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Data Science Specialist Jobs (NOW HIRING)

Valero Energy

Data Science Specialist

San Antonio, TX · On-site

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

Valero

Data Science Specialist

San Antonio, TX

Valero is looking for a passionate and technically accomplished Data Scientist to develop and deploy AI solutions that solve real-world challenges across our refining and commercial operations. In ...

JANUS Research Group

Data Science Specialist

Pensacola, FL · On-site

$68K - $72K/yr

Objective The Data Science Specialistadvises on the potential benefits/uses of automation to improve the efficiency of program operations; Analyzes a variety of data sources to provide data-driven ...

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Data Science Specialist information

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$33K

$81.5K

$140K

How much do data science specialist jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data science specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science specialists typically earn high salaries due to the demand for skills in statistics, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech and analytics fields.

What is the difference between Data Science Specialist vs Data Analyst?

AspectData Science SpecialistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; certifications like Certified Data ScientistBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentCollaborates with data engineers, data scientists, and business teams; often in tech or finance industriesWorks with business teams to interpret data; common in retail, healthcare, and marketing sectors
Employer & Industry UsageUsed by tech companies, financial institutions, and large enterprises for advanced analyticsWidely employed across various industries for reporting and basic data insights

The main difference between a Data Science Specialist and a Data Analyst lies in their focus and skill set. Data Science Specialists handle complex modeling, machine learning, and predictive analytics, often requiring advanced technical skills and certifications. Data Analysts primarily focus on data reporting, visualization, and descriptive analytics. Both roles are essential but serve different purposes within organizations.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership responsibilities.

Is 40 too late for data science?

Data Science Specialists 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 expertise and the ability to adapt to evolving technologies.

What does a data science specialist do?

A data science specialist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They use tools like Python, R, and SQL, and often work with machine learning algorithms to solve complex business problems.
More about Data Science Specialist jobs
What states have the most Data Science Specialist jobs? States with the most job openings for Data Science Specialist jobs include:
What job categories do people searching Data Science Specialist jobs look for? The top searched job categories for Data Science Specialist jobs are:
Data Science Specialist jobs near you
Infographic showing various Data Science Specialist job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Science Specialist

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Re-posted 20 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.