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Associate Data Scientist Jobs in Alabama (NOW HIRING)

Senior Associate, Data Architect

Huntsville, AL

$62.75 - $83.75/hr

Senior Associate, Data Architect Job Code: 40398 Job Location:Huntsville, AL Job Schedule: 9/80 ... Science, Physics, Mathematics, Engineering or related fieldor have completed their master's degree ...

... quality of data related to electrical and telecommunications components for aerial utility ... At WGI, you will find talented, passionate associates providing exceptional service in ...

... quality of data related to electrical and telecommunications components for aerial utility ... At WGI, you will find talented, passionate associates providing exceptional service in ...

... quality of data related to electrical and telecommunications components for aerial utility ... At WGI, you will find talented, passionate associates providing exceptional service in ...

... Associate, Microsoft Power BI Data Analyst (PL-300), Microsoft Azure Fundamentals, DataCamp Data Engineer Certification, DataCamp Data Analyst Certification, DataCamp Data Scientist Certification ...

Our Computer Science and Data Science programs are rapidly growing with the recent launched the PhD program, which is aligned with the President Strategy of R2 status. The ideal Assistant/Associate ...

Data Quality Engineer

Montgomery, AL · On-site

$113K - $136K/yr

Analytics & Data Science Skills: * Data Quality Standards & Metrics: Define and enforce data ... DAMA CDMP (Associate/Practitioner) · EDM Council DCAM · ASQ Data Quality Credential · Collibra ...

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Auburn University is looking for a TES Research Associate to support research in AI-driven modeling ... Required : • Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ...

Senior Scientist I

Birmingham, AL · On-site

$85K - $117K/yr

Mentor junior scientists and research associates; review experimental design and data interpretation. * Present findings to internal stakeholders and, as needed, external partners or customers.

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

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Showing results 1-20

Associate Data Scientist information

See Alabama salary details

$52.1K

$61.7K

$116.9K

How much do associate data scientist jobs pay per year?

As of Jul 29, 2026, the average yearly pay for associate data scientist in Alabama is $61,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $53,900.00 per year, depending on experience, location, and employer.

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

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

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

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What does an Associate Data Scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What are some typical projects an Associate Data Scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What Does an Associate Data Scientist Do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are the most commonly searched types of Data Scientist jobs in Alabama? The most popular types of Data Scientist jobs in Alabama are:
What cities in Alabama are hiring for Associate Data Scientist jobs? Cities in Alabama with the most Associate Data Scientist job openings:
What are popular job titles related to Associate Data Scientist jobs in AL? For Associate Data Scientist jobs in AL, the most frequently searched job titles are:
Infographic showing various Associate Data Scientist job openings in Alabama as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $61,670 per year, or $29.6 per hour.

Senior Associate, Data Architect

L3HHCM20

Huntsville, AL

$62.75 - $83.75/hr

Other

Posted 28 days ago


Job description

Job Title:Senior Associate, Data Architect 

Job Code: 40398

Job Location:Huntsville, AL

Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off  

Job Description:

The Data Architect role is an early career position that supports the development of data solutions in a project-based environment. Working with senior data architects, business intelligence analysts, and cross-functional teams, this individual will help with data modeling, data integration, migration activities, and reporting solutions while learning L3Harris tools, standards, and best practices. This role is a good fit for candidates with interest or experience in either back-end data architecture work or front-end analytics and reporting, with the opportunity to grow across both areas over time.

Essential Functions:

  • Support senior data architects in the design and maintenance of data models and data solutions.
  • Assist with data integration, extract, transform, and load (ETL), and data migration activities across multiple sources.
  • Help develop and maintain logical and physical data models based on business and technical needs.
  • Support enterprise data environments, including data warehouses and platforms such as Snowflake and Palantir.
  • Assist with dashboards, reports, and analytic outputs using tools such as Power BI, Tableau, or similar platforms.
  • Troubleshoot data processing, reporting, and data quality issues.
  • Collaborate with project teams and stakeholders to support solution development and delivery.
  • Participate in testing, deployment, maintenance, and documentation of data solutions.
  • Travel up to 10% as required.

Qualifications:

  • To be eligible, applicants must be pursuing amaster's degree inSystems Engineering, Electrical Engineering, Computer Science, Physics, Mathematics, Engineering or related fieldor have completed their master's degree within the last 12 months, regardless of age.

Preferred Additional Skills:

  • Exposure to Palantir or similar enterprise data platforms.
  • Familiarity with data warehouses such as Snowflake.
  • Familiarity with Power BI, Tableau, Power Query, Power Pivot, or similar analytics tools.
  • Exposure to relational or non-relational databases.
  • Interest in learning enterprise data architecture standards and best practices.
  • Curiosity, willingness to try new approaches, and openness to learning and using new technologies to grow technical skills. Basic knowledge of SQL, Python, or similar scripting or query languages.
  • Foundational understanding of data modeling, data structures, analytics, reporting, or data management concepts.
  • Exposure to either back-end data work such as ETL, integration, migration, or modeling, or front-end analytics work such as dashboards, reporting, and analysis.