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Data Science Assistant Jobs in Tennessee (NOW HIRING)

Deloitte

Agentic AI, AI & Data Manager

Nashville, TN · On-site

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field ... Amazon Q Business & Q Developer (enterprise AI assistant and code generation capabilities); Cognito ...

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Tennessee? The most popular types of Data Science jobs in Tennessee are:
What are popular job titles related to Data Science Assistant jobs in Tennessee? For Data Science Assistant jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Tennessee look for? The top searched job categories for Data Science Assistant jobs in Tennessee are:
What cities in Tennessee are hiring for Data Science Assistant jobs? Cities in Tennessee with the most Data Science Assistant job openings:
Data Science Assistant jobs near you
Infographic showing various Data Science Assistant job openings in Tennessee as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, 2% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Media Network Measurement & Reporting Analyst

Media Network Measurement & Reporting Analyst

Dollar General

Goodlettsville, TN • On-site

$65K - $70K/yr

Full-time

Posted 3 days ago

Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,517 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

Job description

Work Where You Matter
At Dollar General, our mission is Serving Others! We value each and every one of our employees. Whether you are looking to launch a new career in one of our many convenient Store locations, Distribution Centers, Store Support Center or with our Private Fleet Team, we are proud to provide a wide range of career opportunities. We are not just a retail company; we are a company that values the unique strengths and perspectives that each individual brings. Your difference truly makes a difference at Dollar General. How would you like to Serve? Join the Dollar General Journey and see how your career can thrive.
Company Overview
The Measurement & Reporting Analyst supports the development, validation, and execution of measurement and reporting solutions for the DG Media Network Learn More DG Media Network.
This role partners cross-functionally with Data Science, Engineering, Product, and external teams to translate business needs into scalable measurement and reporting capabilities. The Analyst will assist in developing, testing, and launching measurement and reporting capabilities, while providing support to DG Media Network's internal teams to drive adoption and scale usage. The position requires experience in business analysis, requirement gathering, and working with technology teams to translate business needs into product priorities and technical requirements.
Job Details
  • Partner with Data Science, Engineering, IT, DGMN teams, and third-party partners to support the development and enhancement of media measurement and reporting capabilities. (25%)
  • Contribute to the testing, validation, and quality assurance of reporting outputs, dashboards, and data pipelines to ensure accuracy and consistency. (25%)
  • Translate business needs into clear requirements for data science and data engineering teams. (25%)
  • Support the rollout adoption of measurement and reporting solutions across Operations, Insights, and Sales teams with documentation, resources, and training materials. (10%)
  • Gather and synthesize feedback from stakeholders to identify opportunities to improve reporting tools and processes. (10%)
  • Assist with ad hoc reporting requests to support product development and CPG client needs. (5%)

Qualifications
Basic qualifications:
  • Foundational understanding of statistical concepts to ensure the accuracy and reliability of performance data and to provide actionable insights.
  • Understanding of sales attribution across various touchpoints in the customer journey, including view-through conversions, to measure an ad's true impact.
  • Experience with SQL and statistical programming languages such as Python or R.
  • Proficiency in Microsoft Excel and familiarity with data visualization tools (e.g., Tableau).
  • Excellent written and verbal communication skills to translate complex analytical and technical findings into clear, concise, and compelling narratives for non-technical audiences.
  • Highly organized and detail-oriented self-starter with the ability to drive progress and contribute to solving business problems.
  • Demonstrates a growth-oriented and collaborative mindset.
  • Bachelor's degree in quantitative field (e.g., Statistics, Data Science, Economics, Computer Science).
  • 2 years of experience in data analysis, media measurement, or reporting.
  • 2 years of marketing, media, digital advertising, or e-commerce experience preferred.
  • Familiarity with collaborating on technology projects or working with IT teams.
  • Strong analytical, organizational, and communication skills.

Preferred qualifications:
  • Familiarity in complex measurement methodologies, including multi-touch attribution (MTA), market mix modeling (MMM), and designing/analyzing incrementality tests (e.g., A/B tests, geo-experiments) to prove media effectiveness.
  • Experience with IT product management.
  • Proven ability to work cross-functionally with technical and non-technical teams.

The salary range for this position is $65,000-$70,000, with final compensation determined by factors including education, experience, skills, and qualifications. This role is also eligible for a company performance bonus.

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About Dollar General

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What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US

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