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Statistical Data Scientist Jobs in Alabama (NOW HIRING)

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Data Science & AI Job Summary We are seeking an experienced Senior Data Scientist to join our ... The ideal candidate will leverage advanced statistical analysis, machine learning, and data ...

ERC, Inc.

Data Scientist

Redstone Arsenal, AL · On-site

Data Scientists are expected to use statistical techniques to help test teams make better decisions and improve their operations. What you'll do all day: * BWork directly with test team and data ...

ERC Inc.

Data Scientist

Huntsville, AL · On-site

In your role as a Data Scientist, you will use statistical techniques to plan tests and analyze and interpret data Data Scientists are expected to use statistical techniques to help test teams make ...

Mindlance

Data Scientist 3

Birmingham, AL · On-site

Mindlance is a company seeking an experienced Data Scientist to leverage advanced analytics and ... by applying advanced statistical and machine learning techniques. • Develop and deploy ...

Guidehouse

Data Scientist

Huntsville, AL · On-site

Experience with statistical and data science techniques, including data integration, data wrangling, querying large databases, and statistical modeling (supervised, unsupervised, clustering)

Guidehouse

Data Scientist

Huntsville, AL · On-site

Experience with statistical and data science techniques, including data integration, data wrangling, querying large databases, and statistical modeling (supervised, unsupervised, clustering)

Guidehouse

Data Scientist

Huntsville, AL · On-site

Experience with statistical and data science techniques, including data integration, data wrangling, querying large databases, and statistical modeling (supervised, unsupervised, clustering)

SOSi

Data Scientist

Redstone Arsenal, AL · Hybrid

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 years of experience as a Data Scientist * Programming knowledge in Python or similar language

SOSi

Data Scientist

Huntsville, AL · On-site

Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field. * 1-3 years of experience as a Data Scientist * Programming knowledge in Python or similar language

4pconsultinginc

Data Scientist III (IT)

Birmingham, AL · On-site

Data Scientist III (IT) Location: Birmingham, AL Duration: 1 Year Client: Alabama Power Job Summary ... This role requires strong expertise in statistics, machine learning, and programming , with the ...

Motion

Data Scientist

Birmingham, AL · On-site

They are seeking a Data Scientist who will analyze data, design machine learning models, and ... Statistics, Operations Research, Quantitative Social Science or a related area • At least seven ...

EBSCO Industries, Inc.

Data Scientist

Birmingham, AL · On-site

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and ... You will own the statistical modeling and feature engineering that exists in the Data * Data Layer ...

EBSCO Industries Inc

Data Scientist

Birmingham, AL

Win as a Team Job Summary Moultrie is looking for a Data Scientist to join the growing Data and ... You will own the statistical modeling and feature engineering that exists in the Data * Data Layer ...

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Showing results 1-20

All JobsStatistical Data Scientist JobsStatistical Data Scientist Jobs in Alabama

Statistical Data Scientist information

See Alabama salary details

$41.7K

$149.6K

$220.7K

How much do statistical data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for statistical data scientist in Alabama is $149,570.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $154,100.00 per year, depending on experience, location, and employer.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

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

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

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

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Alabama? For Statistical Data Scientist jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Statistical Data Scientist jobs in Alabama look for? The top searched job categories for Statistical Data Scientist jobs in Alabama are:
What cities in Alabama are hiring for Statistical Data Scientist jobs? Cities in Alabama with the most Statistical Data Scientist job openings:
Statistical Data Scientist jobs near you
Infographic showing various Statistical Data Scientist job openings in Alabama as of June 2026, with employment types broken down into 4% As Needed, 62% Full Time, 30% Part Time, and 4% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $149,570 per year, or $71.9 per hour.

Senior Data Scientist

Vultus Inc

Birmingham, AL • On-site, Remote

$130K - $170K/yr

Full-time

Posted 11 days ago

Job description

Senior Data Scientist
Experience: 6–10 Years
Job Type: Full-Time
Location: Remote / Hybrid / Onsite
Department: Data Science & AI

Job Summary

We are seeking an experienced Senior Data Scientist to join our growing analytics and AI team. The ideal candidate will leverage advanced statistical analysis, machine learning, and data engineering techniques to solve complex business problems, develop predictive models, and provide actionable insights. You will collaborate with cross-functional teams to build scalable AI solutions that drive business value. A strong JD should clearly outline responsibilities, required skills, and expectations to attract qualified candidates.

Key Responsibilities
  • Design, build, and deploy machine learning and predictive analytics models.
  • Analyze structured and unstructured datasets to identify trends and business opportunities.
  • Develop data pipelines and automate data processing workflows.
  • Collaborate with product managers, business analysts, and engineering teams.
  • Validate model performance and optimize algorithms for production.
  • Present technical findings and recommendations to business stakeholders.
  • Mentor junior data scientists and conduct code reviews.
  • Stay updated with advancements in AI, Machine Learning, and Generative AI.
Primary Skills
  • Python
  • SQL
  • Machine Learning
  • Deep Learning
  • Statistics
  • Data Modeling
  • Pandas
  • NumPy
  • Scikit-learn
  • TensorFlow or PyTorch
  • Data Visualization (Power BI/Tableau)
  • Apache Spark
  • Git
  • Cloud Platforms (AWS, Azure, or GCP)
Secondary Skills
  • NLP (Natural Language Processing)
  • Generative AI
  • Large Language Models (LLMs)
  • RAG (Retrieval-Augmented Generation)
  • MLOps
  • Docker
  • Kubernetes
  • Airflow
  • Snowflake
  • Databricks
  • CI/CD
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 6–10 years of experience in Data Science or Machine Learning.
  • Strong experience building and deploying ML models in production.
  • Expertise in SQL and Python programming.
  • Experience working with cloud platforms and big data technologies.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Generative AI and LLM-based applications.
  • Knowledge of MLOps and model deployment best practices.
  • Experience in Agile/Scrum development environments.
  • Relevant certifications in AWS, Azure, GCP, or Data Science are a plus.
Salary

USD $130,000 – $170,000 per year (Based on experience and location)