Data Scientist

Meridian Grove Partners; Fresno (CA); On-site; USD 100,000 - 135,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer match

Professional development opportunities

Job summary

Meridian Grove Partners in Fresno, CA is seeking a Data Scientist to join our team. This full-time role focuses on analyzing large data sets, building predictive models, and delivering data-driven insights to support investment decisions.

You will work with Python, R and SQL, perform data cleaning and visualization, mentor teammates, and contribute across the full data lifecycle from collection to deployment in a collaborative investment environment.

Qualifications

• Master's degree in Data Science, Statistics, or a related field.
• 3+ years of experience in data science or a related field.
• Proficiency in Python, R, and SQL.
• Knowledge of machine learning algorithms and data visualization tools.

Responsibilities

• Analyze large data sets to identify trends and insights
• Develop and implement predictive models to forecast market trends
• Create data visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• Stay updated with emerging trends and technologies in data science
• Mentor junior team members on data science best practices
• Participate in the full data lifecycle, from data collection to model deployment
• Ensure data quality and integrity through rigorous validation processes

Skills

Analytical thinking

Communication

Team collaboration

Education

Master's degree in Data Science, Statistics, or related field

Bachelor's degree in Data Science, Statistics, Mathematics, or related field

Tools

Python

R

SQL

Job description

Meridian Grove Partners, a real estate and venture capital investment firm based in Fresno, CA, seeks a Data Scientist to join our team. This full-time position offers a salary range of $100,000 to $134,885.

As a Data Scientist, you will analyze complex data sets, develop predictive models, and provide insights to support our investment strategies. Your tasks will include data cleaning, statistical analysis, and creating visualizations.

You will work in a collaborative environment with a team of investment professionals in Fresno, CA. Our office provides a supportive and innovative atmosphere for professional growth.

The salary range for this position is $100,000 to $134,885, reflecting a competitive compensation package that acknowledges the responsibilities and expertise required for this role. In addition to the base salary, we offer a comprehensive benefits package that includes comprehensive health insurance coverage, allowing employees to choose from a variety of plans to suit their needs. We also provide a robust retirement plan, offering a generous employer match to help employees save for their future. Furthermore, we are committed to the professional growth of our employees, offering opportunities for professional development, including access to online courses, workshops, and conferences. These benefits are designed to support the overall well-being and success of our employees, enabling them to thrive both personally and professionally.

You should 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 a plus.

Job Responsibilities:

• Analyze large data sets to identify trends and insights
• Develop and implement predictive models to forecast market trends
• Create data visualizations to communicate findings to stakeholders
• Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions
• Stay updated with emerging trends and technologies in data science
• Mentor junior team members on data science best practices
• Participate in the full data lifecycle, from data collection to model deployment
• Ensure data quality and integrity through rigorous validation processes

Job Requirements:

• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field
• 3+ years of experience in data science or a related field
• Proficiency in Python, R, and SQL
• Experience with machine learning algorithms and libraries
• Strong understanding of statistical methods and data visualization tools
• Excellent problem-solving and analytical skills
• Ability to work independently and as part of a team
• Strong communication skills to present findings to both technical and non-technical audiences