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Entry Level Python Data Science Jobs in Nashville, TN

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... The most commonly used technical tools in this position include SQL, Advanced Excel, Python, and ...

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... The most commonly used technical tools in this position include SQL, Python, advanced excel, and ...

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... The most commonly used technical tools in this position include SQL, Advanced Excel, Python, and ...

Urban Science Applications, Inc.

Analyst

Franklin, TN · On-site

... Business Scientists. We empower our clients to turn overwhelming industry data into discovery ... The most commonly used technical tools in this position include SQL, Python, advanced excel, and ...

Pwc

US Tech - FTO Senior Associate

Nashville, TN · On-site

$55K - $187K/yr

Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

nLeague

Epidemiologist

Nashville, TN · On-site

... Data Science, or related field. * Minimum of 2 years of experience in public health and analytics. * Proficiency in analytical and visualization tools (e.g., R, SAS, Stata, Python, and Tableau)

Accenture

Data Protection, A/SA-Evergreen

Nashville, TN

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

CGI Inc.

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

SQL, ETL, data modeling, reporting, and analytics . BS in Computer Science, Engineering, Management ... Software development experience in languages such as Java, .NET, or Python . Experience with ...

Philips

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

Develop scalable data and AI solutions using Databricks, SQL, and Python to support analytics ... You have a Bachelor's degree in Computer Science, Information Systems, Software Engineering ...

Philips

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

Develop scalable data and AI solutions using Databricks, SQL, and Python to support analytics ... You have a Bachelor's degree in Computer Science, Information Systems, Software Engineering ...

Philips North America

AI Solutions Engineer

Nashville, TN · On-site

$107K - $170K/yr

Develop scalable data and AI solutions using Databricks, SQL, and Python to support analytics ... You have a Bachelor's degree in Computer Science, Information Systems, Software Engineering ...

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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 Aug 19, 2026, the average hourly pay for entry level python data science in Nashville, TN is $56.62, according to ZipRecruiter salary data. Most workers in this role earn between $46.68 and $64.33 per hour, depending on experience, location, and employer.

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 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 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 Nashville, TN?

For Entry Level Python Data Science jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Entry Level Python Data Science jobs in Nashville, TN look for?

The top searched job categories for Entry Level Python Data Science jobs in Nashville, TN are:

What cities near Nashville, TN are hiring for Entry Level Python Data Science jobs?

Cities near Nashville, TN with the most Entry Level Python Data Science job openings:

Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Nashville, TN as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $117,774 per year, or $56.6 per hour.

Remote AI / Machine Learning Specialist

TA Staffing

Nashville, TN • Remote

$115K - $140K/yr

Full-time

Posted 22 days ago

Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


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