2

Entry Level Python Data Science Jobs in Huntsville, AL

Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other ... Experience with programming languages, such as • JavaScript and Python. * Experience with full ...

AI / Data Engineer

Huntsville, AL · On-site

$112K - $135K/yr

Data Science Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse is ... Experience with Python, FastAPI, LangChain, LlamaIndex, Azure AI, AWS, Databricks, Snowflake ...

Data Engineer Associate

Huntsville, AL · On-site

$115K - $138K/yr

... Data Science, Software Engineering, Computer Engineering, Systems Engineering, Mathematics ... such as Python, Java, SQL, or similar • Familiarity with databases, data structures, data ...

Network Data Analyst

Huntsville, AL · On-site

$69K - $73K/yr

Bachelor's degree in Business, Economics, Data Science, or a related field (Data Analytics ... Experience with programming languages such as Python. * Familiarity with cloud platforms ...

Bachelor's degree or higher in engineering, science, or math. Experience Requirements: * 10+ years ... Working knowledge programming languages (C++, MATLAB, Python, or STK) * Proficiency with Linux and ...

... Data Science, Software Engineering, or a related field. * Two (2) years of experience in software development, data engineering, or AI projects. * Proficiency in programming languages such as Python ...

next page

Showing results 1-20

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 Jun 8, 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, and why are they important?

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 May 2026, with employment types broken down into 3% Internship, 89% Full Time, and 8% Part Time. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $120,143 per year, or $57.8 per hour.
Data Scientist

Data Scientist

Chipton Ross

Huntsville, AL • On-site

Full-time

Posted 11 days ago


Job description

Job Description
Job #218100
Chipton-Ross is seeking a Data Scientst for a contract opportunity in Huntsville, AL.
BASIC QUALIFICATIONS (REQUIRED• SKILLS/EXPERIENCE)
  • 2+ years experience working with relational database management systems (Oracle).

2+ years experience with Snowflake, Palantir, and/or Alteryx.
POSITION RESPONSIBILITIES
  • Perform data extraction, transformation, and analysis using Snowflake, Palantir, and other enterprise platforms to support business operations, supply chain visibility, program performance, and financial analysis.
  • Utilize project management tools such as Azure Dev Ops or Jira for coordinating and prioritizing tasks across the BI organization Support self-service analytics initiatives by defining data requirements, creating documentation, and establishing data-quality and governance practices.
  • Identify analytics gaps, process bottlenecks, and improvement opportunities; recommend solutions that enhance efficiency across programs and functional organizations.
  • Coordinate with IT, data engineering, and other technical teams to ensure BI tools, datasets, and data pipelines meet business needs-without requiring deep data-architecture ownership.
  • Present findings and recommendations to executives and cross-functional audiences in clear, business-oriented language.
  • Stay current on BI, analytics, visualization, and data driven program management best practices.

PREFERRED QUALIFICATIONS (DESIRED SKILLS/EXPERIENCE)
  • Strong critical thinking and problem-solving skills.
  • Experience working across cross-functional teams to influence outcomes.
  • Ability to analyze large datasets, uncover trends, and present data-driven insights.
  • Experience with project management tools (ADO, Jira) • Knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing best practices Experience in • Aerospace & Defense, Manufacturing, or Supply Chain industries.
  • Experience utilizing SQL for data extraction and database management.
  • Experience with programming languages, such as • JavaScript and Python.
  • Experience with full-stack application development.

REQUIRED EDUCATION
  • Accredited Bachelor's Degree

WORK HOURS
  • Full-Time
  • 9/80 work schedule
  • 1st Shift

ADDITIONAL INFORMATION
  • Employment will be contingent on clearing a drug screen and background check. Both must clear prior to start date.
  • Candidates responding to this posting must currently possess the eligibility to work in the United States. No third parties please.

For more information, please apply or contact:
Zachary Fasano 800.927.9318 x252
zfasano@chiptonross.com
Chipton-Ross provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, protected veteran status, genetic information, or any other characteristic protected by Federal, State or local law. This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training, assignment, promotions, compensation, benefits, discipline, and terminations.

Chipton-Ross logo

About Chipton-Ross

Sourced by ZipRecruiter

Chipton-Ross, based in El Segundo, California, is a leading provider of staffing and recruitment services in the US. The company is renowned for its specialization in fields like engineering, information technology, aircraft manufacturing, and other technical industries. Founded in 1983, Chipton-Ross has grown to become a recognized name in the national recruitment arena with a reputation for integrity, quality, and excellence in management. The company's mission is to provide cost-effective staffing solutions that allow their clients to maximize the power of their people, enhancing both perspective and productivity.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

El Segundo, CA, US

Year founded

1983