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Data Mining Jobs in Bothell, WA (NOW HIRING)

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users. Understanding of machine learning techniques ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

BELLEVUE, WA Primary Responsibilities • Support Data Science team by applying data mining techniques, feature engineering, algorithm optimization and scaling machine learning models in big data ...

The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key ...

The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. They will partner with various key ...

Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling * Advise clients & internal teams on the right analytics ...

Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, * Advise clients & internal teams on the right analytics ...

Adept in quick starting optimization options to solve business problems using latest technologies in data mining and statistical modeling, * Advise clients & internal teams on the right analytics ...

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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 19, 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 cities near Bothell, WA are hiring for Data Mining jobs? Cities near Bothell, WA with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Bothell, WA as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $78,252 per year, or $37.6 per hour.
Principal Data Scientist

Principal Data Scientist

DevSelect

Redmond, WA • On-site

Full-time

Posted 27 days ago


Job description

Our Client is looking for Data Scientists who are dedicated to data mining techniques for various applications serving enterprise and consumer end-users.
Understanding of machine learning techniques including predictive modeling, text and image mining, clustering, deep learning, anomaly detection, forecasting methods and other advanced statistical techniques.
You will work with data from diverse structured and unstructured data sources in both batch and streaming modes, and various formats including tabular, image/video, audio, text and time series etc...
Qualifications:
  • PhD degree in Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or similar technical field
  • Knowledge of machine learning and data mining techniques in one or more areas of statistical modeling methods, time series, text mining, optimization, information retrieval
  • Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains
  • Telecom experience desired
  • Distributed computing systems knowledge is a plus