standards and best practices. Collaborate with team members and across the Digital Farming Solutions and Bayer Crop Science organizations to deliver high-quality, reproducible research. Summarize and communicate actionable insights to relevant stakeholders across multiple disciplines Mentor and coach junior data scientists in modeling approaches Basic
Qualifications:
Post-Doc, PhD +5 years or Masters plus 8 years of experience in Statistics, Mathematics, Physics, Computer Science or a related discipline with a focus on using predictive analytics, artificial intelligence and/or optimization to influence real life decisions Proven track record to develop and lead research projects independently towards successful delivery of business outcomes Excellent Python coding skills for data analysis and modeling, including experience with standard data science packages (NumPy, pandas, matplotlib, seaborn, sklearn) Excellent communication and interpersonal skills and ability to influence a broad range of stakeholders Preferred
Qualifications:
Experience with agricultural sustainability topics Experience with remote sensing, agricultural, and/or large geospatial data Background in Spatial Statistics, Bayesian modeling Experience using tools for big datasets, such as SQL and PySpark. Experience with at least one deep learning model (DNN, RNN, etc.) and framework (TensorFlow, JAX, PyTorch, etc.). Ability to solve and communicate challenging and complex analytical problems in a clear, precise and actionable manner, and a willingness to extend own interests into new fields of research and development Knowledge and applied agricultural science experience and/or agricultural datasets in plant breeding, genetics, physiology or agronomy Passion for writing well-structured, well-tested, maintainable, performant, and well-documented code, with an emphasis and/or experience translating scientific models into code. What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers. We provide competitive salaries and some of the best perks in the industry, including:
Superb medical, dental, vision, life, disability benefits, and a 401k matching program We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development We also hinge our cultural DNA on these five values:
Inspire one another Innovate in all we do Leave a mark on the world Find the possible in the impossible Be direct and transparent
Salary Range:
$150K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
We are seeking an experienced and multifaceted Lead Data Scientist with applied experience in data science, machine learning, and/or statistics to join our Sustainability & Outreach Team. In this this role you will provide technical oversight and manage a team of scientists to leverage numeric modeling, remote sensing, big data, and cloud computing to address scientific challenges in precision agriculture. The Sustainability & Outreach Team is focused on quantifying and visualizing on-farm sustainable management practices and associated economic returns to drive customer adoption and support enterprise sustainability commitments. You will leverage your data science skills with large, disparate datasets to help our growers better manage key aspects of their operations. In this role you will be accountable for a managing the technical aspects of the Sustainability & Outreach team, working with a broad set of global stakeholders internally and externally to drive program planning & prioritization, and governance. A Lead Data Scientist will have the opportunity to be on the forefront of utilizing and/or developing novel & complex integrated models to track sustainability outcomes. They will play a key role in delivering innovative scientific breakthroughs by applying predictive analytics, risk optimization and statistics to deliver integrated recommendations. They will be leading areas of key research programs. They will work closely with interdisciplinary scientists, domain experts and stakeholders to predict product performance and provide personalized prescriptions for growers. What You Will Do:
Design and prototype models that integrate artificial intelligence techniques, optimization, machine learning, and statistics in order to solve challenging analytics problems influencing farmer decisions using scalable models. Leverage heterogenous data across the growing season(s) (soil, weather, agronomics, equipment, imagery etc.) to elucidate sustainability outcomes. Lead cross-team research projects, collaboratively developing and executing project plans in partnership with multiple stakeholders Implement quantitative, empirical, geospatial statistical methodology to characterize and predict how products will react across diverse farmer fields Write robust, well-documented and well-tested research code and code libraries that adhere to community standards and best practices. Collaborate with team members and across the Digital Farming Solutions and Bayer Crop Science organizations to deliver high-quality, reproducible research. Summarize and communicate actionable insights to relevant stakeholders across multiple disciplines Mentor and coach junior data scientists in modeling approaches Basic
Qualifications:
Post-Doc, PhD +5 years or Masters plus 8 years of experience in Statistics, Mathematics, Physics, Computer Science or a related discipline with a focus on using predictive analytics, artificial intelligence and/or optimization to influence real life decisions Proven track record to develop and lead research projects independently towards successful delivery of business outcomes Excellent Python coding skills for data analysis and modeling, including experience with standard data science packages (NumPy, pandas, matplotlib, seaborn, sklearn) Excellent communication and interpersonal skills and ability to influence a broad range of stakeholders Preferred
Qualifications:
Experience with agricultural sustainability topics Experience with remote sensing, agricultural, and/or large geospatial data Background in Spatial Statistics, Bayesian modeling Experience using tools for big datasets, such as SQL and PySpark. Experience with at least one deep learning model (DNN, RNN, etc.) and framework (TensorFlow, JAX, PyTorch, etc.). Ability to solve and communicate challenging and complex analytical problems in a clear, precise and actionable manner, and a willingness to extend own interests into new fields of research and development Knowledge and applied agricultural science experience and/or agricultural datasets in plant breeding, genetics, physiology or agronomy Passion for writing well-structured, well-tested, maintainable, performant, and well-documented code, with an emphasis and/or experience translating scientific models into code. What We Offer:
Our teams are composed of industry experts, top scientists, and talented engineers. The environment is extremely engaging and fast-paced, with dozens of specialties coming together to provide the best possible products and experiences for our customers. We provide competitive salaries and some of the best perks in the industry, including:
Superb medical, dental, vision, life, disability benefits, and a 401k matching program We take part and offer various workshops, conferences, meet-up groups, tech-talks, and hackathons to encourage participation and growth in both community involvement and career development We also hinge our cultural DNA on these five values:
Inspire one another Innovate in all we do Leave a mark on the world Find the possible in the impossible Be direct and transparent
Salary Range:
$150K -- $200K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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