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Entry Data Scientist Jobs in Bothell, WA (NOW HIRING)

Uw

Research Scientist/Engineer 1 (Temporary)

Seattle, WA · On-site

$27.14/hr

The Research Scientist will support the Cirulli Laboratory by conducting experiments in mice and ... Administrative duties, including but not limited to purchasing, maintaining inventory, data entry ...

Probi

Customer Service Specialist

Redmond, WA · On-site

Rooted in science, and working closely with customers and research partners, Probi aims to empower ... Two years of experience with Order Entry, Data Processing, and Customer Service or Sales.

Probi

Customer Service Specialist

Redmond, WA

$19 - $25.25/hr

Rooted in science, and working closely with customers and research partners, Probi aims to empower ... Two years of experience with Order Entry, Data Processing, and Customer Service or Sales.

City of Seattle, WA

Temporary Data Analyst

Seattle, WA · On-site +1

$47.39 - $55.19/hr

Perform detailed and accurate data entry as needed and identify opportunities to streamline labor ... finance, computer science or a related field (or a combination of education, training and/or ...

City of Seattle

Temporary Data Analyst

Seattle, WA

$47.39 - $55.19/hr

Perform detailed and accurate data entry as needed and identify opportunities to streamline labor ... finance, computer science or a related field (or a combination of education, training and/or ...

Probi AB

Customer Service Specialist

Redmond, WA

$19 - $25.25/hr

Rooted in science, and working closely with customers and research partners, Probi aims to empower ... Two years of experience with Order Entry, Data Processing, and Customer Service or Sales.

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Showing results 1-20

All JobsEntry Data Scientist JobsEntry Data Scientist Jobs in Bothell, WA

Entry Data Scientist information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do entry data scientist jobs pay per year?

As of Jun 20, 2026, the average yearly pay for entry data scientist in Bothell, WA is $184,472.00, according to ZipRecruiter salary data. Most workers in this role earn between $149,200.00 and $190,000.00 per year, depending on experience, location, and employer.

What are Entry Data Scientists?

Entry Data Scientists are professionals at the beginning of their data science careers who use statistical analysis, programming, and data visualization to extract meaningful insights from data. They typically work with large datasets, clean and preprocess data, build and test models, and help solve business problems using data-driven approaches. Entry-level data scientists often collaborate with more experienced data scientists, engineers, and business stakeholders to support projects and improve decision-making processes. They usually have foundational knowledge in mathematics, statistics, and programming languages like Python or R.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining practical experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

What are the key skills and qualifications needed to thrive as an Entry Data Scientist, and why are they important?

To thrive as an Entry Data Scientist, you need a solid grasp of statistics, data analysis, and programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills set successful candidates apart in this role. These competencies enable you to extract actionable insights from data and collaborate effectively with technical and non-technical stakeholders.

What is the difference between Entry Data Scientist vs Data Analyst?

AspectEntry Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Math, Statistics, or related field; strong Excel and data visualization skills
Work EnvironmentCollaborates with data science teams, develops models, and explores dataPrepares reports, interprets data, and supports decision-making
Industry UsageUsed in tech, finance, healthcare, and more for predictive modelingCommon across marketing, finance, and operations for reporting and analysis

Entry Data Scientists focus on building models and applying machine learning techniques, often requiring programming skills. Data Analysts primarily interpret data, create reports, and support business decisions. While both roles work with data, Entry Data Scientists tend to handle more technical tasks involving modeling, whereas Data Analysts focus on data interpretation and visualization.

What types of projects and responsibilities can an entry-level data scientist expect in their first year?

As an entry-level data scientist, you'll typically work on tasks such as cleaning and preprocessing data, building simple predictive models, and assisting with data visualization for reporting. You may collaborate closely with more experienced data scientists, data engineers, and business analysts to help frame business problems into analytical solutions. It's common to contribute to parts of larger projects, such as supporting feature engineering or testing model performance, while learning best practices in coding and data analysis. Over time, you may be given ownership of small projects, which helps build your expertise and prepares you for more complex assignments.

Is 40 too late for data science?

Entry data scientist roles are open to candidates of various ages, and starting a career in data science at 40 is possible with relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in life by gaining certifications, building portfolios, and leveraging prior experience.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret results, develop models, and make strategic decisions. Data scientists with expertise in machine learning, programming, and domain knowledge remain essential for designing and deploying AI solutions effectively. The role is evolving to include managing AI tools and ensuring ethical use of data.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior work experience is not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills. Building a portfolio of projects and gaining practical experience through internships or online courses can improve chances of securing an entry-level role.
What are popular job titles related to Entry Data Scientist jobs in Bothell, WA? For Entry Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Entry Data Scientist jobs in Bothell, WA look for? The top searched job categories for Entry Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Entry Data Scientist jobs? Cities near Bothell, WA with the most Entry Data Scientist job openings:
Entry Data Scientist jobs near you
Research Associate I (Onsite)

Research Associate I (Onsite)

Partner Therapeutics

Lynnwood, WA • On-site

$67K - $82K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

POSITION SUMMARY
The Process Science Department is a group of scientists and subject-matter experts who conduct process and analytical development experiments in support of drug substance and drug product development. This position will work with development scientists in a non-GMP environment.
PRIMARY RESPONSIBILITIES
  • Performs routine and non-routine testing in support of analytical development and process development activities.
  • Provides support to cross-functional project teams, including upstream and downstream scientists, manufacturing, and quality colleagues.
  • Effectively communicates and collaborates with staff scientists.
  • Maintains high-quality and organized records and documentation.
  • Maintains a safe work environment and adheres to all applicable regulations and requirements including compliance with internal Standard Operating Procedures (SOPs), GMP, Health and Safety, WISHA/OSHA, regulatory compliance, company policies, and employment-related laws and statutes.
  • Communicates work through oral presentations and written documentation, including technical reports.
  • Uses professional concepts to complete data entry, data analysis and maintenance of accurate experimental records.

KNOWLEDGE, SKILLS, ABILITIES
Required:
  • Current knowledge of scientific principles, concepts, and laboratory methodologies.
  • Detail-oriented with the ability to independently perform laboratory experiments following Standard Operating Procedures (SOPs).
  • Experience with HPLCs.
  • Team player who communicates effectively and collaborates cross-functionally with stakeholders across departments.
  • Organized self-starter with strong time management skills and the flexibility to adapt to changing business needs.
  • Solid English language communication skills, both oral and written, are required for this highly collaborative role. Willingness and ability to clearly express opinions and ask questions.
  • Excellent soft skills including a bias towards action, the ability and willingness to give and receive constructive feedback, is comfortable working within a diverse team and across multiple functions, exhibits a consistently constructive attitude, and is adaptable and at ease with handling unexpected changes and challenges.
  • Proficient in Microsoft Office applications, particularly Word and Excel, with the ability and willingness to quickly learn and adopt job-specific systems and tools.

Preferred:
  • Experience with fundamental protein analytical methods (HPLC, SEC, SDS-PAGE, UV-Vis Spectrophotometry, etc.)
  • Experience with Empower software

EXPERIENCE & EDUCATION
Required:
  • B.S. or equivalent degree in science (Biology, Chemistry, Biochemistry, etc.) or related field (Chemical Engineering, etc.)

Preferred:
  • 1+ years of experience working in a regulated environment (GMP, GLP, etc.)

PTx is committed to the principles of pay equity and providing competitive compensation for all of our Partners. The current pay range for this position is $67,400 - $82,000: Offers are made within the base pay range applicable at the time. Your salary will vary depending on several factors including your qualifications and experience.
In addition to medical, dental, vision, FSA/DCA, HRA, disability, and life insurance coverage, all full-time, regular Partners enjoy a casual, and Hybrid or Remote workplace program for many roles. We offer a terrific compensation/benefits/perks package which includes an annual cash bonuses, 401k matching, free parking, Seattle-area ORCA pass, tuition assistance, plus rewards for achievement and contribution. To support a healthy work-life balance we also provide a gym subsidy, wellness participation programs, and a generous vacation, sick, and holiday paid time off program in addition to a paid shutdown between the Christmas and New Year's holidays.
Partner Therapeutics is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, sex, age, national origin, veteran status, marital status, sexual orientation, gender identity, disability or any other category prohibited by local, state, or federal law. This policy applies to all aspects of employment, including recruitment, placement, promotion, transfer, demotion, compensation, benefits, social and recreational activities, and termination.

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