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Data Science Jobs in Mobile, AL (NOW HIRING)

Moss Point School District

Teacher - Science

Moss Point, MS

$39K - $50K/yr

SCIENCE TEACHER DEPARTMENT/SITE: Middle School QUALIFICATIONS: Current state endorsement as a ... Knowledge of data information systems, data analysis and the formulation of action plans. * Ability ...

Moss Point School District

Teacher - Science

Moss Point, MS · On-site

$39K - $50K/yr

Current state endorsement as a science teacher Bachelor's degree from an accredited college or ... Knowledge of data information systems, data analysis and the formulation of action plans. * Ability ...

FocusKPI

Marketing Operations Analyst

Mobile, AL

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Ag

Ground Test Engineer

Mobile, AL · On-site

Bachelor of Science degree in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science. * Minimum 8 ...

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All JobsData Science JobsData Science Jobs in Mobile, AL

Data Science information

See Mobile, AL salary details

$37.2K

$121.8K

$195K

How much do data science jobs pay per year?

As of Jun 14, 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.

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.

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 complex data, develop models, and make strategic decisions. Data scientists with expertise in programming, statistical analysis, and machine learning remain essential for designing and deploying AI solutions effectively.

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 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 jobs are there in data science?

Data science offers a variety of roles including Data Scientist, Data Analyst, Machine Learning Engineer, Data Engineer, and Business Intelligence Analyst. These positions typically require skills in programming, statistics, and data visualization tools, and may involve working with large datasets, predictive modeling, and data-driven decision making.

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 jobs does a data scientist do?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use programming languages like Python or R, employ statistical techniques, and often work with machine learning algorithms to solve complex problems across various industries.
More about Data Science jobs
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 cities near Mobile, AL are hiring for Data Science jobs? Cities near Mobile, AL with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Mobile, AL as of June 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,797 per year, or $58.6 per hour.

Teacher - Science

Moss Point School District

Moss Point, MS

$39K - $50K/yr

Other

Posted 20 days ago

Job description

SCIENCE TEACHER 
DEPARTMENT/SITE:        Middle School
QUALIFICATIONS:               Current state endorsement as a science teacher
Bachelor's degree from an accredited college or university in education discipline applicable to teacher assignment
REPORTS TO:                         Building Principal
POSITION PURPOSE:
Under the general supervision of the school principal, to develop students' skills and competence in one or more fields of science; develops students' skills and abilities in scientific methods and problem-solving, as well as an understanding of the application of science in the solution of practical problems. 
RESPONSIBILITIES:
  • Teaches knowledge and skills in one or more fields of science, including general science, earth science, biology, physiology, chemistry, and physics, in accordance with district curriculum. 
  • Promotes critical and creative thinking and analysis in all related subject areas. 
  • Promotes a classroom environment that is safe and conducive to individualized and small group instruction, and student learning. 
  • Develops lesson plans and instructional materials for subject area, and translates lesson plans into learning experiences to develop pertinent sequential assignments, challenge students, and best utilize the available time for instruction. 
  • Designs learning activities to demonstrate the application of science to everyday existence, including scientific research projects, demonstrations, experiments, and laboratory activities. 
  • Instructs students in the proper use and care of scientific equipment, chemicals, and plant and animal life. 
  • Conducts ongoing assessment of student learning and progress, and modifies instructional methods to fit individual student's needs, including students with special needs; conducts individual and small group instruction as needed. 
  • Maintains familiarity with district and standardized tests for the purpose of adapting curriculum to maximize student achievement on such tests. 
  • Continues to acquire professional knowledge and learn of current developments in the educational field by attending seminars, workshops or professional meetings, or by conducting research. 
  • Organizes and maintains a system for accurate and complete record-keeping, grading, and reporting for all student activities, achievement and attendance as required by district procedures and applicable laws. 
  • Encourages parental involvement in students' education and ensures effective communication with students and parents. 
  • Ensures that student conduct conforms to the school's standards and school district policies, and establishes and maintains standards of student behavior needed to achieve a functional learning atmosphere in the classroom. 
  • Coordinates with other professional staff members, especially within grade level, and participates in faculty meetings and committees. 
  • Selects and requisitions appropriate books, instructional aids and other supplies and equipment, maintains inventory records, and ensures equipment is in good working order. 
  • Performs other related tasks as assigned by the principal and other central office administrators as designated by the superintendent. 
KNOWLEDGE, SKILLS and ABILITIES: 
  • Knowledge of current teaching methods and educational pedagogy, as well as differentiated instruction based upon student learning styles. 
  • Knowledge of a wide range of science subject areas, including general science, earth science, biology, physiology, chemistry, physics, and other related areas (e.g., mathematics).
  • Knowledge of data information systems, data analysis and the formulation of action plans. 
  • Ability to use computer network system and software applications as needed. 
  • Ability to organize and coordinate work. 
  • Ability to communicate effectively with students and parents. 
  • Ability to engage in self-evaluation with regard to performance and professional growth. 
  • Ability to establish and maintain cooperative working relationships with others contacted in the course of work. 
TERMS OF EMPLOYMENT:     187 DAYS
Salary for this position shall be commensurate with the years of experience as determined under the policies and procedures of the Moss Point School District and in accordance with the pay scale.
EVALUATION:   Performance of this job will be evaluated annually in accordance with provisions of the Board of Trustees' policy on evaluation of district personnel.



















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