At Climate, our mission is to use technologies to enhance the sustainability and security of our global food value chain. Using field-verified data science models, Climate is shaping the future of sustainable agriculture across 180 million acres worldwide and counting. As the digital farming arm of Bayer Crop Science, we have the benefits and resources of an established organization while offering employees the opportunity to deliver significant individual impact alongside some of the brightest minds in life sciences.
Grounded in our vision, ‘Health for all, Hunger for none’, our diverse team spends their days solving the world’s most pressing challenges through sheer curiosity and dedication. In our learning-oriented and flexible environment, you can find us collaborating in a hybrid model that mixes on-site and remote work.
Our LIFE values—leadership, integrity, flexibility, and efficiency—and our unique focus on health and nutrition demand that we create value for all stakeholders—today, tomorrow, and for generations to come. If you’re hungry to build a meaningful career helping empower farmers with sustainable digital farming systems, keep reading!
The Opportunity:
The Integrated Quality Solutions team, a member of the Science division within Bayer’s Digital Farming Solutions, is focused on developing scientific algorithms that transform geospatial vector data from agronomic machinery into foundational representations of our customer’s activity in their fields.
We are looking for a Data Engineer to support to our team’s development and maintenance of production-quality scientific algorithms and data transformation processes. Our algorithms create various geospatial features from large scale sensor vector data generated from agronomic machinery. This position involves interacting with various functions within the company including Science, Engineering, and Product. Attention to detail, intellectual curiosity, and open communication are key for the success in this role.
Our development approach is centered on deep understanding of our data, the data requirements of the various downstream applications, and the need to have stable, performant software that can process large volumes of data in a short amount of time. You will be backed by a highly motivated group of teammates with diverse skillsets to learn from along the way, and we look forward to learning from you as well!
What You Will Do:
- Support and develop our algorithms running in Production systems that serve various business applications by developing automated validation processes to uncover issues, responding to support requests, investigating potential issues, implementing fixes/improvements, and summarizing findings and recommendations to Engineering, Product, and Science stakeholders
- Continuously improving our processes and tooling to develop, deploy, maintain Production software (e.g. benchmarking/improving code performance, improving CI/CD pipelines, ensuring adequate testing, dependency management for our packages)
- Perform root cause analysis of our agronomic vector data as a part of validating our software. Analyze and communicate unexpected behaviors of our algorithms by understanding how minute variations in the data affect results.
- Collaborate/coordinate with members of your team and outside teams with varied backgrounds to deliver and support our software as a part of larger highly interconnected efforts
- Communicate complex technical information to peers, business partners, and engineers across the company
About You
What You’ll Need:
- B.A/B.S. in Computer Science, Statistics, Mathematics, Engineering or related field with at least 2 years of relevant work experience or M.S.
- 2+ years development experience in Python, including but not limited to experience with Conda, package development, benchmarking/optimizing performance, code data wrangling and visualization libraries (e.g. pandas, matplotlib)
- Basic-to-intermediate statistics knowledge with the ability to efficiently execute root cause analysis, exploratory data analysis, and data summarization
- Experience using git, participating in code review, and software development best practices
Nice To Haves:
- Experience with methods and tools of geospatial data analysis
- Experience working with Apache Spark
- Experience developing and maintaining CI/CD pipelines
- Experience with technologies related to cloud data applications (eg Splunk, AWS)
- Experience improving the efficiency of data pipelines and methodologies to reduce development time
- Agronomic domain knowledge/previous work experience in plant or crop sciences.
What We Offer
- Base salary estimated range between $85,000-$164,000 annually, depending on the hiring location. You may also be offered bonuses, RSUs cash equivalent, or commission.
- Comprehensive health benefits including medical, dental, vision, life, and disability, as well as a Life Solutions Plan covering mental health benefits
- Industry leading 401K match of up to 10%
- Discounted access to Employee Share Purchase Plan program
- Professional growth opportunities including up to $10,000 college tuition reimbursement, access to upskilling platform, leadership training, mentoring and coaching programs, and short-term assignments (domestic and international)
- Yearly $500 WFH stipend for hybrid office employees
Belonging and Accommodations
At Climate, we strive to create inclusive experiences for candidates and employees alike in which a diverse set of perspectives and voices are represented. If this role sounds exciting to you but your experience doesn’t perfectly align with the job description, we still encourage you to apply.
We’re proud to be an equal opportunity employer. This means we actively pursue ways to celebrate our differences and don’t discriminate based on race, religion, color, national origin, ethnicity, gender, sex (including pregnancy), protected veteran status, age, disability, sexual orientation, gender identity, gender expression, or any unlawful criterion existing under applicable federal, state, or local laws.
If you need assistance or an accommodation due to a disability, contact us at [email protected].
Learn more about our team and mission: https://climate.com/careers
