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Assistant Data Scientist Jobs (NOW HIRING)

Brewer Science

Data Scientist

Rolla, MO · On-site

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 ...

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

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 ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

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 ...

campus4tech

Data Scientist

Manhattan, NY · On-site

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 ...

VTG

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 ...

VTG

Data Scientist

Chantilly, VA

$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 ...

VTG

Data Scientist

Chantilly, VA

$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 ...

VTG

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 LLC

Data Scientist

Madison, WI · On-site

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 LLC

Data Scientist

Madison, WI

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 ...

Benda Infotech

Data Scientist

Chicago, IL

$70K - $100K/yr

As a Data Scientist, you will assist in analyzing complex data sets and delivering actionable insights that drive data-driven decision-making. Your role will involve collaborating closely with cross ...

New

Clarity Innovations

Data Scientist

Fort Liberty, NC · On-site

As a subject matter expert, the Data Scientist will leverage their experience to gather and derive insights from complex data, assist the command with development initiatives, and facilitate digital ...

Vantor

Data Scientist

Reston, VA · On-site

The Data Scientist role focuses on developing accurate, scalable data solutions that provide ... assist with briefings or presentations to technical and non-technical stakeholders. • Support ...

Koantek

Data Scientist

Chandler, AZ

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 ...

Koantek

Data Scientist

Chandler, AZ · On-site

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 ...

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Assistant Data Scientist information

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$46K

$165K

$243.5K

How much do assistant data scientist jobs pay per year?

As of Jul 27, 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.

Is a data scientist job still in demand?

Data scientist jobs remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in programming, statistical analysis, and machine learning tools like Python and R are highly valued, and the role is expected to grow as organizations expand their data capabilities.

Is 30 too late for data science?

Assistant Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is not a barrier if you develop the necessary technical and analytical skills.

Is 40 too late for data science?

Assistant Data Scientists can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated competence and ongoing development in the field.

Can you be a data scientist with no experience?

Becoming a data scientist typically requires some experience with programming, statistics, and data analysis tools like Python or R. Entry-level positions may be available for candidates with strong foundational skills, relevant coursework, or certifications, but most roles prefer prior experience or a related degree.

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 are Assistant Data Scientists?

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:
Assistant Data Scientist jobs near you
Infographic showing various Assistant Data Scientist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Student Assistant - Data Science

Student Assistant - Data Science

Arizona State University

Scottsdale, AZ • On-site

$15.25 - $19.50/hr

Part-time

Posted 11 days ago

Arizona State University rating

7.7

Company rating: 7.7 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

254th of 612 rated colleges and universities

Job description

Student Assistant, Data Science
In the role of Student Assistant - Data Science at ASU Enterprise Partners, you will contribute to the development and deployment of data science and AI solutions that create measurable business value. These may include analyses, predictive models, AI-enabled applications, automations, and other solutions designed to create business value. You will have the opportunity to explore new technologies and approaches, develop practical skills through hands-on experience, and make meaningful contributions to larger data science and AI initiatives with the support of experienced team members.
Your work will focus on developing and supporting data science and AI solutions that create measurable business value. We strive to align assignments with each student's technical background and areas of interest while providing opportunities to build new skills through hands-on experience. Projects may involve activities such as developing and validating queries, evaluating AI-generated outputs, supporting predictive models and deployed solutions, improving analytical workflows, or contributing to other initiatives that advance organizational goals.
Student employees are valued members of the Applied Data Science and Analytics (ADSA) team and have the opportunity to contribute to meaningful initiatives while expanding the technical and professional skills that support future careers in data science, analytics, artificial intelligence, and related fields.
This position requires approximately 20 hours per week. This is a hybrid position, with an expectation that the student works approximately 12 of the 20 weekly hours on-site.
What you'll do
  • Solution Development: Contribute to the development, testing, and refinement of data science, analytics, automation, and AI solutions that support business objectives.

  • Analysis & Evaluation: Assist with data analysis, solution testing, validation, and evaluation activities that support the delivery of effective solutions.

  • Solution Design & Implementation: Support the design and implementation of data-driven and AI-enabled solutions that create measurable business value.

  • Deployment & Integration: Assist with deploying, integrating, testing, and maintaining solutions to ensure they are reliable, scalable, and effective.

  • Collaboration: Partner with members of the Applied Data Science and Analytics (ADSA) team and other stakeholders to support organizational objectives.

  • Technology Application: Use modern data, analytics, cloud, and AI technologies to develop, evaluate, and support solutions.

  • Continuous Improvement: Help evaluate solution performance and contribute to ongoing enhancements based on business needs, feedback, and evolving technologies.

  • Communication: Communicate progress, results, technical concepts, and recommendations clearly to team members and stakeholders.

What you'll need
  • Technical Foundation: Experience with Python, SQL, and other data analysis, or technical tools commonly used in data science, analytics, software development, or artificial intelligence.

  • Analytical Thinking: Ability to evaluate information, break down complex problems, and contribute to data-driven and technology-enabled solutions.

  • Problem Solving: Demonstrated curiosity, critical thinking, and a willingness to learn new concepts, tools, and approaches.

  • Quantitative Reasoning: Comfort working with data and applying quantitative or computational methods to practical problems.

  • Technical Learning Agility: Interest in exploring and applying emerging technologies, methodologies, and tools in support of business objectives.

  • Communication Skills: Ability to communicate technical concepts, progress, findings, and recommendations clearly to both technical and non-technical audiences.

  • Collaboration: Willingness to work effectively as part of a team, contribute to shared goals, and engage constructively with feedback.

  • Adaptability: Ability to work across a variety of projects and responsibilities while balancing competing priorities and evolving requirements.

Relevant qualifications
  • Currently enrolled in a Bachelor's, Master's, or other graduate degree program at Arizona State University in a technical, quantitative, or analytical discipline, or a related field. Must have an expected graduation date of Fall 2027 or later.

  • Has developed foundational knowledge and skills relevant to data science, analytics, software development, artificial intelligence, or related areas through coursework, projects, research, or practical experience.

Preferred education and experience
  • Completion of an internship, research project, capstone, student organization project, or other hands-on experience involving data analysis, software development, artificial intelligence, analytics, automation, or related technical work.

  • Experience contributing to the development, testing, deployment, or support of technical solutions in academic, research, extracurricular, or professional settings.

Preferred skills and abilities
  • Technical Experience: Exposure to programming, data analysis, cloud technologies, artificial intelligence, automation, or related technical disciplines through coursework, projects, research, internships, or personal initiatives.

  • Data & Analytics Experience: Familiarity with working with structured or unstructured data to support analysis, reporting, decision-making, or solution development. Exposure to Google Analytics (GA4) is a plus.

  • Artificial Intelligence Exposure: Exposure to modern artificial intelligence concepts, tools, or applications and an interest in their practical use to solve real-world problems.

  • Cloud & Technology Platforms: Familiarity with cloud-based or distributed computing environments and an understanding of how technology components can be integrated to support scalable solutions. Experience with Google Cloud Platform (GCP) and BigQuery is a plus.

  • Solution Development Mindset: Interest in designing, building, testing, and continuously improving technical solutions that create measurable value.

  • Continuous Learning: Demonstrated enthusiasm for learning new technologies, methodologies, and approaches and applying them to evolving business challenges

Benefits
  • $30 bi-weekly cell phone reimbursement

  • Hands-on experience in a professional environment

  • Professional development plans

  • Opportunity to network with ASUEP leaders and other ASU students

  • Access to LinkedIn Learning and their 8,000+ courses

  • Professional skills workshops

About ASU Enterprise Partners
ASU Enterprise Partners is a nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University's reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty.
ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions.
At ASU Enterprise Partners
We serve
ASU and one another with integrity, trust and compassion
We engage
step up, own it, collaborate
We innovate.
continuously, fearlessly, make decisions and take risks
We care
that everyone feels respected and valued for who they are
ASU Enterprise Partners is an Equal Opportunity Employer

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