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Data Science Jobs in Mobile, AL (NOW HIRING)

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Master's degree in AI (ML / Data Science), Computer Science, or a highly quantitative field. * Preferred: Specialization in NLP (Natural Language Processing), Generative AI, or Agentic AI. Experience:

Data Engineer

Mobile, AL · On-site

$113K - $136K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Senior Programmatic Specialist

Mobile, AL · Remote

$115K - $115K/yr

Collaborate with Analytics, Data Science, UX, Web, and Marketing teams to improve measurement, attribution, audience strategy, and conversion performance. Analyze campaign results and provide ...

Senior Programmatic Specialist

Mobile, AL · Remote

$115K - $115K/yr

Collaborate with Analytics, Data Science, UX, Web, and Marketing teams to improve measurement, attribution, audience strategy, and conversion performance. Analyze campaign results and provide ...

Senior Paid Social Specialist

Mobile, AL

$77K - $95K/yr

Collaborate with Data Science and Analytics teams to enhance attribution models, audience strategies, measurement frameworks, and reporting capabilities. Ensure proper implementation and maintenance ...

Senior Paid Social Specialist

Mobile, AL

$77K - $95K/yr

Collaborate with Data Science and Analytics teams to enhance attribution models, audience strategies, measurement frameworks, and reporting capabilities. Ensure proper implementation and maintenance ...

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Data Science information

See Mobile, AL salary details

$37.2K

$121.8K

$195K

How much do data science jobs pay per year?

As of Jul 20, 2026, the average yearly pay for data science in Mobile, AL is $121,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $135,000.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Mobile, AL? The most popular types of Data Science jobs in Mobile, AL are:
What are popular job titles related to Data Science jobs in Mobile, AL? For Data Science jobs in Mobile, AL, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Mobile, AL look for? The top searched job categories for Data Science jobs in Mobile, AL are:
What cities near Mobile, AL are hiring for Data Science jobs? Cities near Mobile, AL with the most Data Science job openings:
Infographic showing various Data Science job openings in Mobile, AL as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,797 per year, or $58.6 per hour.
Data Warehouse Engineer

Full-time

Re-posted 22 days ago


Job description

Posting Details
Position Information
Job Title
Data Warehouse Engineer
Job Description
GENERAL STATEMENT OF FUNCTION:
The Data Warehouse Engineer is responsible for extracting, transforming, and data processing by developing/managing the corresponding database tables. The individual must be proficient in database engineering and have expertise in SQL/PL-SQL. The individual maintains and writes PL-SQL procedures and functions and ensures the warehoused tables update via a Cron schedule on the Linux-based server. Data from the warehoused tables are used in internal, state and federal reports. The position requires a high amount of independent technical work and ongoing communication with the Executive Vice President of Technology & Research.
Job Duties
SPECIFIC DUTIES & RESPONSIBILITIES
Engineering Tables in the Data Warehouse:
1. Creates the database tables used to store the extracted and transformed data which are subsequently used as drivers of reports and dashboards. These tables are updated on a cron schedule on the Linux server using SQL and shell scripts to automate the process. As needs arise for new fields to be added to the tables, the Data Warehouse Engineer will code these fields, update all prior records to include the new data, and ensure the fields are populated automatically going forward.
2. Responsible for the organizational framework that standardize the process of data collection, storage, transformation, distribution, and usage.
3. Builds massive reservoirs for data and develop, construct, test, and maintain architectures and data processing systems.
Extracting Data:
4. Writes SQL queries and PL-SQL procedures and functions to extract data from multiple sources, including the Oracle database-based Banner student information system and excel spreadsheets. Extraction from survey data spreadsheets and subsequent data transformation and loading utilizes scripting in R which are written and maintained by the Data Warehouse Engineer. Custom projects based on extracted data and extracting data to the planning system in Oracle Application Express are also the responsibility of the Data Warehouse Engineer.
Maintaining Tables in the Data Warehouse:
5. Responsible for ensuring the data are updated and troubleshooting any technical issues that may arise in the data warehouse tables. Monitor the system performance by performing regular tests and integrating new features.
Verification & Validation of Data Elements:
6. Assembles data from multiple sources, cleans and analyzes complex datasets in areas, including but not limited to: internal data requests, survey research, ad hoc research projects, assessments and evaluation, program/institutional accreditation, and state/federal reporting. Interprets the data with accuracy and presents key findings to internal and external stakeholders in a clear and concise manner.
Consultation:
7. Designs and coordinates various ad hoc research projects based off of institutional need, facilitates the administration of assessments, and creates comprehensive evaluation plans.
General Responsibilities
8. Responsible for analyzing and reporting data to meet state, federal and accreditation deadlines.
9. Ensures that all reports and generated output are delivered with accuracy and by the established deadline.
10. Provides ongoing training, support and educational opportunities to our employees on IR related topics and promotes a culture of assessment at the institution. Prepares and presents employee development
educational sessions based off employee needs and the individual's area of expertise.
11. Works cooperatively and effectively with other college staff members, faculty and administration. Practices excellent customer service in their daily interaction with stakeholders.
12. Ability to work within strict deadlines. Able to work effectively in a high-pressure environment.
13. Assumes responsibility for special assignments initiated by the administration or our stakeholders.
14. High-level productive programmer who has a passion for designing and maintaining a data warehouse.
15. Works well with individuals from diverse backgrounds and personalities.
16. Adheres to all policies, procedures, and laws governing the employees of the institution.
17. Perform other duties as assigned by the Executive Vice President of Technology & Research.
Mandatory Qualifications
MANDATORY: (M1) Master's degree in Computer Engineering, Computer Science, Computer Programming, or a related field requiring database architecture (M2) Relevant coursework or significant work experience developing a database and proficiency in Oracle required. (M3) Demonstrated experience or have the experience to build reservoirs of data. (M4) Excellent oral and written communication skills; demonstrates the ability to communicate complex findings in a concise manner. (M5) Excellent time management and organizational skills.
Desirable Qualifications
DESIRABLE: (D1) A Ph.D. or significant progress towards a terminal degree, in Computer Engineering, Computer Science, Computer Programming, or a closely related field requiring database architecture or data analysis from a regionally accredited institution of higher education. (D2) Strong background and technical skills working with Ellucian Banner, FTP, SSH, Linux, Crontab, Shell Scripting, SQL, PL-SQL, R, Oracle Application Express (APEX), Windows Batch Scripting
EEO Statement
Mississippi Gulf Coast Community College is an Equal Opportunity Employer and welcomes students and employees without regard to race, color, religion, national origin, sex, pregnancy, age, or qualified disability in its programs and activities. For further information, contact the Compliance Officer P.O. Box 609, Perkinston, Mississippi, 39573, telephone number 601-528-8735, email address compliance@mgccc.edu.
The College:
The Mississippi Gulf Coast Community College District serves a four-county area with three major campuses, the Community Campus and four centers including: Perkinston Campus, Perkinston, MS; Harrison County Campus, Gulfport, MS; Jackson County Campus, Gautier, MS. Additionally, Mississippi Gulf Coast Advanced Manufacturing and Technology Center, Gulfport, MS; Keesler Center, Biloxi, MS; West Harrison Center, Long Beach, MS; and George County Center, Lucedale, MS.
State and regional associations accredit Mississippi Gulf Coast Community College, and several programs are accredited nationally. Offerings include academic, technical degree, vocational skill and adult continuing education programs.
Classification
Administration
Posting Detail Information
Open Date
06/20/2022
Close Date
Open Until Filled
Yes
Special Instructions to Applicants
For more information on the position, please contact (Name, Address, Phone, and Email):
Adam Swanson
Executive Vice President, Technology & Research
10298 Express Drive. Gulfport 39503
228-897-4377
adam.swanson@mgccc.edu