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Data Science Jobs in Cleveland, MS (NOW HIRING)

Hancock Whitney Bank

Data Architect 2

Whitney, MS

$59.25 - $76.25/hr

Bachelor's degree; BS in Computer Science, Management Information Systems or similar degree ... Knowledge of application of data warehousing and data modeling concepts * Advanced SQL & database ...

undisclosed

Business Analyst

Merigold, MS

A degree in IT / Computer Science * Proven experience in eliciting requirements and testing * Experience in analysing data to draw business-relevant conclusions and in data visualization techniques ...

Lancesoft

Quality Lab Associate

Cleveland, MS · On-site

$20/hr

... data • Must be able to use standard software applications such as MS Office Suite • Perform ... Degree in Science (Chemistry, Chemical Engineering, Physical Chemistry, Biology with Chemistry ...

Lancesoft INC

Quality Lab Associate I

Cleveland, MS · On-site

$18 - $20/hr

Use laboratory instrumentation, computer systems and software to collect and record data * Must be ... Degree in Science (Chemistry, Chemical Engineering, Physical Chemistry, Biology with Chemistry ...

Delta Health Center

Internal Medicine

Mound Bayou, MS · On-site

Maintains clinical tracking data for continuity of care. Delegates specific tasks to other team ... Ability to deal with nonverbal symbolism (formulas, scientific equations, graphs, musical notes ...

UNFI

FSQA Partner- Indianola

Indianola, MS · On-site

Associate degree in Biology, Food Science, Public Health, Environmental Science or related field ... Strong analytical skills required for data interpretation and analysis * Computer skills in word ...

DivIHN

Quality Lab Associate

Cleveland, MS · On-site

... data • Must be able to use standard software applications such as MS Office Suite • Perform ... Degree in Science (Chemistry, Chemical Engineering, Physical Chemistry, Biology with Chemistry ...

US Navy

Oceanographer/Meteorologist

Benoit, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

US Navy

Oceanographer/Meteorologist

Boyle, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

US Navy

Oceanographer/Meteorologist

Cleveland, MS

... data. Ensure safety of navigation, access to denied waters, freedom to maneuver at will, and ... A desired degree is in physics, physics-based oceanography, meteorology, hydrography, earth science ...

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Showing results 1-20

All JobsData Science JobsData Science Jobs in Cleveland, MS

Data Science information

See Cleveland, MS salary details

$32.3K

$105.9K

$169.5K

How much do data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science in Cleveland, MS is $105,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,900.00 and $117,300.00 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.
More about Data Science jobs
What cities near Cleveland, MS are hiring for Data Science jobs? Cities near Cleveland, MS with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Cleveland, MS as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,851 per year, or $50.9 per hour.
Data Architect 2

Data Architect 2

Hancock Whitney Bank

Whitney, MS

$59.25 - $76.25/hr

Full-time

Posted 14 days ago

Hancock Whitney Bank rating

7.7

Company rating: 7.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

80th of 149 rated banks

Job description

Thank you for your interest in our company! To apply, click on the button above. You will be required to create an account (or sign in with an existing account). Your account will provide you access to your application information. The email address used in establishing your account will be used to correspond with you throughout the application process. Please be sure and check the spam folder. You may review, modify, or update your information by visiting and logging into your account.

Develop, support, and optimize the data warehouse to facilitate reporting and analysis of enterprise data. Responsible for analyzing source system data, building processes to provide data cleansing and proper categorization. Translates business processes into logical and physical models in support of business requirements.

ESSENTIAL DUTIES & RESPONSIBILITIES:

  • Experience with Cloud Data storage technologies like Snowflake, Databricks, Azure, AWS or similar is preferred
  • Contributes to the data warehouse development lifecycle (requirements gathering, ETL, database design & development, testing & validation).
  • Designs and builds data structures to support analysis and reporting.
  • Designs and builds processes to ensure integrity and quality of data.
  • Troubleshoots and optimizes existing queries and databases.
  • Recommends and implements process improvements.
  • Maintains data dictionary & documentation.
  • Maintains knowledge of current BI tools, methods, and best practices.
  • Acts as an internal consultant providing technical guidance on business systems projects.
  • Determines and resolves problems with other systems analysts, programmers, and systems users.
  • Maintains, develops, modifies, and documents processes according to general specifications and guidelines.
  • Provides guidance to lower-level team members.
  • Consults with managerial and systems analysis personnel to clarify intent, identify problems, suggest changes, and determine extent of programming and coding required.
  • Revises or directs revision of existing programs to increase operating efficiency or adapt to new requirements.
  • Analyzes, defines, and documents system requirements for data, workflow, logical processes, hardware and operating system environment, interfaces with other systems, internal and external checks, and controls and outputs.
  • Researches and evaluates software and hardware to enhance and improve existing processes.
  • Performs other duties and special projects as assigned by Senior Management.
  • Incumbent is required to comply with all applicable federal, state, and local banking and industry related laws and regulations including but not limited to the Bank Secrecy Act.

SUPERVISORY RESPONSIBILITIES:

None.

MINIMUM REQUIRED EDUCATION, EXPERIENCE & KNOWLEDGE:

  • Bachelor's degree; BS in Computer Science, Management Information Systems or similar degree preferred
  • At least six years related experience and/or training and experience with a developed expertise in database administration, data architecture or data modeling
  • Knowledge of Microsoft Office products including Microsoft Word, Excel, Power Pivot, PowerPoint, Access Outlook email program
  • General database administration practices
  • Knowledge of application of data warehousing and data modeling concepts
  • Advanced SQL & database development
  • ETL design patterns & best practices (MS Integration Services, Informatica, etc.)
  • SQL optimization methods and techniques
  • Demonstrated leadership capabilities on sizable projects

ESSENTIAL MENTAL & PHYSICAL REQUIREMENTS:

  • Ability to work under stress and meet deadlines
  • Ability to travel
  • Ability to lift/move/carry approximately 100 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an "undue hardship" then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement.

Equal Opportunity/Affirmative Action Employers.  All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.

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