Data Scientist Mid

Cintel Inc; Huntsville (AL); On-site; USD 110,000 - 150,000; Full time

Job summary

Cintel Inc. seeks a Mid-Level Data Scientist to apply data science, statistics, and computational methods to support scientific and technical challenges at Redstone Arsenal. The role emphasizes problem solving, experimentation, and data-driven solutions beyond traditional analytics.

Requirements include a Bachelor’s in a related field and 6+ years of experience, plus an active Top Secret clearance. Strong programming skills in Python, R, or MATLAB are expected for modeling and analysis work.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a physical science, or related field.
• 6+ years of relevant professional experience.
• Active Top Secret security clearance.
• Strong background in data science, statistics, scientific computing, modeling, or a related technical discipline.
• Experience with Python, R, MATLAB, or similar programming/data science tools.

Responsibilities

• Apply data science, statistical, and computational methods to complex scientific and technical problems.
• Develop and implement analytical models, algorithms, and data-driven methodologies.
• Analyze and interpret complex datasets to identify patterns, relationships, and insights.
• Support scientific research, experimentation, modeling, and simulation efforts.
• Develop and validate predictive or statistical models.
• Work with cross-functional teams to translate scientific and technical requirements into data-driven solutions.
• Document methodologies, results, and technical findings.

Skills

Data science

Statistics

Modeling

Scientific computing

Education

Bachelor's degree in related field

Tools

Python

R

MATLAB

Job description

Position Title: Data Scientist Mid

Location: Redstone Arsenal

Position Type: Full-Time

Position Summary:

We are seeking a Mid-Level Data Scientist to support scientific and technical efforts through the application of data science, statistical methods, modeling, and computational techniques. This role will focus more heavily on scientific problem-solving, experimentation, and developing data-driven solutions than traditional data visualization or business analytics.

Responsibilities:

• Apply data science, statistical, and computational methods to complex scientific and technical problems.
• Develop and implement analytical models, algorithms, and data-driven methodologies.
• Analyze and interpret complex datasets to identify patterns, relationships, and insights.
• Support scientific research, experimentation, modeling, and simulation efforts.
• Develop and validate predictive or statistical models.
• Work with cross-functional teams to translate scientific and technical requirements into data-driven solutions.
• Document methodologies, results, and technical findings.

Qualifications:

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, a physical science, or related field.
• 6+ years of relevant professional experience.
• Active Top Secret security clearance.
• Strong background in data science, statistics, scientific computing, modeling, or a related technical discipline.
• Experience with Python, R, MATLAB, or similar programming/data science tools.
• Strong analytical and problem-solving skills.
• Ability to work independently and as part of a technical team.

CULTURE REQUIREMENTS:

• Engineers, Analysts, and Developers at Cintel, Inc. are highly motivated, technical, and self‐organized. We place a lot of trust in our team members to develop technical solutions for ill‐defined problems (i.e. thrive in an environment where the problem is vague, requirements are lacking, and a solution is not obvious). We need problem solvers.
  
• We want our team members to be self‐motivated and eager to learn new skills. If you consider yourself a jack‐of‐all‐trades, and are eager to keep up with the latest trends in technology, you’ll fit right in.
  

ABOUT CINTEL, INC:

Cintel Inc. is a Small Business providing strategies and services to support an array of Government clients in Software Development, Operational/Tactical and Installation/Facilities Energy, Cyber Security, Modeling and Simulation, Data Science, and Programmatic support.

We offer our clients nimble, unique, and value focused solutions with an emphasis on people, connectivity, communication, and teamwork. Our team believes that people drive solutions. By connecting people, information, teams, and experience we deliver solutions that respond to customer needs.

It is the policy of Cintel that all persons are entitled to equal employment opportunity regardless of their race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age (40 or older), disability, genetic information, or veteran status. These policies shall ensure that the practice of nondiscrimination will be applied in the employment, promotion, upgrading, demotion, transfer, layoff, termination, recall or rehire of personnel. Equal employment opportunity applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.