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

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

Position Responsibilities As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people developmentandoperational process ...

Position Responsibilities AsDirector, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused ontechnical and thought leadership, people ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

What you'll do...As Director, Data Science, you will lead and develop a team that enables Walmart Marketplace. This role is focused on technical and thought leadership, people ...

Director, Data Science

Bellevue, WA · On-site

$169K - $338K/yr

The (USA) Director, Data Science leads the development and deployment of advanced analytical models and data-driven strategies to support business objectives. This role oversees the design, testing ...

Software Engineer, Habitat (Online Data)

Seattle, WA · On-site

$130K - $156K/yr

About the team Online Data builds and operates Habitat, the single product surface of Online Data and the system of record for OpenAI's online user data. As OpenAI's scale and product requirements ...

... online search behaviors. * Experience with building machine learning models on large scale data. #MicrosoftAI #Search #MAI #nextplay Data Science IC4 - The typical base pay range for this role across ...

Principal Data Scientist

Redmond, WA · On-site

$188K - $304K/yr

... online business * Influence: engage with stakeholders to produce clear, compelling, and actionable insights and data-science driven workflows that influence product and service improvements. * Make ...

Description Liberty Mutual's US Retail Markets Data Science Excellence team is seeking a Senior Director I, Data Science to serve as a senior individual contributor and thought leader across our ...

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Online Data Science information

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

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.

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.

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.
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:

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 26 days ago


Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.