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Data Analyst Data Scientist Jobs in Addison, TX (NOW HIRING)

Our data science teams also embrace staying current with the evolving data science landscape ... Develop and validate advanced analytic models * Provide input into and/or build datasets to support ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Data Scientist

Dallas, TX · On-site

$68.88 - $103.32/hr

AbouttheRole We're looking for a Data Scientist to support a growing Acquisition Marketing & Sales ... Lead tactical and strategic data analyses in support of Acquisition Marketing & Sales priorities.

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Data Scientist

Dallas, TX · On-site

$68.88 - $103.32/hr

AbouttheRole We're looking for a Data Scientist to support a growing Acquisition Marketing & Sales ... Lead tactical and strategic data analyses in support of Acquisition Marketing & Sales priorities.

What You'll Do Analyze and Model Time Series Data * Engage directly with operational and ... Build scalable, maintainable data science solutions with clean architecture, disciplined testing ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Required Skills * 10+ years of hands-on experience in Applied Data Science, Analytics Engineering, and Systems Modeling. * 5+ years of client-facing, consulting, or business development experience ...

Showing results 41-60

Data Analyst Data Scientist information

See Addison, TX salary details

$44.5K

$159.7K

$235.7K

How much do data analyst data scientist jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst data scientist in Addison, TX is $159,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $164,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are popular job titles related to Data Analyst Data Scientist jobs in Addison, TX?

For Data Analyst Data Scientist jobs in Addison, TX, the most frequently searched job titles are:

What cities near Addison, TX are hiring for Data Analyst Data Scientist jobs?

Cities near Addison, TX with the most Data Analyst Data Scientist job openings:

Infographic showing various Data Analyst Data Scientist job openings in Addison, TX as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $159,747 per year, or $76.8 per hour.

Data Scientist

State Farm

Richardson, TX • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


State Farm rating

7.3

Company rating: 7.3 out of 10

Based on 1,558 frontline employees who took The Breakroom Quiz

239th of 311 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!

Office Locations: Bloomington, Atlanta, Dallas, Phoenix

HYBRID:  Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

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 science teams also embrace staying current with the evolving data science landscape. 

**Applicants 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) or future need for this opportunity. 


Responsibilities

State Farm's Rating & Underwriting Modeling Team is seeking Data Scientists to support the growing demand for advanced analytic 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 analytic solutions.

Applicants for this posting will be considered for Data Scientist openings in:

  • Property & Casualty Actuarial & Underwriting Modeling Department (PCM): Develops models that support State Farm’s insurance pricing and underwriting decisions

Data Science at State Farm:

As a Data Scientist at State Farm, you will serve as a subject matter expert and consultant. Through this role, you will share your knowledge and work to increase the use of analytics for decision-making across the organization. Below are some of the tasks you can expect in the typical day of a Data Scientist:

  • Develop and validate advanced analytic models
  • Provide input into and/or build datasets to support model 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
  • Work on complex problems of diverse scopes
  • Establish and leverage a network of associates with business domain and data expertise
  • Instill a business-oriented mindset that drives the data science & research agenda
  • Build and maintain a relationship with the open-source community by creating and contributing to open-source data science software initiatives

Qualifications

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants 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) or future need for this opportunity. 


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: $102,000 - $163,000
    • 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!

Qualifications:

Requirements:

  • Completed Masters or other advanced degrees, in an analytical field such as statistics, mathematics, economics, data science, quantitative marketing, operations research, industrial engineering, etc.
  • Experience building advanced analytic solutions using generalized linear models and at least one of the following: time series analysis, cluster analysis, tree-based algorithms, or neural networks
  • Experience with at least one statistical programming language: SAS, R, and/or Python

Other Things We Look For:

  • Experience with cloud-based environments (e.g., AWS), Linux, and/or SQL
  • Strong communication skills and the ability to manage multiple, diverse stakeholders across business areas and leadership levels

What You Can Expect:

Competitive candidates may be invited to participate in pre-employment testing and/or the interview process. This is where the excitement begins!

**Applicants 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) or future need for this opportunity. 

Education:UNAVAILABLEEmployment Type: FULL_TIME

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