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Entry Level Python Data Science Jobs in Seattle, WA

Sonsoft Inc

Data Science/Analytics

Seattle, WA

Hadoop, Spark, Python * Tableau/Spotfire/Qlikview * Nielsen/IRI/Market Research Data understanding Job responsibilities: * Understand business requirement from client and translate it to appropriate ...

Conversica, Inc

Data Scientist

Seattle, WA · On-site

... science interns in the areas of natural language processing, natural language generation, and deep ... Advanced proficiency with Python for data analysis * Must be fluent in either keras or tensorflow

ZS

Advanced Data Science Associate

Bellevue, WA · On-site

$105K - $119K/yr

What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... A proficiency in at least one programming language (e.g., Java/Python/R). * Experience with tools ...

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Entry Level Python Data Science information

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$15

$66

$98

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

As of Jul 24, 2026, the average hourly pay for entry level python data science in Seattle, WA is $66.71, according to ZipRecruiter salary data. Most workers in this role earn between $55.00 and $75.77 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 Seattle, WA? For Entry Level Python Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Seattle, WA look for? The top searched job categories for Entry Level Python Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Python Data Science jobs? Cities near Seattle, WA 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 Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $138,762 per year, or $66.7 per hour.
Artificial Intelligence Engineer

Artificial Intelligence Engineer

Staffingine LLC

Bellevue, WA • On-site

$129K - $155K/yr

Contractor

Posted 17 days ago

Job description

Job Title: Artificial Intelligence Engineer
Job Location: Bellevue - Washington
Job Type: Contract

Job Description:

  • Lead the development and deployment of machine learning models and analytical solutions for business problems.
  • Partner with stakeholders to identify opportunities for data science to add value.
  • Design experiments and AB tests to evaluate product and feature performance.
  • Build predictive models optimization algorithms or forecasting systems as needed.
  • Analyze large complex datasets to derive actionable insights.
  • Communicate technical findings clearly to nontechnical audiences.
  • Mentor and support junior data scientists and analysts.
  • Ensure best practices in code documentation and reproducibility.

Required Qualification

  • Masters or PhD in Computer Science Statistics Mathematics or a related field.
  • Proficiency in Python or R and strong SQL skills.
  • Experience with ML frameworks eg scikitlearn XGBoost TensorFlow PyTorch.
  • Strong knowledge of statistics experimental design and causal inference.
  • Handson experience with data visualization tools eg Tableau Plotly Dash.
  • Ability to translate business questions into analytical problems.
  • Excellent communication and collaboration skills.

Mandatory Skills : Python - Data Science