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Data Jobs in Dothan, AL (NOW HIRING)

IQUASAR LLC

Senior Data Scientist

Fort Novosel, AL · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

iQuasar is seeking to fill in a Data Scientist in Reston, VA . At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for ...

Old Dominion Freight Line, Inc.

Database Associate

Dothan, AL · On-site

$57K - $71K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Help ensure data security by managing access controls and user permissions. * Document processes and procedures for use by database administrators and management. * Assist with database upgrades ...

EnergySolutions

Background Screening Clerk

Dothan, AL · On-site

$15/hr

Ability to resolve inconsistencies while evaluating the data * Perform detailed self-reviews of completed work. * Maintain security and confidentiality of files and records. * Assist in the ...

EnergySolutions

Background Screening Clerk

Kinsey, AL · On-site

$15/hr

Ability to resolve inconsistencies while evaluating the data * Perform detailed self-reviews of completed work. * Maintain security and confidentiality of files and records. * Assist in the ...

Energy Solutions

Background Screening Clerk

Dothan, AL · On-site

$15/hr

Ability to resolve inconsistencies while evaluating the data * Perform detailed self-reviews of completed work. * Maintain security and confidentiality of files and records. * Assist in the ...

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All JobsData JobsData Jobs in Dothan, AL

Data information

See Dothan, AL salary details

$41.8K

$150K

$221.4K

How much do data jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data in Dothan, AL is $150,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $154,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

More about Data jobs

What are the most commonly searched types of Data jobs in Dothan, AL?

The most popular types of Data jobs in Dothan, AL are:

What job categories do people searching Data jobs in Dothan, AL look for?

The top searched job categories for Data jobs in Dothan, AL are:

What cities near Dothan, AL are hiring for Data jobs?

Cities near Dothan, AL with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Dothan, AL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $150,015 per year, or $72.1 per hour.

Senior Data Scientist

IQUASAR LLC

Fort Novosel, AL • Remote

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

Job description

iQuasar is seeking to fill in a Data Scientist in Reston, VA. At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients in Reston, VA needs a Data Scientist for a permanent position.
  • Position: Data Scientist
  • Clearance: Secret Clearance
  • Location: Reston, VA
  • Position Type: Full Time
Task Description:

This is a full-time 90% remote position, 10% to Brite's office in Reston VA.
Key Responsibilities:

  • Lead development of predictive models using deep learning and classical machine learning algorithms.
  • Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).
  • Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.
  • Work with vector databases and graph databases for knowledge representation and retrieval.
  • Generate and use simulated data to support training and testing of ML models.
  • Perform data standardization, aggregation, and integration from structured and unstructured sources.
  • Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.
  • Document workflows, produce technical reports, and contribute to academic or industry publications.
  • Use version control tools to manage collaborative model development (e.g., GitHub).
  • Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.

Required Qualifications:

  • Minimum 8 years of hands-on experience in AI/ML software development using Python and R.
  • Strong background in deep learning, transformer-based NLP, and classical ML.
  • Experience with RAG, LLMs, and embedding-based retrieval systems.
  • Expertise in data wrangling, Web scrapping, data standardization, and feature engineering.
  • Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).
  • Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
  • Familiarity with version control systems (e.g., Git, GitHub).
  • Experience with cloud computing platforms (AWS, GCP, or Azure).
  • Demonstrated ability to produce high-quality technical documentation and research publications.
  • Master’s degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.

Preferred Qualifications:

  •  Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.
  •  Knowledge of ML Ops practices and model deployment pipelines.
  •  Prior experience in contributing to academic or technical publications.
  •  Exposure to federal or enterprise-scale projects is a plus.

If you are interested in this position, please send me a copy of your latest resume. Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you! 
  • Availability to start a new job
  • Best Rates
  • Contact

Nia
Recruitment Professional
Representing: Brite Group INC
Direct: (703) 463-9141
Main: (703) 962-6001 Ext.: 621
nia.manzoor@iquasar.com
An Equal Opportunity Employer
 "iQuasar is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law"

This is a remote position.