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Data Science Jobs in Jackson, TN (NOW HIRING)

FocusKPI

Marketing Operations Analyst

Jackson, TN · On-site

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

InstantServe LLC

Environmental Scientist

Jackson, TN · On-site

$71K - $93K/yr

This role includes conducting scientific assessments, interpreting data, ensuring compliance with environmental regulations, and collaborating with field teams, laboratories, and TDEC departments.

Element Materials Technology

Data Processor

Jackson, TN · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

InstantServe LLC

Environmental Scientist

Jackson, TN · On-site

$71K - $93K/yr

Required: - Bachelor's degree in a related science field and a valid driver's license. - Proficiency in map reading, technical documentation, data entry, and analytical problem-solving. - Ability to ...

Bespoke Labs

Data Engineer

Jackson, TN · On-site

$100K - $120K/yr

About Us We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have ...

Instant Serve LLC

Environmental Scientist

Jackson, TN · On-site

$30 - $40/hr

Required: - Bachelor's degree in a related science field and a valid driver's license. - Proficiency in map reading, technical documentation, data entry, and analytical problem-solving. - Ability to ...

nLeague

Environmental Scientist

Jackson, TN · On-site

$71K - $93K/yr

Preferred bachelor's degrees include environmental science, biology, chemistry, wildlife biology ... data into digital systems. · Participate in occasional investigations related to illegal ...

STI

Environmental Scientist 1 - Jackson, TN

Jackson, TN · On-site

$71K - $93K/yr

Preferred bachelor's degrees include environmental science, biology, chemistry, wildlife biology ... data into digital systems. • Participate in occasional investigations related to illegal ...

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Data Science information

See Jackson, TN salary details

$35.6K

$116.5K

$186.5K

How much do data science jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science in Jackson, TN is $116,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
What are popular job titles related to Data Science jobs in Jackson, TN? For Data Science jobs in Jackson, TN, the most frequently searched job titles are:
What cities near Jackson, TN are hiring for Data Science jobs? Cities near Jackson, TN with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Jackson, TN as of July 2026, with employment types broken down into 4% As Needed, 77% Full Time, 4% Part Time, and 15% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $116,468 per year, or $56 per hour.

Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company

Milan, TN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 73 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work in multi-disciplinary teams to harness the power of data and deliver real-world impact for organizations globally. Your work will directly influence the recommendations our clients need to drive meaningful change and enhance their performance.
You will tackle complex and diverse data challenges, working with some of the world's largest organizations. You will develop high-quality data science solutions and products, focusing on advanced modeling and analytics.
While collaborating with client teams and internal experts, you will present findings, provide actionable recommendations, and consult with stakeholders to ensure the successful implementation of data-driven strategies.
You will gain exposure to a variety of industries and sectors, building large-scale data and analytics solutions to address complex business problems. Along the way, you will learn and apply best practices in data science, including responsible AI usage, secure and sustainable development, and scalable solutions.
Working in a collaborative and multicultural environment, you will partner with data scientists, ML engineers, project managers, and business experts to deliver impactful solutions. You will also stay up to date with the latest advancements in data science tools and technologies, while participating in world-class learning programs to continuously enhance your skills.
You will solve real-world problems by analyzing and modeling complex datasets, transforming raw data into actionable insights. By developing and delivering data science solutions, you will ensure they are scalable, secure, and aligned with industry best practices. Collaborating closely with client teams and internal experts, you will design and implement data-driven strategies that address critical business challenges. Your ability to present findings and actionable recommendations to stakeholders will ensure clarity, impact, and alignment with their goals.
Staying informed about the latest trends in data science, you will contribute to the development of proprietary tools and methodologies, driving innovation and excellence. Working across various industries, you will gain valuable insights into diverse business challenges and uncover new applications for data science, broadening your expertise and delivering meaningful results.
We use a diverse range of tools and technologies, selecting the best fit for each task while considering client preferences. Commonly used tools include:
  • Programming and Machine Learning: Python (primary), SQL, R, TensorFlow, PyTorch and Spark
  • Data Engineering and Deployment: Docker, Kubernetes
  • Cloud Platforms: AWS, GCP, Azure
  • Proprietary Tools: Kedro, CausalNex, MLRun

YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's, Master's, or PhD in computer science, machine learning, applied statistics, mathematics, engineering, or a related field
  • Up to 2 years of experience in programming or data science
  • Statistical Knowledge: Strong foundation in statistics and data analysis is required. Familiarity with GenAI core concepts is a nice-to-have (e.g., LLMs, RAG architecture, embeddings, and prompt engineering techniques)
  • Proficiency in Python is a must. Experience with R, SQL, or Spark is highly valued. Familiarity with other tools such as, TensorFlow, PyTorch, or Hadoop is a plus. Familiarity with LLM tech-stack (e.g., Langchain, llamaindex) is also a plus
  • Proven ability to work effectively in team environments and with stakeholders at all levels
  • Familiarity with AWS, GCP, or Azure is a nice-to-have
  • Strong verbal and written communication skills in Italian. Fluent level language skills in English are required; knowledge of additional languages (e.g., Portuguese, German, French, Spanish) are a plus

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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