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Mining Data Analytics Jobs in Seattle, WA (NOW HIRING)

Exposure to sentiment analysis, forecasting/predictive analysis. 2+ years of strong SQL programming are required including mining large amount of data from different sources, perform complex ...

Use analytics and data mining techniques to solve complex problems and drive business decisions. * Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad ...

Use analytics and data mining techniques to solve complex problems and drive business decisions. * Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad ...

Your scope will reach from text classification problems over big data analytics to A/B testing and ... mining and computational linguistics. * Demonstrated success in using or (and preferably ...

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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Showing results 1-20

Mining Data Analytics information

See Seattle, WA salary details

$58K

$79.7K

$101.3K

How much do mining data analytics jobs pay per year?

As of Jul 29, 2026, the average yearly pay for mining data analytics in Seattle, WA is $79,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $96,700.00 per year, depending on experience, location, and employer.

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

What job categories do people searching Mining Data Analytics jobs in Seattle, WA look for? The top searched job categories for Mining Data Analytics jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Mining Data Analytics jobs? Cities near Seattle, WA with the most Mining Data Analytics job openings:
Infographic showing various Mining Data Analytics job openings in Seattle, WA as of July 2026, with employment types broken down into 50% Full Time, 25% Temporary, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $79,661 per year, or $38.3 per hour.

Data Scientist - Full Time Only

Next Level Business Services, Inc.

Redmond, WA • On-site

Full-time

Re-posted 11 days ago


Job description

Company Description

NLB Services offers a wide-range and best-in-class suite of value-based business solutions comprising of IT services, HR solutions, On-site & Off-site Outsourcing and Consulting services that are built on its robust process domain and people management expertise.
At NLB Services, we believe in a work culture that is open and energetic. Our operational methodology is clear and object oriented, blended with flexibility and a proactive attitude to help us focus on developing the right expertise that is required to deliver an unmatched set of services and products. Our team of experts works 24/7 to add value to your existing business and help you grow exponentially.

Job Description

Position Title: Data Scientist

Location: Redmond, WA

Hire Type: Full Time Only  

Salary: Good


Skills:

* 5-7 years work related experience. Advanced degree in Computer Science, Applied Statistics, Mathematics, Engineering or Operations Research. 

* 3 -5 years of development experience in R. Knowledge of ensemble methods and clustering methods such as K-means, Naive Bayes etc.

* Industry experience in Data analytics/BI, Data modeling and visualization, Optimization and statistics.

* Knowledge of Databases with strong working knowledge on SQL and R

* Experience with data manipulation and analysis using Big data technologies like Map Reduce/Hive, Azure ML, Cosmos ML. Knowledge of C#.  

* Experience working with big data and real time/near real time analytics and big data platforms. 

* Proven experience in data mining/data analysis and statistics (percentiles, median, standard deviation, outliers, distributions). Hands on knowledge and experience in building models (propensity, churn, forecasting, cross-sell, up-sell, clustering, segmentation etc.)

*Any background in basic machine learning is a plus.  

* Experience in customer facing interaction is must (Gathering requirements, translating business questions into executable steps)

* Expert with Excel, PowerPoint, PowerPivot, PowerQuery, and other reporting tools. 

* Proven technical strength and creativity - the ability to think outside the box for technical solutions. 

* Strong cross-group collaboration and communication skills - ability to coordinate deliverables across teams. 

* Prior experience with cloud services or cloud data services and/or data analytics projects preferred.  

* Technical skills to ask the right questions and find the right answers & willingness to learn new skills. Development / Coding experience is a plus. 


Responsibilities:

Drive & participate at each stage of Life cycle starts from Data Acquisition to Deployment & Reporting of Statistical and Machine Learning Modelling.

Required to take full ownership of the Model Development

Understand business problem, extract/analyze data, provide insights & recommendations

Generate the Business Insights & Communicate the same to key stake Holders

* Identify and analyze large data sets for data quality, data sufficiency and data integrity etc. to support business decisions.  

Required to provide the Technical support with regards.to. ML Platforms & Cloud technologies, Domain to other team members.

Should able to come up with tailor made solutions for specific business problems

Required to prepare detailed technical and process documentation


Desirable Technical Skills

Preferred experience solving business problems using modeling, text/data mining on large scale real-world business data sets


Mandatory Functional Skills

Ability to work independently or to manage a virtual team that will research innovative solutions to challenging business problems 

Ability to collaborate with partners and drive analytic projects end to end, 

Superior communication skills, both verbal and written 

Attention to detail and data accuracy



Thanks,

Ajay Singh


Additional Information

All your information will be kept confidential according to EEO guidelines.


Next Level Business Services logo

About Next Level Business Services

Sourced by ZipRecruiter

We are one of the fastest growing transformational workforce solution providers headquartered in Atlanta, with presence across 15 global locations. Powered by the largest organic talent supplementation engine, strong digital capabilities and 8000+ strong team, NLB Services helps global enterprises reimagine their businesses to thrive in the digital age.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007