2

Entry Level Python Data Science Jobs in Huntsville, AL

This role supports the development of data-intensive web applications that combine Python backends ... Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information ...

New

This role supports the development of data-intensive web applications that combine Python backends ... Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information ...

New

This role supports the development of data-intensive web applications that combine Python backends ... Bachelor 's degree in Computer Science, Software Engineering, Computer Engineering, Information ...

New

Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related ... Proficiency in programming languages such as Python, R, or Java. * Experience with machine learning ...

Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related ... Proficiency in programming languages such as Python, R, or Java. * Experience with machine learning ...

Machine Learning Engineer

Huntsville, AL · On-site

$125 - $145/hr

... data science team. In this role, you will leverage cutting-edge AI and machine learning frameworks ... Proven experience in developing machine learning models using Python with frameworks such as ...

New

Showing results 21-40

Entry Level Python Data Science information

See Huntsville, AL salary details

$13

$57

$85

How much do entry level python data science jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for entry level python data science in Huntsville, AL is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $47.60 and $65.62 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an entry level Python data scientist?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are popular job titles related to Entry Level Python Data Science jobs in Huntsville, AL? For Entry Level Python Data Science jobs in Huntsville, AL, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Huntsville, AL look for? The top searched job categories for Entry Level Python Data Science jobs in Huntsville, AL are:
Infographic showing various Entry Level Python Data Science job openings in Huntsville, AL as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 89% In-person, 3% Hybrid, and 8% Remote job distribution, with an average salary of $120,143 per year, or $57.8 per hour.

Full-time

Re-posted 13 days ago


Job description

deciBel Research has an immediate opening for a Radar Data Analyst in Huntsville, AL.

Position Description:

deciBel Research is seeking an experienced Radar Data Analyst or Systems Engineer to perform analyst functions including information gathering, data modeling, project testing, and creation of performance measurements to support project objectives.

Position Responsibilities

  • Creates and maintains analytical tool sets, including verification and validation activities
  • Captures, develops, and documents some or all the following: data definitions, tool documentation, process procedures and data quality requirements
  • Applies analytic techniques in the evaluation of project objectives or contributes to the implementation of strategic direction
  • May write code and tools to preprocess, clean, and analyze data
  • Apply data modeling and data virtualization principles
  • Generally, conduct quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Develop reports and deliverables for management and communicate with stakeholders

Education Requirements:

Bachelor's degree or higher in engineering, science, or math.

Experience Requirements:

  • 10+ years of related experience
  • Data engineering experience working with large amounts of structured and unstructured data
  • Knowledge and/or experience in applying analytic methodologies and principles
  • Working knowledge of DOD and Military sensors, including, but not limited to radar and EOIR
  • Working knowledge programming languages (C++, MATLAB, Python, or STK)
  • Proficiency with Linux and Windows
  • Ability to communicate complex technical material to technical and non-technical stakeholders.
  • Ability to work effectively in a collaborative, team-oriented environment.

Special Skills Desired:

  • Experience with test operations & execution
  • Experience with Single Integrated Air Picture metrics, track accuracy metrics, track filtering, or data association 2+ years programming experience in Python, Unix/Linux, C++, MATLAB, or STK
  • Experience with Link-16, the Navy's Cooperative Engagement Capability (CEC) system , or the Army's Integrated Battle Command System
  • Proactive self-starter capable of finding and solving problems with little guidance, including learning new programming languages as required DoD Analyst background

Applicant selected must have an active Secret security clearance. Must be a U.S. Citizen.