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Entry Level Python Data Science Jobs in Seattle, WA

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95K - $106K/yr

Technical understanding of machine learning, statistics, data science, and related fields * Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to ...

BECU

Data Scientist

Tukwila, WA · On-site

$75K - $140K/yr

Hands-on experience building data science solutions within a modern cloud data ecosystem including Snowflake, Azure, and Python-based tools. * Collaboration with cross-functional teams including ...

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Hands-on experience building data science solutions within a modern cloud data ecosystem including Snowflake, Azure, and Python-based tools. * Collaboration with cross-functional teams including ...

TikTok

Data Scientist - TikTok Ads

Seattle, WA · On-site

$170K - $277K/yr

Responsibilities About The TikTok Monetization Product Data Science Team We're the TikTok ... R, Python, MATLAB) and database languages (e.g. SQL) Preferred Qualifications: - Demonstrated ...

itD Tech

Data Scientist V (6223)

Bellevue, WA · On-site

Proven experience using data science to support 0-to-1 product development . * Strong proficiency in Python for data analysis, statistical modeling, and automation. * Advanced experience with SQL for ...

New

Bristol Myers Squibb

Senior Data Scientist

Seattle, WA · On-site

Build data science prototypes using Python, SQL, notebooks, APIs, and AWS-aligned data services. * Support sandboxed data problem solving in non-production environments, enabling agents and analysts ...

Department of Human Services

Data Scientist

Seattle, WA · On-site

$90K/yr

... SQL, Python, Excel, Power BI, or similar platforms) to extract, clean, integrate, and format ... Mathematics, statistics, computer science, data science or field directly related to the position.

SynergisticIT

Python Programmer - Remote

Seattle, WA · On-site

... data Science/Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelor ... Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant ...

Vibotek LLC

Data Engineer

Seattle, WA

$130K - $156K/yr

... Science) team to provide feature ready datasets. Requirnments: * 1. Hands-on experience with ... Python skills; knowledge of data quality frameworks.

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All JobsEntry Level Python Data Science JobsEntry Level Python Data Science Jobs in Seattle, WA

Entry Level Python Data Science information

See Seattle, WA salary details

$15

$66

$98

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

As of Jul 4, 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:
Entry Level Python Data Science jobs near you
Infographic showing various Entry Level Python Data Science job openings in Seattle, WA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $138,762 per year, or $66.7 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA • On-site

$95K - $106K/yr

Full-time, Part-time

Posted 28 days ago

Job description

Immigration / Work Authorization Notice:Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.
iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.
What You'll Be Part Of:
An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.
Responsibilities:
  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:
  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:
  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually
We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.
For more information on total rewards package, go HERE
Hybrid & Flexible Workplace Policy
iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.
Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.
#LI-Remote
If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!
iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.
California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.

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