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Experienced Data Scientist Jobs (NOW HIRING)

Centstone

Data Scientist

Louisville, KY · On-site

$45 - $50/hr

Contract Experience: Minimum 7+ years required About the Role We are seeking an experienced Data Scientist for a contract opportunity in Louisville, Kentucky or Dallas, Texas. This role requires ...

New

Brillient

Data Scientist

Silver Spring, MD

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability ...

Prophecy Technologies

Data Scientist

Atlanta, GA · On-site

We are seeking an experienced Data Scientist to join our team. The ideal candidate will have strong expertise in data science, including proficiency in Python, SQL, and R programming languages, as ...

VTG

Data Scientist

Chantilly, VA

The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience ...

VTG

Data Scientist

Chantilly, VA · On-site

The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience ...

Sky Consulting Inc

Data Scientist

Houston, TX · On-site

Hands-on experience with enterprise data science solutions , preferably in retail, inventory management, or operations research. * Proficiency in Python, SQL, and PySpark. * Experience with ...

PROPRIUS

Senior Data Scientist

San Francisco, CA

Data Science Are you an experienced Data Scientist with 5+ years' experience who likes solving complex problems? Do you want to work for a rapidly-expanding technology company that is driven by Data ...

Judge Group, Inc.

Data Scientist

San Antonio, TX

$130K - $150K/yr

San Antonio, TX Full-Time About the Role We are seeking an experienced Data Scientist to join a collaborative, mission-driven technical team focused on solving complex problems through advanced ...

VTG

Data Scientist

Mclean, VA · On-site

Overview VTG is seeking a talented and experienced Data Scientist to join our dynamic and innovative team in Herndon, VA/Chantilly, VA. What will you do? * Collect, clean, and analyze large, complex ...

MedReview

Data Scientist

Austin, TX · On-site

MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to ...

Innotech

Data Scientist

Houston, TX · On-site

$12K - $78K/yr

We're seeking an experienced data scientist to deliver insights on a daily basis. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative ...

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How much do experienced data scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for experienced 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.

Is 40 too late for data science?

As an experienced data scientist, age is generally not a barrier to entering or advancing in the field. Many professionals successfully transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Continuous learning and practical experience are key factors for success regardless of age.

What are some typical challenges an experienced data scientist faces when working on cross-functional teams?

Experienced data scientists often collaborate with cross-functional teams, such as product managers, engineers, and business analysts. A common challenge in this environment is effectively communicating complex analytical findings in a way that is actionable for non-technical stakeholders. Additionally, aligning data science objectives with broader business goals and navigating differing priorities can require strong negotiation and project management skills. Overcoming these challenges is key to ensuring that data-driven insights are not only understood but also implemented to drive impact.

What are experienced data scientists?

Experienced data scientists are professionals who have a strong background in data analysis, statistical modeling, and machine learning, typically with several years of industry experience. They use advanced analytical techniques to extract insights from complex data sets, helping organizations make data-driven decisions. In addition to technical skills, they often possess domain expertise, strong problem-solving abilities, and experience in communicating their findings to both technical and non-technical stakeholders. Their work may involve designing experiments, building predictive models, and deploying machine learning solutions in production environments.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, statistical analysis, and programming remain essential for designing and deploying AI solutions effectively.

How much does an experienced data scientist make?

An experienced data scientist typically earns between $100,000 and $150,000 annually, with salaries increasing based on industry, location, and expertise in tools like Python or R. Senior roles or those with specialized skills can exceed $170,000 per year.

What are the key skills and qualifications needed to thrive as an Experienced Data Scientist, and why are they important?

To thrive as an Experienced Data Scientist, you need advanced statistical analysis, machine learning expertise, strong programming skills (often in Python or R), and a relevant degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL, and cloud platforms, as well as certifications in data science or analytics, are commonly expected. Outstanding problem-solving, communication skills, and business acumen help you translate complex data insights into actionable strategies. These skills are essential for delivering impactful solutions and driving data-informed decision-making within organizations.

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

AspectExperienced Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisBachelor's degree in Statistics, Mathematics, or related fields; certifications are optional
Work EnvironmentDevelops models, algorithms, and predictive analytics; works on complex data projectsPrepares reports, visualizations, and performs data cleaning and basic analysis
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceRetail, marketing, finance, and business intelligence

In summary, an Experienced Data Scientist typically handles advanced analytics, machine learning, and predictive modeling, requiring more technical skills and higher education. Data Analysts focus on data cleaning, reporting, and visualization, often with less emphasis on complex modeling. Both roles are essential but differ in scope and technical depth.

More about Experienced Data Scientist jobs
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What states have the most Experienced Data Scientist jobs? States with the most job openings for Experienced Data Scientist jobs include:
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Experienced Data Scientist jobs near you
Experienced Data Scientist

Experienced Data Scientist

Auto-Owners Insurance

Lansing, MI • On-site

Full-time

Retirement, PTO

Posted 19 days ago

Auto-Owners Insurance rating

9.2

Company rating: 9.2 out of 10

Based on 34 frontline employees who took The Breakroom Quiz

18th of 261 rated insurance

Job description

A career at Auto-Owners is challenging and rewarding. Our group of caring associates create financial security by helping individuals and businesses make a new start when a loss occurs.
Job Description
We offer a merit-based work-from-home program based on job responsibilities. After initial training in-person, this specific role could have the flexibility to work from home up to 3 days per week.
Please note we are not currently hiring fully remote positions. All candidates must have the ability to work in our home office in Lansing, Michigan twice a week.
Auto-Owners Insurance, a top-rated insurance carrier, is seeking an experienced data scientist to join our analytics teams. The position requires the person to:
  • Lead the design, development, validation, and deployment of statistical and machine learning models that address complex business needs and comply with regulatory requirements
  • Use statistical and machine learning techniques to build models that address business needs and comply with regulatory requirements
  • Work with large, complex data sets and develop a comprehensive knowledge of Auto-Owners data structures and metrics
  • Conduct ad-hoc analysis and present results clearly at multiple-levels of stakeholders through visual displays of quantitative information
  • Design, prototype, and implement new approaches for solving problems.
  • Collaborate with a cross-functional team, including software developers, architects, and business leaders
  • Create clear and easy to understand documentation for models
  • Monitor model performance and implement iterative improvements

Desired Skills & Experience
  • Master's degree in a quantitative discipline (e.g. Mathematics, Statistics, Computer Science, Physics, Operations Research, Economics, Electrical Engineering, etc.)
  • Proficiency in SQL or other data querying language
  • An understanding of statistical and machine learning techniques, including classification, regression, clustering, feature engineering, decision trees, gradient boosting, deep learning, etc.
  • Experience with common data science toolkits, such as R, Python, TensorFlow, SQL, Scikit-learn, Keras, etc.
  • Demonstrated experience owning end-to-end model lifecycle, including validation, monitoring, and performance optimization
  • Experience mentoring junior data scientists or leading analytical workflows preferred
  • Aptitude and willingness to learn new things and teach others
  • Strong written and oral communication skills
  • 5+ years of professional experience building models with large data sets. Candidates with 0-1 years of experience, please use the job posting for "Predictive Modeler". Candidates with less than 5 years of experience, please use the job posting for "Data Scientist".
  • (Preferred) Experience developing and deploying analytics solutions in cloud environments such as AWS
  • (Preferred) PhD in a quantitative discipline
  • (Preferred) Experience in the insurance industry

Compensation/Benefits
The salary offered will be commensurate with skills and experience.
We offer a friendly, hybrid work environment with primary work from home ability and monthly opportunities for team overlap in the office.
Along with a competitive base salary, our excellent benefits package includes a matched 401(k), fully-funded pension plan (once vested), bonus programs, student loan assistance, gym cost reimbursement, and generous paid time off including holidays, vacation days, personal time, and sick leave. We also offer structured education & training programs, mentoring, and opportunities for advancement and lateral movement to help you progress through your career. If you're looking to do rewarding work alongside great people, Auto-Owners is the place for you!
Equal Employment Opportunity
Auto-Owners Insurance is an equal opportunity employer. The Company hires, transfers, and promotes on the basis of ability, without consideration of disability, age, sex, race, color, religion, height, weight, marital status, sexual orientation, gender identity or national origin, or any factor contrary to federal, state or local law.
*Please note that the ability to work in the U.S. without current or future sponsorship is a requirement.
#LI-DNI #IN-DNI

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