1

Assistant Data Scientist Jobs (NOW HIRING)

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model ...

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

Leverage GenAI/Data Assist tools to accelerate data science workflows. * Collaborate with stakeholders to align models with business outcomes. * Build and refine machine learning models under ...

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Data Scientist I supports government and program teams by assisting with data analysis ... Participate in analytic working groups and technical discussions * Assist with maintaining data ...

Data Scientist I supports government and program teams by assisting with data analysis ... Participate in analytic working groups and technical discussions * Assist with maintaining data ...

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation. * Reviews and defines requirements for data science cybersecurity ...

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our ... Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which ...

... Assist with exploratory data analysis and basic statistical assessments • Develop simple ... Data Science, Statistics, Mathematics, Computer Science, or related field • 5-9 years of ...

Data Scientist

Chandler, AZ · On-site

$140 - $190/hr

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. * Work ...

Data Scientist / Senior Data Scientist We are seeking a highly skilled Data Scientist with strong ... Design, develop, and implement Generative AI solutions including chatbots and AI assistants. Work ...

next page

Showing results 1-20

Assistant Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do assistant data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for assistant data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

How does an assistant data scientist typically collaborate with other team members on data projects?

As an Assistant Data Scientist, you’ll frequently work alongside data engineers, senior data scientists, and business analysts to support larger analytics projects. You may be responsible for preparing datasets, cleaning data, and running initial analyses under the guidance of more experienced colleagues. Collaboration often involves regular team meetings, sharing code via version control systems, and providing updates on your progress. This teamwork helps ensure project goals are met efficiently and provides opportunities to learn from others and develop your technical skills.

What is the difference between Assistant Data Scientist vs Data Scientist?

AspectAssistant Data ScientistData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some experienceMaster's or PhD in Data Science, Statistics, or related field; extensive experience
Work EnvironmentSupportive, entry-level team environment, often supervisedIndependent or team-based projects, more responsibility
Employer & Industry UsageEntry-level roles in tech, finance, healthcare, and consultingSenior roles across similar industries, often leading projects

Assistant Data Scientists typically have foundational skills and support data teams, while Data Scientists handle complex analysis and lead projects. The roles differ mainly in experience level, responsibility, and expertise required, with Assistant Data Scientists serving as a stepping stone to becoming Data Scientists.

What are the key skills and qualifications needed to thrive as an assistant data scientist, and why are they important?

To thrive as an Assistant Data Scientist, you need a solid understanding of statistics, data analysis, and programming skills in languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), version control systems like Git, and experience with databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and explain findings to diverse stakeholders. These skills are vital for extracting actionable insights from complex datasets and contributing meaningfully to data-driven decision-making.

What is an assistant data scientist?

Assistant Data Scientists are entry-level professionals who support data science teams by assisting with data collection, cleaning, analysis, and visualization. They help prepare datasets, build simple models, and generate reports under the supervision of senior data scientists. This role offers hands-on experience with data science tools and methods, making it a valuable starting point for those aiming to advance in the field. Assistant Data Scientists typically work in industries like technology, healthcare, finance, and retail, contributing to data-driven decision making.
More about Assistant Data Scientist jobs

What cities are hiring for Assistant Data Scientist jobs?

Cities with the most Assistant Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Assistant Data Scientist jobs?

States with the most job openings for Assistant Data Scientist jobs include:

What job categories do people searching Assistant Data Scientist jobs look for?

The top searched job categories for Assistant Data Scientist jobs are:

Infographic showing various Assistant Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 10 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.