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Entry Level Data Science Jobs in Alabama (NOW HIRING)

Apex Systems

Data Analyst

Birmingham, AL · On-site

... GIS, Computer Science, or a related field. * 0-2 years of experience in data analysis, data ... Hybrid/Onsite Experience Level: Entry-Level (0-2 Years) Employment Type: Contract or Contract-to ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL · On-site

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Actalent

Entry Level Recruiter | Sales Trainee

Hoover, AL · On-site

$45K - $55K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Actalent

Entry Level Recruiter | Sales Trainee

Hoover, AL · On-site

$45K - $55K/yr

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

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How much do entry level data science jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level data science in Alabama is $17.27, according to ZipRecruiter salary data. Most workers in this role earn between $14.62 and $19.38 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an entry level data scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

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 Entry Level Data Science jobs in Alabama?

For Entry Level Data Science jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Alabama look for?

The top searched job categories for Entry Level Data Science jobs in Alabama are:

What cities in Alabama are hiring for Entry Level Data Science jobs?

Cities in Alabama with the most Entry Level Data Science job openings:

Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $35,919 per year, or $17.3 per hour.

Data Analyst II - 530454

University of Alabama

Tuscaloosa, AL • On-site

$56K - $73K/yr

Full-time

Posted 10 days ago

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

415th of 631 rated colleges and universities

Job description

Pay Grade/Pay Range: Minimum: $56,600 - Midpoint: $73,600 (Salaried E9)
Department/Organization: 209202 - OTIDE Business Intelligence
Normal Work Schedule: Monday - Friday 8:00am to 5:00pm
Note to Applicants: Position is eligible for remote work subject to University policy .
Job Summary: The Data Analyst II gathers, audits, analyzes, and reports moderate- to high-complexity data under moderate supervision. Ensures data integrity. May build dashboards or reporting systems for end users, perform ad-hoc analyses and reporting to inform decision-making, or design predictive modeling or other data mining capabilities. May provide guidance and training to entry-level Data Analysts.
Additional Department Summary: Defines the data architecture for consistency in reporting across the department and across OTIDE for internal tracking of business operations, and externally for communications with UA partners such as College program directors. Tracks DL students, Early college students, and non-degree seeking students across multiple data sources.
Required Minimum Qualifications: Bachelor's degree and two (2) years of data analysis experience; OR master's degree and some data analysis experience.
Skills and Knowledge: Knowledge of business intelligence functions, analytics, industry standards, and best practices. Ability to understand complex relational data structures. Thorough knowledge of relevant internal databases. Ability to translate data into actionable insights. Excellent quantitative and analytical capabilities. Strong understanding of new and emerging fundraising and quantitative modeling techniques and technologies.
Preferred Qualifications: Bachelor's degree or higher in business intelligence, information sciences, statistics, or mathematics. Experience with Customer Relationship Management (CRM) software. Experience with scripting languages like Python, R and SQL and analytic tools such as Tableau or PowerBI. experience in querying, cleansing, and manipulating large data sets.
Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.
Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC's Know Your Rights: Workplace discrimination is illegal poster.
The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

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