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Entry Level Python Data Science Jobs (NOW HIRING)

Syndicus, Inc.

Data Scientist

Columbia, MD · Hybrid

Experience with Jupyter Notebooks, Python Data Science Libraries. * Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards ...

Tech Consulting

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Machine Learning Engineer

San Francisco, CA · On-site

$30 - $35/hr

Master's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, or a ... Proficiency in at least one programming language such as Python, Java, C, C++, or SQL. * Experience ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Work closely with Data Scientists and Engineers to diagnose and treat data pipeline integrity ... Source origins of data inaccuracies through data pipeline dependencies and python code base

Syndicus, Inc.

Data Scientist

San Antonio, TX · Hybrid

Experience with Jupyter Notebooks, Python Data Science Libraries. * Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

Tampa, FL

$72K - $212K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AIT - AI Data Scientist Senior Associate

New York, NY · On-site

$72K - $212K/yr

... Python, data science libraries, model validation methods, and modern AI/ML approaches, including ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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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 the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 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.

More about Entry Level Python Data Science jobs
What cities are hiring for Entry Level Python Data Science jobs? Cities with the most Entry Level Python Data Science job openings:
What are the most commonly searched types of Python Data Science jobs? The most popular types of Python Data Science jobs are:
What job categories do people searching Entry Level Python Data Science jobs look for? The top searched job categories for Entry Level Python Data Science jobs are:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Data Science Engineer (Python & Databricks) - Q125

Data Science Engineer (Python & Databricks) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Data Science Engineer (Python & Databricks)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a talented Data Science Engineer to leverage Python and Databricks for building machine learning solutions. This role focuses on developing data-driven insights and models within a scalable Spark environment.
Key Responsibilities
  • Develop data science solutions using Python and Databricks for analytics and ML workflows.
  • Build and optimize Spark-based data pipelines to support machine learning model training.
  • Collaborate with data scientists to implement and deploy ML models in production.
  • Analyze large datasets to extract actionable insights using Python and Spark tools.
  • Ensure scalability and performance of data science workflows on Databricks clusters.
  • Monitor and refine ML solutions to maintain accuracy and efficiency over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Data Science Engineer with Python and Databricks.
  • Proficiency in building ML models and data pipelines using Spark on Databricks.
  • Experience with Python for data analysis, modeling, and pipeline development.
  • Strong understanding of data science and machine learning integration in distributed systems.

Preferred Qualifications
  • Familiarity with advanced Databricks features like Delta Lake or MLflow for ML workflows.
  • Exposure to cloud platforms like AWS or Azure for hosting Databricks environments.
  • Knowledge of statistical modeling or deep learning frameworks like TensorFlow.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Data Science Engineer, Python, Databricks, Spark, Machine Learning

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