Data Scientist

Flint Valley Corp.; Fresno (CA); On-site; USD 110,000 - 160,000; Full time

Job summary

Flint Valley Corp. in Fresno, CA is seeking a Data Scientist for a full-time role. You will analyze data, develop models, and create visualizations to inform agricultural innovations. Salary is negotiable and the team offers opportunities for professional development.

The role requires a Master’s degree in Data Science or a related field, strong Python/R skills, and experience with ML algorithms and SQL. Applications due November 23, 2026.

Qualifications

• A Master's degree in Data Science, Statistics, or a related field.
• Proficiency in Python and/or R.
• Experience with ML algorithms and data visualization.
• Strong SQL and basic big data skills.

Responsibilities

• Develop and implement data-driven solutions to improve agricultural practices and crop yields.
• Analyze large datasets to identify trends, patterns, and insights for business decisions.
• Build and deploy machine learning models to automate and optimize processes.
• Collaborate with cross-functional teams to translate business problems into data science solutions.
• Communicate findings to stakeholders in a clear and concise manner.
• Stay up-to-date with data science and ML advancements and apply them to projects.

Skills

Python

R

SQL

Education

Master's degree in Data Science/Statistics or related

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Flint Valley Corp. seeks a Data Scientist in Fresno, CA, for a FULL_TIME position. The role involves analyzing data to provide insights and support innovative agricultural projects. The salary is negotiable, and applications are due by November 23, 2026.

The Data Scientist will develop and implement data models, perform statistical analysis, and create visualizations to communicate findings. You'll collaborate with cross-functional teams to identify trends and patterns in data.

The Data Scientist will work in a team environment within Flint Valley Corp.'s Fresno, CA office. The workplace is in California, with opportunities for professional growth and development.

The salary for this role is negotiable, allowing candidates to discuss and agree on a figure that reflects their skills, experience, and market value. In addition to the salary, the company offers a comprehensive benefits package that includes health insurance to cover medical expenses, retirement plans to help employees save for their future, and opportunities for professional development to enhance their skills and advance their careers. The position offers a competitive package that is tailored to the candidate's experience, ensuring that they are rewarded appropriately for their contributions and are provided with the resources they need to succeed in the role.

Candidates must have a Master's degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning algorithms and data visualization tools is essential.

The application deadline is set for November 23, 2026.

What You Will Do:

• Develop and implement data-driven solutions to improve agricultural practices and crop yields.
• Analyze large datasets to identify trends, patterns, and insights that can inform business decisions.
• Build and deploy machine learning models to automate and optimize various agricultural processes.
• Collaborate with cross-functional teams to understand business problems and translate them into data science solutions.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to our projects.

What You Bring:

• A Master's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent practical experience.
• Strong programming skills in Python and/or R.
• Experience with machine learning algorithms and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in SQL and experience with big data technologies like Hadoop or Spark.
• Solid understanding of statistical methods and data visualization techniques.
• Excellent problem-solving skills and the ability to work independently and as part of a team.