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Entry Level Python Data Science Jobs in Huntsville, AL

Network Data Analyst

Huntsville, AL · On-site

$55K - $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 ...

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Entry Level Python Data Science information

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$57

$85

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.
Network Data Analyst

Full-time

Re-posted 19 days ago


LG Electronics rating

7.5

Company rating: 7.5 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

69th of 143 rated electronics manufacturers


Job description

Job Summary:
LG Electronics North America is a global leader in technology dedicated to creating innovative solutions for a better life. The Network Data Analyst will manage and optimize data from LG Field Service systems, focusing on building automated data structures and visualizing performance through dashboards and reports.
Responsibilities:
• Design, build, and maintain automated dashboards and performance trackers to support business visibility.
• Utilize business intelligence tools such as Tableau, Google Data Studio, and Google Sheet to develop impactful data visualizations.
• Prepare accurate operational reports and forecasts using BI platforms and ERP systems to help drive performance against goals.
• Streamline and automate planning processes in partnership with analytics teams, leveraging key insights to support continuous improvement.
• Gather, consolidate, and analyze data from multiple sources, transforming it into clear, actionable insights for leadership.
• Support the development and execution of strategies to optimize LG’s preferred network coverage.
• Perform detailed analyses of current processes, systems, and data flows to identify inefficiencies and recommend enhancements.
• Partner with cross-functional stakeholders to design and implement data-driven solutions.
• Develop geographic and territory map visualizations in Tableau to analyze network coverage.
Qualifications:
Required:
• Bachelor’s degree in Business, Economics, Data Science, or a related field (Data Analytics, Business Analytics, Computer Science, etc.)
• Advanced proficiency in Microsoft Excel (VLOOKUP, Pivot Tables, etc.) is required
• Experience with business intelligence tools and dashboard development (e.g., Tableau, Google Data Studio)
• Strong analytical and problem-solving skills with the ability to collaborate effectively across cross-functional teams
• Travel requirement: Typically less than 10%
Preferred:
• Bilingual proficiency in both Korean and English
• Experience using SQL for data querying
• Experience with programming languages such as Python
• Familiarity with cloud platforms, specifically Google Cloud Platform (GCP)
Company:
At LG, we provide products and services aimed at helping people—at home, at work, or wherever life takes them. Founded in 1978, the company is headquartered in Englewood Cliffs, NJ, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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