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Data Mining Jobs in Bothell, WA (NOW HIRING)

ZS

Advanced Data Science Consultant

Bellevue, WA · On-site

$175K - $195K/yr

A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). * A proficiency in at least one ...

Amazon

Applied Scientist, Pricing Science

Seattle, WA · On-site

... data mining, parallel and distributed computing, high-performance computing - 2+ years of hands-on predictive modeling and large data analysis experience - Experience in solving business problems ...

ZS

Advanced Data Science Associate

Bellevue, WA · On-site

$105K - $119K/yr

A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.). * A proficiency in at least one ...

Microsoft

Senior Data Scientist

Redmond, WA · On-site

$119K - $234K/yr

Leverage expertise to measure the performance of Copilot, identify failure modes and novel mitigation strategies, including data mining, prompt engineering, LLM as a judge, and classifier training.

Snapchat

Data Scientist, Level 4

Bellevue, WA

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

New

Snap, Inc.

Data Scientist, Level 4

Seattle, WA · On-site

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

New

Meta

Data Scientist, Product Analytics

Bellevue, WA

$177K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

Snapchat

Data Scientist, Level 4

Seattle, WA

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

New

Meta

Data Scientist, Product Analytics

Seattle, WA

$177K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

Snap, Inc.

Data Scientist, Level 4

Bellevue, WA

Apply your expertise in quantitative analysis, data mining, and statistical modeling to deliver impactful, objective, and actionable data insights that enable informed business and product decisions

New

Meta

Data Scientist, Product Analytics

Bellevue, WA

$147K/yr

Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of ...

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All JobsData Mining JobsData Mining Jobs in Bothell, WA

Data Mining information

See Bothell, WA salary details

$57K

$78.3K

$99.5K

How much do data mining jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data mining in Bothell, WA is $78,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,500.00 and $95,000.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications or training.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science or data mining.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Bothell, WA? The most popular types of Data Mining jobs in Bothell, WA are:
What are popular job titles related to Data Mining jobs in Bothell, WA? For Data Mining jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Bothell, WA look for? The top searched job categories for Data Mining jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Mining jobs? Cities near Bothell, WA with the most Data Mining job openings:
Data Mining jobs near you

Advanced Data Science Consultant

ZS

Bellevue, WA • On-site

$175K - $195K/yr

Full-time

Posted 18 days ago

Job description

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. Here you'll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client-first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.
ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership.
What You'll Do
  • Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality.
  • Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information.
  • Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate findings.
  • Contribute to the assessment of emerging datasets and technologies that impact our analytical platform.
  • Engage in the development of specific assets/accelerators that foster scalability.
  • Contribute to advancing thought leadership through research support and publication assistance.
  • Provide guidance and mentorship to Associate team members.

What You'll Bring
  • 5 or more years of relevant data science professional work experience; Master's preferred.
  • A robust academic performance with coursework emphasizing analysis and quantitative skills.
  • A knowledge of big data, advanced analytical concepts, and algorithms (e.g., text mining, social listening, recommender systems, predictive modeling, etc.).
  • A proficiency in at least one programming language (e.g., Java/Python/R).
  • Experience with tools/platforms such as the Hadoop eco system, Amazon Web Services or database systems.
  • A proficiency in agile project planning and project management techniques.
  • Experience with Gen AI, LLMs, RAG preferred
  • Experience in client interaction, crafting project proposals, and leading teams.
  • Fluency in English.

Additional Skills:
  • Relevant domain knowledge encompassing areas such as healthcare, transportation, technology, insurance, or related expertise/experience.

How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Hybrid working model:
ZS is committed to a Flexible and Connected way of working. ZSers are onsite at clients or ZS offices three days a week. Combined flexibility to work remotely two days a week is also available. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
How you'll grow:
  • Cross-functional skills development & custom learning pathways
  • Milestone training programs aligned to career progression opportunities
  • Internal mobility paths that empower growth via s-curves, individual contribution and role expansions

Perks & Benefits:
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well-being, financial future, time away, and professional development. With robust skills-building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you'll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.
Hybrid working model:
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.
Travel:
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.
Considering applying?
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems-the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.
If you're eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.
To complete your application:
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.
NO AGENCY CALLS, PLEASE.
Find Out More At:
www.zs.com

About ZS

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

Evanston, IL, US

Year founded

1983

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