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Online Data Science Jobs in Bothell, WA (NOW HIRING)

Microsoft

Principal Data Scientist - CoreAI

Redmond, WA · On-site

$188K - $304K/yr

Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product ...

Staffingine LLC

Data Scientist

Redmond, WA · On-site

Required Skills: * 5+ years of experience in Data Science * Strong Python (Pandas, NumPy, Scikit-learn) * Good SQL skills * Experience in Machine Learning & Statistical Modeling * Experience with ...

Microsoft

Senior Data Scientist - FDE

Redmond, WA · On-site

Apply the latest advancements in AI and data science to solve problems at scale Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we ...

PACCAR Inc

Data Scientist

Renton, WA · On-site

$125 - $150/hr

Master's in Data Science, Mathematics/Statistics, Computer Science, or related field preferred. * 5+ years of experience as a Data Analyst or Associate Data Scientist required; previous Data Science ...

Opendoor

Data Scientist

Seattle, WA · On-site

$169K - $233K/yr

We've built an end-to-end online experience that has already helped thousands of people and we're just getting started. Data Scientist, Pricing Location: Hyrbrid 4 onsite, 1 remote Seattle WA.

Snap, Inc.

Data Scientist, Level 4

Seattle, WA · On-site

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... Experience in a product-focused role at a social media, online advertising, digital media and/or ...

Weyerhaeuser

Data Scientist

Seattle, WA · On-site

Design, execute, and analyze online and offline experiments, including A/B testing, causal inference, and counterfactual analysis, to evaluate the impact of data science solutions on business ...

Weyerhauser Co

Data Scientist

Seattle, WA · On-site

Design, execute, and analyze online and offline experiments, including A/B testing, causal inference, and counterfactual analysis, to evaluate the impact of data science solutions on business ...

Snapchat

Data Scientist, Level 4

Seattle, WA · On-site

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights ... Experience in a product-focused role at a social media, online advertising, digital media and/or ...

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Online Data Science information

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many roles require proficiency in tools like Python, R, and SQL, and a strong understanding of data analysis and visualization. Remote data science positions are available across various industries and typically require a relevant degree or experience.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require on-site collaboration or access to specific hardware or data security protocols.

What are the most commonly searched types of Data Science jobs in Bothell, WA?

The most popular types of Data Science jobs in Bothell, WA are:

What cities near Bothell, WA are hiring for Online Data Science jobs?

Cities near Bothell, WA with the most Online Data Science job openings:

Online Data Science jobs near you

Principal Data Scientist - CoreAI

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

$188K - $304K/yr

Full-time

Re-posted 13 hours ago

Key responsibilities

  • Supply executives with time-critical analyses that steer major investment decisions.

  • Identify and prioritize high ROI data opportunities for your individual work and the broader team.

  • Operationalize models and reporting.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

71st of 247 rated software companies

Job description

Overview
At CoreAI, we empower developers and organizations to shape the future with Artificial Intelligence (AI). Our Growth and Data Science team spans both Microsoft's Developer Division and AI Foundry. We accelerate CoreAI's mission by delivering insights, reporting, models, and tools that guide product strategy and unlock growth across our developer ecosystem.
We're looking for a Principal Data Scientist - CoreAI with a track record of cross-team partnership, effective communication with engineering, executive leadership and sales, the ability to translate product questions into targeted data science investigations, and the ability to independently identify/execute/automate insightful analysis that improves Microsoft's developer-focused AI suite and drives product growth.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
  • Supply executives with time-critical analyses that steer major investment decisions.
  • Drive alignment across executives and diverse stakeholders through trusted partnerships, compelling analysis, and effective communication.
  • Identify and prioritize high ROI data opportunities for your individual work and the broader team.
  • Contribute actively to the infrastructure and culture needed to scale quantity and quality of data insights across CoreAI.
  • Mentor other data scientists, engineers, and PMs.
  • Operationalize models and reporting.
  • Leverage AI to accelerate workflows and amplify team productivity.

Qualifications
Required/Minimum Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
      • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
        • OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred/Additional Qualifications:
  • 5+ years of experience leading data science and analytics projects that delivered measurable product and growth wins.
  • 5+ years of experience analyzing, visualizing, and modeling large-scale data using SQL, Python, or R.
  • 5+ years of experience designing and analyzing experiments and causal inference studies.
  • 3+ years of experience contributing to scaled data pipelines supporting operationalized reports, models and analyses.
  • Experience using AI tools in data science and analytics workflows.
  • Experience both prototyping and deploying data products.

Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

What Microsoft employees say

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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