Staff Data Scientist
New
J
JobgetherAgricultural technology
Based in the United StatesFull-TimeStaff
Salary123,804 - 185,700 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 2 years of relevant experience with a PhD, 3 years with a Master's degree, or 5 years with a Bachelor's degree.
- Required Skills
- Artificial IntelligenceMachine LearningCI/CDDeep Learning
Requirements
- Have at least 2 years of relevant experience with a PhD, 3 years with a Master's degree, or 5 years with a Bachelor's degree.
- Have significant experience developing and delivering production-grade machine learning, deep learning, AI, advanced analytics, or data-intensive software solutions.
- Demonstrate success taking ambiguous ideas from exploration to implementation and measurable business impact.
- Have knowledge of the organization's technologies, products, data platforms, and PAAW datasets.
- Have practical experience using PAAW data to develop features capturing machine, operational, and environmental context.
- Connect technology usage data with conditions including machine configuration, operating practices, field conditions, weather, and terrain.
- Have exploratory data analysis skills and experience with large, complex, or unstructured datasets.
- Have experience designing and conducting product or technology performance evaluations, benchmarks, and evidence-based assessments.
- Have advanced programming skills and knowledge of machine learning, statistics, experimentation, model validation, and performance measurement.
- Have software engineering fundamentals including version control, automated testing, CI/CD, reproducibility, and maintainable code.
- Have experience leading teams or technical workstreams, setting priorities, delegating, and developing team members.
- Have experience working in Agile environments with Azure DevOps, Jira, or equivalent platforms.
- Be proficient with AI-assisted development tools, including GitHub Copilot, coding agents, and LLM-based assistants, and be able to validate their outputs.
- Have a bachelor's degree in a relevant technical discipline or equivalent professional experience; an advanced quantitative or applied AI/ML degree is highly preferred.
- Have strong written and verbal communication skills for presenting technical assessments and recommendations to senior stakeholders.
Responsibilities
- Lead a sub-team of data scientists, set priorities, allocate responsibilities, and provide technical guidance.
- Define strategies for evaluating machines, precision technologies, automation, autonomous capabilities, and digital products.
- Design and conduct structured technology evaluations and benchmarks using repeatable methodologies and measurable outcomes.
- Take projects from problem framing and data exploration through prototyping and scalable solutions.
- Develop machine learning models, analytical solutions, and data pipelines to assess real-world technology performance.
- Use PAAW datasets to engineer features capturing machine, operational, and environmental context.
- Conduct exploratory data analysis to identify data quality issues, patterns, and opportunities.
- Document technology evaluations, performance results, and supporting evidence.
- Collaborate with product, engineering, and business stakeholders and present findings and recommendations.
- Mentor data scientists and engineers through coaching, design reviews, code reviews, and knowledge sharing.
View Full Description & ApplyYou'll be redirected to the employer's site
