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Entry Level Ai Data Scientist Jobs (NOW HIRING)

SynergisticIT

AI & Machine Learning Engineer

Seattle, WA · On-site

$130K - $156K/yr

Entry-Level AI Programmer -- Learn to Build Useful AI Applications AI is changing how companies ... We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts ...

C3 AI

Data Scientist (Federal)

Virginia, IL · On-site

C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. This role requires US Citizenship Responsibilities:

Procter & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

You will collaborate with Data and AI Engineering teams to productionize these solutions, applying ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Proctor & Gamble

Data Scientist

Cincinnati, OH

$85K - $122K/yr

Your work will also integrate advanced techniques from Generative and Agentic AI to create more ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Tror AI for everyone

Data Scientist

Atlanta, GA · On-site

Senior Data Scientist Job Location: Atlanta, GA (Onsite) Job Type: Contract Note: Notes ... Need someone who has experience with Python programming, NumPy or Pandas and along with Agentic Ai ...

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Entry Level Ai Data Scientist information

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How much do entry level ai data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level ai data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an entry level AI data scientist do?

An Entry Level AI Data Scientist assists in collecting, cleaning, and analyzing data to help build and improve artificial intelligence models. They work closely with senior data scientists to implement machine learning algorithms, prepare datasets, and interpret results. Their responsibilities often include coding in languages like Python, working with data visualization tools, and learning about AI concepts and best practices. This role is ideal for individuals early in their data science careers who are eager to gain practical experience in AI-driven projects.

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

To thrive as an Entry Level AI Data Scientist, a solid grounding in mathematics, statistics, and programming (often with Python or R), alongside a relevant bachelor's or master's degree, is essential. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analysis tools, and cloud platforms is typically required. Strong problem-solving abilities, curiosity, and effective communication skills help newcomers collaborate and translate data-driven insights for stakeholders. These skills enable data scientists to efficiently build models, interpret complex data, and contribute real value to business objectives.

What is the difference between Entry Level Ai Data Scientist vs Data Analyst?

AspectEntry Level Ai Data ScientistData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of AI/ML toolsBachelor's in Statistics, Math, or related field; proficiency in data visualization and SQL
Work EnvironmentDeveloping AI models, machine learning algorithms, programming in Python/RData cleaning, reporting, creating dashboards, analyzing datasets
Employer & Industry UsageTech companies, AI startups, research institutionsBusiness, finance, healthcare, marketing sectors

Entry Level Ai Data Scientists focus on developing AI and machine learning models, requiring programming and AI-specific skills. Data Analysts primarily interpret data, create reports, and visualize information. While both roles analyze data, AI Data Scientists work more on building predictive models, whereas Data Analysts focus on descriptive analytics.

What typical projects might an entry level AI data scientist work on, and how do they contribute to the team?

As an entry-level AI data scientist, you will often be involved in supporting data collection, cleaning, and preprocessing tasks to ensure datasets are ready for model development. You'll also assist in building and evaluating machine learning models, often under the guidance of senior data scientists or engineers. Your work is crucial in providing the foundational analysis and insights that inform larger AI initiatives, and you'll regularly collaborate with cross-functional teams such as software developers, product managers, and business analysts to translate business needs into actionable data science solutions.
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Entry Level Ai Data Scientist jobs near you
Infographic showing various Entry Level Ai 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 $122,738 per year, or $59 per hour.

Lead Data Scientist - Gen AI

State Farm

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 18 days ago

State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,553 frontline employees who took The Breakroom Quiz

237th of 309 rated insurance

Job description

Overview
Being good neighbors - helping people, investing in our communities, and making the world a better place - is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!
HYBRID: Qualified candidates must be residing or relcoate within a 180-mile radius of a hub location listed below will be classified as a Hybrid employee. In a hybrid work arrangement, you will be able to work remotely most of the time, with in-office expectations.
HUB LOCATIONS: Bloomington, IL; Dunwoody, GA; Richardson, TX; or Tempe, AZ
SPONSORSHIP: Applicants for this position are required to be eligible to lawfully work in the U.S. immediately; employer will not sponsor applicants for U.S. work authorization (e.g. H-1B visa) for this opportunity.
Responsibilities
State Farm is seeking Data Scientists with experience in deep learning with Computer Vision and Nature Language Processing (NLP) and GenAI to support the growing demand for data science solutions across the organization. We are looking for talented, motivated individuals who will partner with business areas to help drive results for the enterprise via the development and adoption of AI/ML solutions.
Applicants for this posting will be considered for Lead Data Scientist openings in Enterprise Technology - Data & AI. This area supports AI/ML solution development for Claims, Marketing, and other internal departments. It also hosts centers of excellence for natural language processing, experimental design, generative AI, & data science training/research.
At State Farm, we believe in fostering professional growth and development. As a Lead Data Scientist at State Farm, you will have the opportunity to expand your analytic skill set across multiple development areas. Being a trustworthy consultant to business, you continue to develop and improve your communication skills as you explain technical concepts to your business partners. The diverse range of projects you will work on will refine your knowledge in AI/ML topics, software development practices, and tool development for department use.
Data Science at State Farm:
As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. In this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. This opportunity affords consideration for data scientists who can bring in-demand skills and disciplines to our data science suites. Below are some of the tasks you can expect in the typical day of a Data Scientist:
  • Develop and validate advanced deep learning models and GenAI solutions
  • Provide input into and/or build datasets to support AI/ML solution development
  • Collaborate with other team members on scoping solutions and project decision points
  • Present on technical topics to peers, leadership, and other stakeholders, including non-technical business partners
  • Lead/mentor other data scientists, interns, and other technical work teams
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of best practices
  • Serve as a peer reviewer to other model development teams
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that delivers business outcomes for State Farm's AI/ML portfolio
  • Assess model performance, investigate changes, and perform model updates as necessary.

Why Join Our Data Science Team?
At State Farm, we are dedicated to helping our team members develop to their full potential. As a Data Scientist, you have the unique opportunity to develop both professionally & analytically. You will strengthen your communication skills through interactions with technical and non-technical business partners. Our Data Scientists also embrace staying current with the evolving data science landscape.
The Selection Process:
1. After submitting your application, our recruitment team will carefully review your qualifications. If your profile aligns with our requirements, you will receive an invite to complete a video recording.
2. If selected to move forward, you will have the opportunity to participate in a live video interview with members of our hiring team. This interview focus on roleplaying interactions with a data science business partner and interpreting code and graphical outputs.
3. The next step is another live video interview with members of our hiring team. This interview will provide a chance for us to further assess your technical expertise and suitability for the role.
4. Following the successful completion of the Hiring Team round, competitive candidates may be invited to the final stage of the process: an in-person final loop interview. This round will involve interviews with members of our hiring panel, allowing us to gain deeper insights into your skills and experiences.
Qualifications
  • Completed master's or PhD in an analytical or engineering field such as statistics, computer science, mathematics, nature science (physics, chemistry etc.), economics, data science, quantitative marketing, operations research, industrial engineering, etc., with 3+ years of predictive model building experience
  • Experience with Python, deep learning frameworks (e.g., PyTorch), and fine-tuning open-source Computer Vision and NLP models
  • Experience with GenAI (e.g., LLM and Agentic AI) solution development
  • Experience in end-to-end ML models development for production (i.e., scoping project, design, ground truth collection, training, validation, and monitoring)
  • Experience with IDEs (e.g., IntelliJ, VS Code), Linux terminal, version control and cloud-based tools for ML development (e.g., AWS SageMaker)
  • Solid general coding practice and computer knowledge (e.g., latency vs throughput)
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

Our Benefits
Because work-life balance is a priority at State Farm, compensation is based on our standard 38:45-hour work week!
  • Potential starting salary range: $110,000 - $160,000. Starting salary will be based on skills, background, and experience (High end of the range limited to applicants with significant relevant experience)
  • Potential yearly incentive pay up to 15% of base salary

At State Farm, we offer more than just a paycheck. Check out our suite of benefits designed to give you the flexibility you need to take care of you and your family!
  • Get Paid! On top of our competitive pay, you are eligible for an annual raise and bonus.
  • Stay Well! Focus on you and your family's health with our robust health and wellbeing programs. State Farm pays most of your healthcare premium, and we offer multiple healthcare plan options, including a high deductible plan. All medical plans provide 100% coverage for in-network preventative care, AND you and your family have access to vision, dental, telemedicine, 24/7 mental health professionals, and much more!
  • Develop and Grow! Take advantage of educational benefits like industry leading training programs, top-notch tuition assistance programs, employee resource groups, and mentoring.
  • Plan Ahead! Plan for those big moments in life with benefits like fertility/IVF/adoption assistance, college coaching, national discount programs, interactive monthly financial workshops, free financial coaching, and more. You can also start a savings account or consider financing through our State Farm Federal Credit Union!
  • Take a Little "You" Time! You will have access to our generous time off policies designed so you can plan around holidays, family events, volunteering, or just to take a relaxing day off. With the opportunity to initially earn up to 20 days annually plus parental leave, paid holidays, celebration day, life leave (40 hours/year), bereavement leave, and community service/education support days, there will be plenty of time for you!
  • Give Back! We offer several ways to give back through our Matching Gift Program, Good Neighbor Grant Program, and the Employee Assistance Fund.
  • Finish Strong! Plan for retirement using free financial advisors and a 401(k) plan with company contributions of up to 7% of your salary.

Visit our State Farm Careers page for more information on our benefits, locations, and the hiring process of joining the State Farm team!

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