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Data Science Assistant Jobs in Fresno, CA (NOW HIRING)

Munich Re

Data and AI Enterprise Architect

Clovis, CA · On-site

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Munich Re

Data and AI Enterprise Architect

Fresno, CA · On-site

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap ... Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ...

Donor Network West

Research Assistant

Fresno, CA

$16.53 - $19.92/hr

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

Donor Network West

Research Assistant

Fresno, CA

$16.53 - $19.92/hr

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

Donor Network West

Research Assistant

Fresno, CA · On-site

$16.53 - $19.92/hr

POSITION SUMMARY The Research Assistant provides an opportunity for intern-level introductory ... Collects and interprets data. * Draws sound scientific conclusions based on data analyses. The ...

Imh

Medical Lab Scientist PRN

Fresno, CA · On-site

Science * Time Management Qualifications: * Bachelor's degree in clinical laboratory/medical ... Need to walk and assist with transporting/ambulating patients and obtaining and distributing ...

Verdantas

Staff Scientist I

Fresno, CA · Hybrid

$50K - $60K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... Prepare documentation, reporting, and compliance records * Assist clients with regulatory ...

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All JobsData Science JobsData Science Assistant JobsData Science Assistant Jobs in Fresno, CA

Data Science Assistant information

What is a data science assistant?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a data science assistant?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

How does a data science assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Data Science jobs in Fresno, CA?

The most popular types of Data Science jobs in Fresno, CA are:

What are popular job titles related to Data Science Assistant jobs in Fresno, CA?

For Data Science Assistant jobs in Fresno, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Assistant jobs in Fresno, CA look for?

The top searched job categories for Data Science Assistant jobs in Fresno, CA are:

What cities near Fresno, CA are hiring for Data Science Assistant jobs?

Cities near Fresno, CA with the most Data Science Assistant job openings:

Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Fresno, CA as of August 2026, with employment types broken down into 5% Internship, 75% Full Time, 16% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Data Production Engineer

Hudson River Trading

New York, NY

Full-time

Re-posted 12 days ago

Job description

Hudson River Trading (HRT) is looking for a Data Production Engineer to join our Data team. Data is at the core of everything we do at HRT; we excel at deriving deep insights from all types of data, allowing us to achieve consistent success in a dynamic market. 

This role is an opportunity to work directly with live trading teams to support one of the largest automated trading systems in the world. You will write automation, explore data, work closely with our research and trading teams, and interact with a variety of external partners such as data providers, brokers, and exchanges. In addition to being a critical part of the trading process, you will have the opportunity to acquire, analyze, and prepare data for quantitative research. 

Responsibilities

  • Data Engineering: Write tools to classify, onboard, and reconcile data. Onboard datasets, explore data, and automate tasks using a modern Python data stack
  • Data Analysis: Parse, analyze, and understand data sets. Perform data reconciliations, validations, and quality checks. Identify and develop new processes within the data request process to enrich data. Assist our researchers in cleaning and featurizing data
  • Data Debugging: Find anomalies in derived datasets and trace the issues back to their source. This can include using a mix of deductive reasoning, technical analysis, and communicating with multiple stakeholders in a data pipeline
  • Production Support: Provide proactive oversight of our data pipeline, handle inquiries from internal customers, and resolve issues under efficient turnaround times

Profile

  • Track record of being detail-oriented and thorough
  • You excel in problem solving and researching large datasets to resolve complex issues
  • You have a collaborative attitude that lends itself to cross-team customers and projects 
  • You thrive in the fast-paced environment of a daily live trading operation 

Qualifications

  • 2+ years of experience in a data engineering/science role OR a degree in data science or a similar discipline 
  • Experience in Python strongly preferred 
  • Experience managing ETL pipelines is a plus
  • Experience with financial datasets (e.g. Refinitiv, S&P, Bloomberg) is a big plus
  • Comfortable with the Linux command line
  • Experienced in at least one SQL dialect (PostgreSQL, MSSQL, MYSQL) and able to use others as needed
  • Able to provide technical support in a production trading environment

Apply