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Non Union Agriculture Data Science Jobs (NOW HIRING)

AgZen

Senior Data Scientist

Somerville, MA · On-site

AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT ... Build tooling and support non-technical domain experts in understanding perception pipeline ...

Find Data Science

Data Scientist

San Francisco, CA

Stay updated on industry trends and best practices regarding data science methodologies and ... Strong communication skills, with the ability to convey complex data insights to non-technical ...

ATG Entertainment USA

Data Scientist

Manhattan, NY · On-site

Remote (NYC Based office) HOURS: Full-Time, non-union. 40hrs/week COMPENSATION: $80k - $100k (Commensurate with Experience) ABOUT THE POSITION As a Data Scientist, you will develop and improve ...

Bunge Iberica SA

Data Scientist

Chesterfield, MO · On-site

$110 - $150/hr

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Strong SQL skills for data extraction, manipulation, and analysis from relational and non ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

... non-technical stakeholders. * Support cloud-native and hybrid data environments leveraging AWS ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Bunge North America

Data Scientist

Chesterfield, MO · On-site +1

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Strong SQL skills for data extraction, manipulation, and analysis from relational and non ...

Bunge

Data Scientist

Chesterfield, MO · On-site

... Agricultural Economics, Statistics, Computer Science, Quantitative Finance, Business Analytics, or ... and non-relational databases. • Solid understanding of statistical inference, econometric ...

Bunge

Data Scientist

Chesterfield, MO · On-site +1

Minimum MS degree in Economics, Agricultural Economics, Statistics, Computer Science, Quantitative ... Strong SQL skills for data extraction, manipulation, and analysis from relational and non ...

M. A. Mortenson Company

Data Scientist

Minneapolis, MN · On-site

$92K - $138K/yr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive ... Craft & Non-Union Craft working 25+ hours / week) * Medical and prescription drug plans that ...

Mortenson

Data Scientist

Minneapolis, MN

$92K - $138K/yr

Minimum of 1-4 years of experience in data science * Proficiency with data mining, predictive ... Craft & Non-Union Craft working 25+ hours / week) * Medical and prescription drug plans that ...

New

Sia Partners'

NY · On-site

$93.71 - $117.14/hr

... Data Science ... In Sia il team di AI&DS non solo sviluppa e applica le proprie competenze in ambito Artificial ...

Numerator

Director, Data Science

Chicago, IL · On-site

As Director of Data Science , you will lead the team responsible for Numerator's consumer panel ... Communicate complex technical concepts clearly to technical and non-technical audiences * Balance ...

Numerator

Director, Data Science

Chicago, IL

As Director of Data Science, you will lead the team responsible for Numerator's consumer panel ... Communicate complex technical concepts clearly to technical and non-technical audiences * Balance ...

Numerator

Director, Data Science

Chicago, IL

As Director of Data Science, you will lead the team responsible for Numerator's consumer panel ... Communicate complex technical concepts clearly to technical and non-technical audiences * Balance ...

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Senior Data Scientist

Somerville, MA • On-site

AgZen
See more jobs at AgZenexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

About AgZen:
AgZen is a fast-growing precision agriculture company headquartered in Somerville, MA, built on MIT research and focused on one problem: making crop spraying more efficient. Our flagship product, RealCoverage, is the world's first system that measures and controls droplet coverage at the leaf level, giving growers real-time visibility into spray performance and cutting chemical and water use by up to 50% without sacrificing yield.
We are a small, technically deep team working at the intersection of fluid mechanics, computer vision, AI, and real agricultural environments. If you want to build technology with measurable impact on how the world grows food, this is the place to do it.
About the Role
We are looking for a sharp, tenacious, and thorough Senior Data Scientist to join our team. As part of the the perception team, you'll be responsible for uncovering patterns from crop protection data collected from RealCoverage units installed on sprayers all around the world. Along with being a key player in our ML team, you will design dashboards and reports and develop a data-driven recommendation engine that enables further agricultural optimization. This role will be an essential bridge between AgZen's customer success and measurement groups. Strong communication, flexibility, teamwork, the desire to take on different responsibilities and own them will all be essential skills for a successful applicant.
This role is located in Somerville, MA (Boston area) with work required to be in-person.
What You'll Do
  • Perform historical data analysis of spray applications by identifying patterns and analyzing the impact of key factors including input parameters, rates, mixtures, agricultural practices, and environmental conditions
  • Apply advanced statistical, machine learning, forecasting, optimization, and experimentation methodologies to solve complex agricultural data challenges
  • Architect and operationalize machine learning solutions including AgZen's RealCoverage Recommendation Engine
  • Build tooling and support non-technical domain experts in understanding perception pipeline performance and identifying opportunities for pipeline improvement
  • Drive data-centric ML model improvements to achieve critical AgZen milestones
  • Define and implement scalable data quality measures across complex, multimodal data labeling pipelines
  • Contribute to an organization wide data ontology and class structure for perception models
  • Collaborate closely with cross-functional teams of software engineers, machine learning scientists, product specialists, and researchers to design, build, and maintain robust data pipelines grounded in sound data organization, domain knowledge, and careful analysis
  • Communicate technical findings, data characteristics, and limitations clearly and effectively to both internal partners and external collaborators

What We're Looking For
Required:
  • MS or PhD in Computer Science, Engineering, Statistics, Mathematics, Physics, or related field (or BS with equivalent work experience)
  • Proficient using data query languages (SQL/postgreSQL) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code
  • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business.
  • Background in statistical modeling and analysis, including experience making data-driven decisions from physical sensor data
  • Proven experience in the use of the main data-science, analytics, modeling and visualization Python libraries, including machine learning and deep learning
  • Strong data-centric ML development, careful data curation, and the ability to quickly develop agricultural domain expertise
  • Creative, naturally curious, and willing to take intellectual risks
  • Adaptability to different business challenges and data types / sources and to learn and utilize a range of different analytical tools and methodologies
  • Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment

Preferred:
  • Experience with the field of agriculture or related fields such as environmental or life sciences
  • Knowledge of interfacial science, crop science and/or fluid dynamics
  • Experience with data science based on real-world physical sensors data
  • Experience with vision-based ML
  • Prior experience in developing data-driven customer facing recommendation system
  • Experience creating intuitive data visualization tools that make complex data approachable for non-technical users
  • Prior experience in developing machine-learning models relevant to biological or crop protection outcomes
  • Advanced scientific Python (NumPy, Pandas, scikit-learn) and hands-on experience with PyTorch and/or TensorFlow, including training and deploying neural networks
  • Hands-on experience leveraging generative AI approaches for data exploration, model development, or research acceleration

What We Offer
  • The opportunity to make an immediate and visible impact in a fast-growing company
  • Early-employee equity
  • 401(k) with employer matching at 6 months of employment
  • 6 weeks of PTO per calendar year
  • 12 paid holidays
  • Medical, Dental and Vision insurance

The salary range for this position is $150,000 - $180,000 depending on skills and qualifications evaluated on a per candidate basis.

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