2

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

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

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ...

... entry-level technical assistance on various environmental issues. * Work on multiple projects ... Bachelor's Degree in Environmental Science, Geology, Chemistry, Natural Resources Management ...

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

A bachelor's degree in Computer Science, Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field. * Strong analytical and problem-solving abilities ...

Insights& Data From your first day, you could be contributing to real client initiatives designing ... Abachelor-s degree in Computer Science, Software Engineering, DataAnalytics, Quality Engineering ...

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

next page

Showing results 1-20

Entry Level Data Scientist information

See Bothell, WA salary details

$51.4K

$184.5K

$272.2K

How much do entry level data scientist jobs pay per year?

As of Jul 10, 2026, the average yearly pay for entry level 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 Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

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

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

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

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

What are the most commonly searched types of Data Scientist jobs in Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What are popular job titles related to Entry Level Data Scientist jobs in Bothell, WA? For Entry Level Data Scientist jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Scientist jobs in Bothell, WA look for? The top searched job categories for Entry Level Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Entry Level Data Scientist jobs? Cities near Bothell, WA with the most Entry Level Data Scientist job openings:
Junior Data Scientist/data Analyst/Java full stack developer

Junior Data Scientist/data Analyst/Java full stack developer

SynergisticIT

Redmond, WA โ€ข On-site

Other

Re-posted 14 days ago


Job description

โ€œGhosted by companies or lack of Interviews? Start getting offersโ€ - Get Hired with a Process which Works ! Many job seekers assume the tech market has shut down, but the truth is companies are still hiring โ€” theyโ€™re just being more selective. Employers want candidates who demonstrate practical skills, confidence, and readiness. That means only the most prepared, polished, and employerโ€‘ready candidates get through. Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: โ€œalmost hiredโ€ over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges donโ€™t teach it. They teach how to codeโ€”but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you donโ€™t know what the interview is truly measuring. Interviews rarely test โ€œcan you write code at home.โ€ They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is โ€œI reach interviews but donโ€™t clear them,โ€ you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You donโ€™t need to be perfectโ€”you need to show you can think, collaborate, and deliver. Thatโ€™s why guided mock interviews and structured interview coaching can be a game-changer. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in โ€œscreen round limboโ€ Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who havenโ€™t interviewed in years and feel rusty Career changers who fear โ€œIโ€™m behind CS gradsโ€ (often untrue with support) SynergisticIT provides support for candidates navigating STEM OPT extension, H1B filing, and Green Card processes (where applicable), which can matter when timing is critical. If youโ€™re tired of failing interviews and want a structured plan to convert interviews into offers, start here: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ Because getting hired isnโ€™t about trying harderโ€”itโ€™s about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume.