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Entry Level Python Data Science Jobs in Huntsville, AL

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 ...

Senior Associate, Data Architect

Huntsville, AL · On-site

$62.75 - $83.75/hr

... Science, Physics, Mathematics, Engineering or related fieldor have completed their master's degree ... Basic knowledge of SQL, Python, or similar scripting or query languages. * Foundational ...

... Data Science, Software Engineering, or a closely related technical field Experience • ... in Python and at least one modern web development language or framework (e.g., JavaScript ...

Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ... science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students ...

Collaborate with data scientists to integrate machine learning models into applications. * Design ... Proficiency in Python and experience with its frameworks. * Extensive knowledge of containerization ...

Collaborate with data scientists to integrate machine learning models into applications. * Design ... Proficiency in Python and experience with its frameworks. * Extensive knowledge of containerization ...

Torch Technologies is currently seeking an Entry-Level Radar Engineer to support the Tactical ... and/or data analysis. * Experience using MATLAB, C++, Python, Fortran, or other programming ...

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Entry Level Python Data Science information

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

As of Jul 21, 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 July 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.
AI Engineer

Full-time

Re-posted 10 days ago


Job description

Location: HUNTSVILLE, AL, United States
Date Posted: Mar 4, 2025
Category: Engineering and Sciences
Subcategory: Machine Learning Engineer
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Interim Secret
Clearance Level Must Be Able to Obtain: Secret
Potential for Remote Work: On-Site
Job Description
Description
Seeking an AI Engineer with a strong background in data analytics and product development to join our innovative team in Huntsville, AL. This individual will be responsible for building, optimizing, and deploying AI-driven models, integrating data from multiple sources, and delivering actionable insights to inform strategic decisions. The ideal candidate is passionate about leveraging cutting-edge technologies to solve complex business challenges, has experience bringing AI products to market, and a track record of using data to improve processes, products, and services.
Job Responsibilities:
  • Design, build, and maintain ML/DL models for various AI applications. Continuously refine models for accuracy, efficiency, and scalability.
  • Analyze large datasets to identify patterns and insights. Develop hypotheses, design experiments, and validate findings using statistical methods.
  • Develop and maintain robust data pipelines ensuring data quality and usability. Collaborate with data engineering teams to optimize data infrastructure.
  • Support AI product development from prototyping to deployment and monitoring. Work with product managers, designers, and QA teams to integrate AI features.
  • Ensure scalable and efficient AI models and systems. Address latency and throughput to ensure a high-quality user experience.
  • Collaborate with product management and design teams for intuitive AI features. Translate complex AI functionalities into user-friendly interfaces.
  • Ensure AI solutions comply with privacy regulations (e.g., GDPR, CCPA). Maintain best practices for secure coding, data protection, and ethical AI.
  • Implement monitoring and alerting for AI model performance and product KPIs. Conduct ongoing maintenance to ensure accuracy and reliability.
  • Work with cross-functional teams to translate business requirements into technical solutions. Communicate project status, findings, and roadblocks to stakeholders.
  • Stay current with AI research, tools, and best practices. Recommend emerging AI techniques to enhance product strategies and business objectives.

Qualifications
Education Requirements:
  • Bachelors degree in Computer Science, Data Science, Electrical Engineering, Physics, or a related field and two (2) years' experience; Six (6) years' related experience can be considered in lieu of degree (per contract vehicle).

Clearance Requirements:
  • Must possess an active Secret security clearance or have the ability to obtain one; US Citizenship required.

Required Experience/Skills:
  • 2+ years of experience working on AI, machine learning, or data analytics projects.
  • Proven track record of developing and deploying AI/ML models in a production environment.
  • Experience with product development life cycles and Agile methodologies is a plus.
  • Proficiency in programming languages such as Python, R, or Java.
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Familiarity with SQL and NoSQL databases, and data processing frameworks like Apache Spark or Hadoop.
  • Experience using analytics and visualization tools (e.g., Tableau, Power BI, matplotlib, Plotly).
  • Knowledge of cloud platforms (AWS, Azure, or GCP) for model deployment and data storage (preferred).
  • Strong problem-solving abilities and attention to detail.
  • Excellent communication and interpersonal skills for cross-team collaboration.
  • Ability to work independently and manage multiple projects simultaneously.

Desired Experience/Skills:
  • Master's degree in AI, Data Science, or a related field.
  • Experience with MLOps pipelines and CI/CD.
  • Background in UX/UI collaboration for AI-focused products.