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Director Data Science Jobs in Cleveland, TN (NOW HIRING)

Varsity Tutors

ACT Science Tutor

Chattanooga, TN · Remote

$18 - $40/hr

Emphasizes minimal passage reading, direct data analysis, and recognizing question patterns for maximum efficiency. * Test Strategy & Adaptive Instruction: Familiar with ACT Science time pressure ...

KA Recruiting Inc.

Laboratory Director

Chattanooga, TN · On-site

$95K - $140K/yr

... data analysis and operational feedback • Maintain policies, procedures, and operational best ... Technology, Biomedical Science, Biology, or Chemistry • National Medical Technologist ...

KA Recruiting Inc.

Laboratory Director

Ooltewah, TN · On-site

$95K - $140K/yr

... data analysis and operational feedback • Maintain policies, procedures, and operational best ... Technology, Biomedical Science, Biology, or Chemistry • National Medical Technologist ...

KA Recruiting Inc.

Laboratory Director

Ooltewah, TN · On-site

$95K - $140K/yr

... data analysis and operational feedback • Maintain policies, procedures, and operational best ... Technology, Biomedical Science, Biology, or Chemistry • National Medical Technologist ...

KA Recruiting Inc.

Laboratory Director

Chattanooga, TN · On-site

$95K - $140K/yr

... data analysis and operational feedback • Maintain policies, procedures, and operational best ... Technology, Biomedical Science, Biology, or Chemistry • National Medical Technologist ...

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All JobsData Science JobsDirector Data Science JobsDirector Data Science Jobs in Cleveland, TN

Director Data Science information

See Cleveland, TN salary details

$45.2K

$129.6K

$204.1K

How much do director data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for director data science in Cleveland, TN is $129,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What is a director data science?

A Director of Data Science leads a team of data scientists and analysts to drive data-driven decision-making within an organization. They develop strategic initiatives, oversee machine learning and analytics projects, and collaborate with executives to align data efforts with business goals. The role requires expertise in data science, leadership, and communication to translate complex insights into actionable strategies.

What types of teams and professionals will I collaborate with as a director data science?

As a Director Data Science, you will regularly collaborate with cross-functional teams including business analysts, data engineers, software developers, product managers, and senior executives. Your role often involves translating business goals into data-driven strategies, as well as mentoring and guiding data scientists and analysts on your team. You may also work closely with stakeholders from marketing, operations, and finance to align analytics initiatives with organizational objectives. This collaborative environment fosters innovative solutions and ensures data science efforts have a meaningful impact on overall business performance.

What are the key skills and qualifications needed to thrive in the director data science position, and why are they important?

To thrive as a Director Data Science, you need a deep understanding of advanced statistical modeling, machine learning, and data strategy, typically backed by an advanced degree in a quantitative field and significant leadership experience. Proficiency with tools such as Python, R, SQL, cloud data platforms, and familiarity with data governance frameworks and certifications like Certified Analytics Professional (CAP) are common requirements. Outstanding communication, stakeholder management, and team leadership abilities make candidates stand out in this position. These skills ensure the successful translation of complex data insights into actionable business strategies and the effective leadership of high-performing data science teams.

What are the most commonly searched types of Data Science jobs in Cleveland, TN?

The most popular types of Data Science jobs in Cleveland, TN are:

What are popular job titles related to Director Data Science jobs in Cleveland, TN?

For Director Data Science jobs in Cleveland, TN, the most frequently searched job titles are:

What cities near Cleveland, TN are hiring for Director Data Science jobs?

Cities near Cleveland, TN with the most Director Data Science job openings:

Director Data Science jobs near you
Infographic showing various Director Data Science job openings in Cleveland, TN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $129,578 per year, or $62.3 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Chattanooga, TN • On-site

$125K/yr

Full-time

Posted 7 days ago

Key responsibilities

  • Identify and assess the validity and reliability of relevant data sources and retrieve structured and unstructured data for data science projects.

  • Clean, transform, combine, and integrate data from multiple sources to prepare it for analysis.

  • Apply data-mining process models and statistical methods to analyze data, evaluate results, and support program or business decisions.

Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

159th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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