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Data Science Assistant Jobs in Alabama (NOW HIRING)

UAB NOVA RENT

DATA SCIENTIST LEAD

Birmingham, AL · On-site

$104K - $169K/yr

... implement data science algorithms (e.g. regression, classification and clustering techniques ... Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX ...

Tuskegee University

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 ...

Leidos

Data Analyst

Huntsville, AL · On-site

Work closely with a team of engineers and scientists to develop analysis scripts and data products. * Assist with data collections to include cleaning and validating data collected from multiple ...

PNC Bank

Fraud Data Scientist (Lending)

Birmingham, AL · On-site

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and ...

PNC Bank

Fraud Data Scientist (Lending)

Birmingham, AL · On-site

$55K - $113K/yr

Spark/Python, Data Science and Analytics, Optimization Frameworks, Graph/Linkage Analysis, Data ... assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data science assistants 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 not a barrier if you develop the necessary competencies and stay current with industry trends.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What is a data scientist assistant?

A data scientist assistant supports data scientists by collecting, cleaning, and analyzing data, often using tools like Python or R. They help prepare reports, build models, and may need knowledge of statistics and data visualization to contribute effectively to data projects.

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 results, develop models, and make strategic decisions. Data scientists are increasingly required to work alongside AI tools, focusing on complex problem-solving, model development, and domain expertise. Continuous learning and proficiency in programming languages like Python and tools such as machine learning frameworks remain essential for the role.

Which is better, DS or CS?

For a Data Science Assistant role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes algorithms, programming, and software development. The choice depends on the specific job requirements and your career goals, but familiarity with programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Alabama? The most popular types of Data Science jobs in Alabama are:
What are popular job titles related to Data Science Assistant jobs in Alabama? For Data Science Assistant jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Alabama look for? The top searched job categories for Data Science Assistant jobs in Alabama are:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Alabama as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Heersink School of Medicine-Instructor (Data Science)

Heersink School of Medicine-Instructor (Data Science)

The University of Alabama at Birmingham

Birmingham, AL • On-site

Full-time

Posted 19 days ago

University Of Alabama At Birmingham rating

7.7

Company rating: 7.7 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

215th of 535 rated colleges and universities

Job description

Position Information
School/College School of Medicine Title Heersink School of Medicine-Instructor (Data Science) Assignment Category Full-Time Rank Instructor Tenure Status Non-Tenure Track Payroll Status Faculty 12 Job Description
We are seeking a highly motivated and skilled Instructor of Data Science to join the Department of Anesthesiology and Perioperative Medicine. The successful candidate will begin by providing insights and recommendations through advanced data analysis, contributing to various data science projects. Over time, the role will transition to leading a waveform lab, focusing on innovative research and development in healthcare data science. This transition will involve creating a team of PhD students, Post-Doctoral Fellows, and junior faculty.

Initial Responsibilities:
  1. Data Analysis and Hypothesis Testing: Utilize advanced mathematical, statistical, scientific, and computational techniques to develop, test, and validate hypotheses. Techniques may include probability models, artificial intelligence (AI), machine learning, data mining, pattern recognition, data visualization, predictive analytics, data warehousing, artificial intelligence, and other complex methods.
  2. Tool and Model Development: Develop new tools and models or integrate existing ones to analyze large and unstructured data sources, particularly with generative AI.
  3. Presentation of Findings: Prepare and present interpretations of data findings to internal and external clients.
  4. Mentorship: Mentor and train junior staff, faculty, and trainees, fostering a collaborative and educational environment.
  5. Collaboration: Work with university-wide resources (e.g., graduate CS department, informatics group, medical faculty and staff, epidemiologists, statisticians) to maximize data usage for improving patient outcomes.
  6. Knowledge Sharing: Demystify complex deep learning and statistical learning techniques, both in application to our data and in understanding published research.
  7. Project Support: Strengthen ongoing projects such as designing patient risk scorecards, waveform analysis, and generative AI integration.
Transitioning Responsibilities:
  1. Waveform Lab Leadership: Lead the establishment and development of a waveform lab within the data science team.
  2. Hiring and Training: Recruit, hire, and train PhD students, Post-Docs, and junior faculty, providing guidance and leadership in their research endeavors.
  3. Research Direction: Set the research agenda for the waveform lab, focusing on innovative applications of data science in anesthesiology.
  4. Funding and Grants: Secure funding through grants and other sources to support the lab's research activities.
  5. Collaboration Expansion: Expand collaborative efforts with other departments and institutions to enhance research output and impact.
  6. Academic Contributions: Contribute to the academic mission of the department through teaching, publishing research, and participating in academic conferences.

Required Qualifications
  1. PhD in Mathematics, Science, Data Science, Computer Science, Statistics, or a related field.
  2. Strong background in advanced data analysis techniques, including artificial intelligence, machine learning, data mining, and predictive analytics.
  3. Experience with large, unstructured data sources and the development of analytical tools and models.
  4. Proven track record of research and publication in relevant fields.
  5. Excellent communication skills, with the ability to present complex findings to diverse audiences.
  6. Experience in mentoring and training junior staff or students.
  7. Ability to work collaboratively across departments and with external partners.
Preferred Qualifications
  • Experience in healthcare data science, particularly in anesthesiology or a related medical field.
  • Prior experience in leading research teams or labs.
  • Demonstrated success in securing research funding.
Posting Detail Information
Posting Number F2666P Open Date 06/27/2025 Close Date Open Until Filled No Nondiscrimination Statement
UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, religion, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.
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A pre-employment background check investigation is performed on candidates selected for employment.
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About University of Alabama at Birmingham

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The University of Alabama at Birmingham is the heartbeat of Birmingham and an integral medical leader in the Southeast. The Birmingham campus is within walking distance of some of the best parks, entertainment, and dining in the region. UAB's three regional campuses expand their academic reach and responsibilities in addition to educating physicians in rural and underserved areas of the state. UAB is experiencing major and sustained investment and growth, due both to its exceptional research faculty and its culture of collaboration. Through concerted and strategic investments in its clinical and research enterprise, UAB has undergone an amazing transformation in the past five years and has strengthened its status and reputation as a leader in medical training, biomedical discovery, innovation, and patient care.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Birmingham, AL, US

Year founded

1859

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