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Data Science Entry Level Remote Jobs in Seattle, WA

BECU

Data Scientist

Tukwila, WA · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

micro1 AI

Digital Chemistry Specialist - Remote

Kent, WA · Remote

$90 - $120/hr

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... data interpretation within medicinal chemistry. * Assess AI-generated outputs for scientific ...

micro1 AI

AI Training Specialist - Life Sciences

Kent, WA · Remote

$90 - $120/hr

Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science. * Experience collaborating in multidisciplinary or remote project environments is ...

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All JobsData Science JobsData Science Entry Level Remote JobsData Science Entry Level Remote Jobs in Seattle, WA

Data Science Entry Level Remote information

What challenges do entry-level data scientists face when working remotely, and how can they overcome them?

Entry-level data scientists working remotely often encounter challenges such as limited access to mentorship, difficulty in collaborating on complex projects, and adjusting to asynchronous communication. To overcome these, it's important to proactively seek guidance from senior team members through regular check-ins, participate actively in team meetings and online forums, and document your work thoroughly for transparency. Leveraging collaborative tools like shared code repositories and communication platforms can also help maintain strong connections with your team and ensure project alignment.

What skills and qualifications are needed to thrive as an entry-level remote data scientist?

To thrive as an entry-level remote Data Scientist, you need a solid background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree or certification. Familiarity with tools like Jupyter Notebook, SQL databases, and machine learning libraries such as scikit-learn or TensorFlow is commonly required. Strong problem-solving abilities, communication skills, and self-motivation are crucial soft skills for remote collaboration and project management. These competencies enable effective data-driven insights, seamless teamwork, and measurable contributions in a distributed work environment.

What is the difference between Data Science Entry Level Remote vs Data Analyst Entry Level Remote?

AspectData Science Entry Level RemoteData Analyst Entry Level Remote
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentRemote, collaborative teams, often with cross-functional departmentsRemote, often working independently or with business teams
Employer & Industry UsageTech companies, finance, healthcare, e-commerceBusiness, marketing, finance, healthcare

While both roles are entry-level remote positions involving data, Data Science Entry Level Remote focuses on programming, machine learning, and predictive modeling, whereas Data Analyst Entry Level Remote emphasizes data visualization, reporting, and interpreting data for business insights. Candidates should choose based on their skills and career interests.

What is a data science entry level remote job?

Data science entry level remote jobs are positions suitable for individuals who are just starting their careers in data science and prefer or require the flexibility to work from home or any location outside the traditional office setting. These roles typically involve tasks such as data cleaning, basic statistical analysis, creating simple data visualizations, and assisting with machine learning projects under supervision. Entry level data scientists often work closely with more experienced team members and use tools like Python, R, SQL, and Excel. Remote roles require good communication skills and self-motivation, as collaboration happens online. These positions are a great way to gain practical experience and develop technical skills in the field of data science.
What are popular job titles related to Data Science Entry Level Remote jobs in Seattle, WA? For Data Science Entry Level Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Entry Level Remote jobs in Seattle, WA look for? The top searched job categories for Data Science Entry Level Remote jobs in Seattle, WA are:
Data Science Entry Level Remote jobs near you
Infographic showing various Data Science Entry Level Remote job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Data Scientist

BECU

Tukwila, WA • On-site, Remote

$75K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

BECU rating

8.7

Company rating: 8.7 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

Job description

Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?
Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference.
While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU.


You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities.


PAY RANGE

The Target Pay Range for this position is $96,900.00-$118,400.00 annually. The full Pay Range is $75,300.00 - $140,100.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

BENEFITS - because people helping peoplestarts with supporting you

  • 401(k) Company Match (up to 3%)

  • 4% annual contribution to your 401(k) by BECU

  • Medical, Dental and Vision (family contributions as well)

  • PTO Program + Exchange Program

  • Tuition Reimbursement Program

  • BECU Cares volunteer time off + donation match

To join our dynamic team, we require candidates to be residents of WA,CA, VA, NC,OR, ID, AZ, TX, GA, or SC.If you're located in Washington state and within a reasonable driving distance from Tukwila, we are requesting that you come into our HQ on Tuesdays & Wednesdays.For those candidates that live outside the commute distance of TFC and in any of our approved remote work locations, this role will be remote. Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment.

IMPACT YOU'LL MAKE

As a Data Scientist at BECU, you'll help shape how we understand and engage with our members by turning complex data into meaningful insights and predictive solutions. You'll build models that identify opportunities to strengthen member relationships, improve onboarding experiences, and support financial wellbeing. Working closely with cross-functional partners across marketing, analytics, and product teams, you'll uncover patterns that help BECU anticipate member needs and drive smarter decisions. Your work will power experimentation, predictive insights, and data-driven strategies that elevate how we serve our members. Through advanced analytics and storytelling, you'll help transform data into impactful member experiences.

WHAT YOU'LL DO

  • Build Predictive Models:Develop, validate, and deploy statistical and machine learning models that help identify member behaviors, such as engagement patterns, product adoption opportunities, and potential member dormancy or attrition.

  • Design Experiments and A/B Tests:Lead methodology design for controlled experiments to evaluate onboarding strategies, engagement programs, and marketing initiatives while ensuring statistical rigor and actionable insights.

  • Transform Data into Insights:Translate complex analytical findings into clear, compelling narratives using visualizations, dashboards, and presentations that support strategic decision-making.

  • Collaborate Across Teams:Partner with marketing, product, analytics, and engineering teams to define business problems, gather requirements, and deliver data-driven solutions that improve member experiences.

  • Develop Advanced Datasets:Build and maintain intermediate to complex datasets-including structured and unstructured data-using tools such as Python, SQL, or Spark to support modeling and analysis.

  • Explore Data for Strategic Opportunities:Use analytical research and exploratory techniques to uncover trends, opportunities, and emerging insights that support divisional and organizational goals.

  • Support Data Science Excellence:Participate in peer reviews, knowledge-sharing forums, and data science communities to promote high-quality analytics practices and continuous learning.

  • Manage Model Lifecycle:Monitor model performance, evaluate results, and optimize models over time to ensure continued accuracy, reliability, and business value.

  • Adapt and Support Business Needs:Take on additional responsibilities and initiatives that support evolving data science priorities across the organization.

This isn't just about ticking off tasks on a list. It's about making a significant, positive change in BECU's journey, where your contributions are valued, and your growth is continually fostered.

WHAT YOU'LL GAIN

  • The opportunity to apply advanced analytics and machine learning to real-world member engagement and financial wellbeing challenges.

  • A chance to work on high-impact predictive models that directly influence onboarding experiences, engagement strategies, and product recommendations.

  • 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 marketing, product, analytics, and engineering to solve meaningful business problems.

  • An environment that encourages innovation, experimentation, and continuous learning in data science and analytics.

  • The ability to make a direct impact on how BECU serves and supports its members throughout their financial journey.

QUALIFICATIONS

Minimum Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, or a related field, or equivalent combination of education and experience.

  • Minimum2years of experience in data science, including at least 1 year applying data science in a business or industry settingwith proficiency in programming languages such as Python or R, with the ability to build, test, and deploy analytical models.

  • Working knowledge of statistical analysis and machine learning techniques, with the ability to apply them to real-world business problems.

  • Provencommunication, presentation, and project management skills, with the ability to translate complex analytical findings into clear insights for diverse stakeholders.

JOIN THE JOURNEY

Ready to make an indelible impact? Eager to be part of a collaborative and innovative team where your ideas and contributions don't just fill a role but fuel the growth and success of BECU? This is more than a job - it's a chance to elevate your career, skills, and future, all while contributing to the robust operational landscape of BECU.

Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let's achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now. #BECU #YourGrowth #BECUJourney

EEO Statement:


BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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