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Data Scientist, Machine Learning

Ever.Ag

United States

Remote

USD 60,000 - 100,000

Part time

Yesterday
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Job summary

An innovative firm is seeking a part-time Data Scientist specializing in Machine Learning to enhance agricultural tech solutions. This role involves training ML models, working directly with clients, and utilizing data pipelines and ETL processes to deliver insights that improve efficiency in the agriculture sector. With a commitment of 20 hours a week, you'll collaborate with a team of professionals to implement advanced analytics and contribute to projects that support dairy, livestock, and crop management. If you're passionate about leveraging data for impactful solutions, this opportunity is perfect for you.

Qualifications

  • 2+ years of experience in machine learning and forecasting models.
  • Hands-on experience with SQL and Python for data analysis.
  • Ability to build and design data pipelines iteratively.

Responsibilities

  • Build ML components for the Data Science application platform.
  • Utilize statistical analysis to identify trends in customer data.
  • Collaborate with teams to deliver high-value SaaS products.

Skills

Machine Learning
Statistical Analysis
SQL
Python
Data Pipeline Design
Data Manipulation

Education

Bachelor's Degree in Data Science
Master's Degree or Ph.D. in relevant field

Tools

GitHub
AWS

Job description

Join to apply for the Data Scientist, Machine Learning role at Ever.Ag.

Internal Job Title: Data Scientist I or II
Reports To: Senior Data Scientist
FLSA Status: Hourly, Non-Exempt, Part Time
Location: Remote
External Job Title: Data Scientist, Machine Learning | Part Time

Position Summary

The Data Scientist ML, part-time role will work on training ML models using data pipelines, Extraction Transformation Loading (ETL) processes, and data integration. This role will also deliver excellent customer experience by working directly with clients and customers. The role requires a commitment of 20 hours a week.

Key Responsibilities

  1. Projects involving machine learning (ML) models in application areas, estimating performance gains, and building cases for further development.
  2. Build machine learning components for the Ever.Ag Data Science application platform.
  3. Help configure and deploy ML models in customer implementations.
  4. Support pre-existing customer implementations.
  5. Utilize statistical analysis to identify trends in customer and market data.
  6. Collaborate on project data requirements, gather and validate information, and apply judgment and statistical tests to devise problem-solving actions.
  7. Perform tests to ensure the accuracy of the models.
  8. Work with existing tools and modeling techniques to solve problems. Collaborate with a team of professionals to deliver high-value SaaS products.
  9. Report to customer leadership teams on solutions and assist with decision-making.
  10. Potential travel to customer sites.
  11. Other duties as assigned.

Qualifications

  • Bachelor's or higher degree, preferably master's or Ph.D., in a relevant field (e.g., Data Science, Computer Science, Engineering, Statistics). PhD candidates are welcome.
  • Typically, 2+ years’ experience in building machine learning and forecasting models for academic or enterprise applications.
  • Experience implementing various modeling approaches/techniques in machine learning.
  • Experience manipulating and preparing large datasets for advanced analytics.
  • Ability to conceptualize, design, and build data pipelines iteratively.
  • Hands-on experience with SQL, Python, GitHub.
  • Familiarity with code and programming concepts.
  • Collaborative, open, and respectful working style.
  • Familiarity with cloud technologies such as AWS is a plus.

Competencies for Success

  • Excellent communication skills—clear articulation tailored to the audience.
  • Strong analytical and critical thinking skills—attention to detail, problem resolution.
  • High integrity and quality focus.
  • Math skills—probability, statistical inference.
  • Critical reasoning—problem definition, data collection, conclusion drawing.
  • Action-oriented—proactive problem solving using technical skills.

Who You Will Be Working For

Ever.Ag offers innovative AgTech solutions that support agriculture, food, and beverage supply chains to feed a growing world. Our portfolio supports dairy, livestock, crops, and agribusiness, providing tools and insights for efficiency, sustainability, and strategic operation across the supply chain.

We welcome candidates from all backgrounds to contribute their perspectives. Your success is our success!

Visit our webpage to learn more: News.Ever.Ag and https://www.ever.ag/.

Seniority level
  • Entry level
Employment type
  • Part-time
Job function
  • Engineering and Information Technology
Industries
  • Software Development
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