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Data Mining Jobs in Tennessee (NOW HIRING)

Lancesoft

Senior Data Scientist

Chattanooga, TN · On-site

$70 - $86.25/hr

Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligence. * In ...

gleason

Supplier Quality Engineer

Gleason, TN

Data mining, scorecarding, and communication of performance by supplier * Management of Supplier OSARs (containment, root cause, corrective action, verification) * Management of Material Review Board ...

gleason

Supplier Quality Engineer

Gleason, TN

Data mining, scorecarding, and communication of performance by supplier * Management of Supplier OSARs (containment, root cause, corrective action, verification) * Management of Material Review Board ...

Sonsoft Inc

Sr. Data Scientist

Memphis, TN

Research and implement data mining machine learning algorithms in supervised and unsupervised learning areas * Should have experience with time series modeling * Should have experience with ...

Crown Bakeries

Finance Analyst

Brentwood, TN

Function as the key resource for data mining and financial model building, including the maintenance of theoretical simulations and reporting statements. * Profitability Reporting: Analyze, compile ...

Amazon

Supply Chain Mgr III - AMZ9970773

Nashville, TN · On-site

$103K - $148K/yr

... mining and data analysis; (5) using Microsoft Excel including pivot tables, macros, index/match, VLOOKUP, VBA, and data links; and (6) experience with analytical tools including SQL, Tableau ...

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All JobsData Mining JobsData Mining Jobs in Tennessee

Data Mining information

See Tennessee salary details

$46.3K

$63.5K

$80.8K

How much do data mining jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data mining in Tennessee is $63,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $77,100.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

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.

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.

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 Tennessee? The most popular types of Data Mining jobs in Tennessee are:
What are popular job titles related to Data Mining jobs in Tennessee? For Data Mining jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Tennessee look for? The top searched job categories for Data Mining jobs in Tennessee are:
What cities in Tennessee are hiring for Data Mining jobs? Cities in Tennessee with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $63,533 per year, or $30.5 per hour.
Senior Data Scientist

Senior Data Scientist

Lancesoft

Chattanooga, TN • On-site

$70 - $86.25/hr

Temporary

Posted 18 days ago

Job description


Contract Role | Senior Data Scientist in Chattanooga TN
Duration: 2 years contract with possible extension
Pay Range: $70 -86.25/hour on w2
Job Description:
Responsible for modeling complex business problems and discovering business insights through the use of data mining techniques, statistical analysis, designing tools/applications, automation and building high quality prediction systems and incorporating them into business processes. The individual will collaborate with the leadership and SMEs from ER business units, key external-related business partners across , and the IT organization to develop technology tools/applications, support digital plans & strategies, identify, and develop proof of concepts. Ultimately responsible for developing data analytics and visualization products that provide insights across the agency to external risks and opportunities with stakeholders, including LPC's, Industrial Customers, Local, State, and Federal Officials, Community Involvement, and Economic Development current and potential customers
  • Lead efforts for identifying business insights through data structure, data mining, predictive models, and implementing innovative techniques for analysis and gathering business intelligence.
  • In addition to enabling and informing key decision-making, the data and models produced will be used in all manners of financial planning, business cases, economic development lead generation, customer and stakeholder analysis, reporting to regulators, and performing studies to optimize interactions in community involvement, and local and federal policy.
  • Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient, selecting features, building and optimizing classifiers using machine learning techniques.
  • Strong ability to communicate complex data and modeling in a simple, actionable way
  • Ability to visualize data in the most effective way possible for a given project or study
  • Determine requirements that will be used to train and evolve deep learning models and algorithms.
  • Data mining using state-of-the-art methods to identify trends and patterns and generate insights that will optimize operational decisions and inform executive decision making.
  • Extending company's data with third party sources of information when needed.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Doing ad-hoc analysis and presenting results in a clear manner using data visualization tools.
  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Design, test and produce key data reporting to generate insights and drive operational decision making
  • Experiment to identify hidden relationships between variables in large data sets.
  • Leverage both structured and unstructured data sources from across the agency.
  • Use big data analysis tools and techniques.
  • Play a key role in training, coaching, and upskilling current management & specialist team members, and advising management on how to maximize data science capabilities for optimal decision-making.
Education and Experience -
  • Degree in mathematics, statistics, computer science, economics, engineering, operations research, decision science, or a related quantitative field, plus professional experience performing analytics, including statistical analysis, mathematical modeling, and computer programming. Master's degree and/or PhD degree is highly preferred.
  • At least five years of experience with advanced analytics, including predictive analytics, machine learning, deep learning, mathematical optimization, and risk simulation, in either an academic or professional setting. Ten or more years of experience is highly preferred

Meet Your Recruiter
Vishwas BM
LanceSoft logo

About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

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