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Data Scientist 1 Jobs (NOW HIRING)

State Farm

Data Scientist

Richardson, TX · Hybrid

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

Two Six Technologies

Data Scientist

Arlington, VA · On-site

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

1 point system

Data Scientist

Northborough, MA · On-site

Bachelor's degree in a quantitative field (e.g., Computer Science, Data Science, Information Systems, Engineering) with 4-6 years of handson experience * Experience supporting Power BI or similar BI ...

State Farm

Data Scientist

Bloomington, IL · Hybrid

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

State Farm

Data Scientist

Bloomington, IL · Hybrid

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

Core Interface

Data Scientist

Chantilly, VA · On-site

Data Scientist - TS/SCI with Polygraph Required About the Team At Core Interface, we believe great software is built by small teams of thoughtful engineers working on meaningful problems. Our work ...

State Farm

Data Scientist

Tempe, AZ · Hybrid

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

1 point system

Data Scientist

Redmond, WA · On-site

Knowledge of at least one scripting language * Strong written and oral communication skills ... Desire to be working with data and helping businesses make better data driven decisions. Top 3 Must ...

Capital One

Manager, Data Scientist

Richmond, VA · On-site

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

We're looking for an experienced Data Scientist or Senior Data Scientist to join one of our cross-functional product development teams here at Two Six Technologies. Our teams are building ...

Saxon Global

Data Scientist

Fort Mill, SC · On-site

Saxon Global is one of the fastest growing Inc 500 Companies in the US, providing enhanced IT consulting and engineering solution services. They are seeking a Data Scientist to improve organizational ...

State Farm

Data Scientist

Dunwoody, GA · Hybrid

Come join a #1 team and do some good! Office Locations : Bloomington, Atlanta, Dallas, Phoenix ... Our data science teams also embrace staying current with the evolving data science landscape.

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All JobsData Scientist 1 Jobs

Data Scientist 1 information

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$37.5K

$122.7K

$196.5K

How much do data scientist 1 jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data scientist 1 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 is a data scientist?

Data Scientists are professionals who analyze and interpret complex digital data to help organizations make informed decisions. They use statistical methods, programming skills, and domain knowledge to extract insights from large datasets. Data Scientists often build models, create visualizations, and communicate findings to stakeholders to solve business problems. Their work can impact areas such as product development, marketing, and operations.

What is the difference between Data Scientist 1 vs Data Analyst?

AspectData Scientist 1Data Analyst
Required SkillsStatistical analysis, machine learning, programming (Python/R), data modelingData querying, visualization, basic statistical analysis
Work EnvironmentCollaborates with data science teams, develops models, handles complex datasetsPrepares reports, interprets data, supports decision-making
Common UsageIndustry-wide for predictive analytics and modeling rolesBusiness intelligence, reporting, and descriptive analytics

Data Scientist 1 roles typically require advanced statistical and programming skills, focusing on building models and predictive analytics. Data Analysts mainly handle data interpretation, reporting, and visualization. While both roles work with data, Data Scientist 1 positions are more technical and model-driven, whereas Data Analysts focus on descriptive insights to support business decisions.

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

To thrive as a Data Scientist, you need a solid background in statistics, programming (commonly Python or R), and data analysis, usually supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as SQL, machine learning frameworks (like scikit-learn or TensorFlow), and data visualization platforms is typically required, and certifications like Google Data Analytics or Microsoft Certified: Data Scientist can be advantageous. Strong problem-solving skills, curiosity, and the ability to communicate complex findings to non-technical stakeholders help set top performers apart. These competencies enable Data Scientists to extract actionable insights from data, drive business decisions, and effectively collaborate across teams.

What are some common challenges faced by entry-level data scientists, and how can they overcome them?

Entry-level Data Scientists often face challenges such as working with messy or incomplete data, defining clear problem statements from ambiguous business needs, and communicating technical findings to non-technical stakeholders. To overcome these, it's helpful to develop strong data cleaning and preprocessing skills, actively seek clarification from project leads, and practice translating complex analyses into actionable insights. Collaborating closely with more experienced team members and participating in code reviews can also accelerate learning and help build confidence in tackling real-world data problems.
More about Data Scientist 1 jobs
What cities are hiring for Data Scientist 1 jobs? Cities with the most Data Scientist 1 job openings:
What states have the most Data Scientist 1 jobs? States with the most job openings for Data Scientist 1 jobs include:
What job categories do people searching Data Scientist 1 jobs look for? The top searched job categories for Data Scientist 1 jobs are:
Data Scientist 1 jobs near you
Infographic showing various Data Scientist 1 job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist Level lll

MB Solutions Inc

Indian Springs, NV • On-site

Full-time

Re-posted 9 days ago

Job description

Must have a favorable Tier 1 (T1) security investigation

Must Minimum of Bachelor's degree in computer science, operations research, or a comparable field

Minimum of 5 years of experience in professional software algorithm development and/or database management and visualization.

Experience with software development lifecycle and use of associated tools.

Proficient in Python, R, Matlab, Lua, or other data science[1]centric programming language.

Mathematical knowledge of optimization, multi-variate calculus, probability & statistics, linear algebra, and numerical methods.

Knowledge of supervised and unsupervised machine learning concepts, such as Artificial Neural Networks, SVMs, Random Forests, Gaussian Processes, and other techniques.

Knowledge of common data visualization technologies, such as matplotlib, bokeh, d3, or matlab.

Exceptional analytical skills and problem-solving skills.

Willingness to learn new skills and technologies and exit "comfort zone".

Good organization, decision making, and verbal and written communication skills.

High level of self-initiative and self-motivation with the ability to work under minimal supervision.

Ability to work effectively in small team settings to solve complex problems

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