1

Overnight Meta Data Scientist Jobs in Tennessee (NOW HIRING)

Associate Director, Data Science

Knoxville, TN · On-site

$56.30K - $56.80K/yr

This role is foundational to leading our Data Science Team, which partners with our Analytics ... Job may require traveling overnight, driving long distances as required and sitting for extended ...

Senior Growth Operator (DPA & Catalog)

Franklin, TN · On-site

$119.50K - $156.50K/yr

... with a data scientist mindset System Design & Optimization * Build and iterate campaign ... Deep understanding of Meta ad system mechanics Critical Skill Set (Non-Negotiable) * Experience ...

Senior Business Data Analyst OVERVIEW This role is responsible for the creation, support, and ... Bachelor's degree in Computer Science, Business Intelligence, Finance, Statistics, or a related ...

Partner with eCommerce, Analytics, Data Science, Web, UX/UI, Creative, and Strategy teams to ... Deep expertise across Meta, TikTok, LinkedIn, Google Ads, Microsoft Advertising, and DSP platforms ...

next page

Showing results 1-20

Overnight Meta Data Scientist information

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

To thrive as an Overnight Meta Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with big data tools like Spark or Hadoop, and proficiency in data visualization platforms are often required. Strong problem-solving skills, attention to detail, and the ability to communicate findings clearly are essential soft skills for this role. These abilities are crucial for extracting actionable insights from complex datasets and supporting data-driven decision-making, even during off-hours when support may be limited.

What are some unique challenges faced by Overnight Meta Data Scientists, and how can they be addressed?

Overnight Meta Data Scientists often work during non-standard hours, which can present challenges such as limited real-time collaboration with daytime teams and the need to manage alert fatigue or solo problem-solving. To address these, it's important to establish clear handoff protocols, utilize asynchronous communication tools, and maintain detailed documentation for ongoing projects. Additionally, Overnight Data Scientists often focus on monitoring critical systems or running batch data processes, so developing strong troubleshooting skills and self-reliance is key. Many organizations support these roles with flexible scheduling and remote work options to help maintain work-life balance.

What is an Overnight Meta Data Scientist?

An Overnight Meta Data Scientist is a professional who works primarily during nighttime hours to analyze and interpret large datasets, often utilizing advanced statistical and machine learning techniques. The 'meta' aspect refers to working with metadata—data that provides information about other data—helping organizations optimize data management, enhance searchability, and improve data-driven decision-making. These scientists often monitor automated systems, ensure data pipelines are functioning, and may address urgent issues that arise outside of regular business hours. Their work is critical for organizations that require round-the-clock data processing and analysis, such as global tech companies and online platforms.

What is the difference between Overnight Meta Data Scientist vs Data Analyst?

AspectOvernight Meta Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; knowledge of machine learning and programmingBachelor's in Data Analysis, Statistics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTypically in tech companies or research labs, often with flexible or overnight shiftsUsually in corporate offices, with standard daytime hours
Employer & Industry UsageTech firms, e-commerce, social media platformsFinance, marketing, healthcare, retail

Overnight Meta Data Scientists focus on advanced data modeling, machine learning, and large-scale data analysis, often working overnight shifts in tech environments. Data Analysts primarily handle data collection, cleaning, and reporting during regular hours. While both roles require strong analytical skills, the Meta Data Scientist role emphasizes technical expertise in algorithms and programming, whereas Data Analysts focus on interpreting data for business insights.

What are the most commonly searched types of Meta Data Scientist jobs in Tennessee? The most popular types of Meta Data Scientist jobs in Tennessee are:
What are popular job titles related to Overnight Meta Data Scientist jobs in Tennessee? For Overnight Meta Data Scientist jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Overnight Meta Data Scientist jobs in Tennessee look for? The top searched job categories for Overnight Meta Data Scientist jobs in Tennessee are:
What cities in Tennessee are hiring for Overnight Meta Data Scientist jobs? Cities in Tennessee with the most Overnight Meta Data Scientist job openings:
Associate Director, Data Science

Associate Director, Data Science

Tombras

Knoxville, TN • On-site

$56.30K - $56.80K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Tombras, a 450+ person, full-service, national advertising agency with a digital mindset, is seeking an Associate Director, Data Science.
You'll be joining one of the top independent agencies in North America. Connecting Data & Creativity for Business Results® is working for our clients and creating a flywheel affect fueling both client and agency growth. You'll be a part of a highly creative agency that has been recognized by AdAge, Adweek, Communication Arts, Fast Company, Forbes and Fortune. Tombras was recently named 2025 AdAge Agency of the year and 2024 AdAge Independent Agency of the Year.
Why Join Tombras Analytics?
Tombras Analytics sits at the cornerstone of Connecting Data + Creativity for Business Results and delivers Diagnostic, Descriptive, Predictive and Prescriptive Analytics across both internal teams and a diverse global, national and regional client base. We are a passionate team of 20+ professionals dedicated to pushing the boundaries of analytics to help our clients discover opportunities, capitalize on trends, create efficiencies and improve marketing and business results for maximum growth.
This role is foundational to leading our Data Science Team, which partners with our Analytics, Media, and Data-Ops Teams to realize the vision of offering best in class marketing science for our clients. You'll lead the strategy and development of proprietary tooling, work on brands with household recognition, and grow the team as the agency scales.
The Associate Director, Data Science will report directly to the Director, Data Science and should have prior experience in media analytics, especially digital media. The ideal candidate will have 2+ years of experience in media, marketing or a related field and possess 5+ years of experience in Analytics and Data Science roles.
Where you'll be working: Knoxville. Relocation assistance may be provided.
What you'll be doing:
  • Leading the strategy behind and client engagements for advanced analytics including Media Mix Modeling, Message Mix Modeling, Multi-Touch Attribution, Forecasting, and support testing, experimentation, and optimization. Your remit will be end-to-end, from selling in new work thru delivery of the results.
  • Developing the framework and approach for marketing science and develop bespoke offerings.
  • Employing best in class tooling to develop proprietary Martech in partnership with the Technology and Media practices.
  • Identify new and innovative data sets that can be used to improve existing modeling work, or deliver net new models.
  • Clearly articulate statistical results to clients, ultimately leading to continued client engagement and implementation.

What you bring:
  • An M.S. or Ph.D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or Operations Research
  • (Optional) Experience in marketing science or advertising analytics
  • Mastery of advanced analytical techniques including but not limited to Multivariate/Bayesian Regression, Randomized Control Trials, Media Mix/Multi-Touch Attribution, Time-Series, Forecasting, Predictive Modeling, Discrete Choice Models
  • Strong competency with python, R, SQL, and other commonly used statistical tools
  • Client services mindset
  • Ability to influence clients and partner agencies to act on insights
  • Ability to distill complicated information into succinct graphical presentations for senior stakeholders.

Why you'll want to work at Tombras:
  • Family - It comes first, on every list. Tombras has been family-run since day 1, we strive to facilitate a family-oriented environment rooted in supporting one another.
  • Dog-friendly offices
  • Flexible PTO
  • Generous parental leave for primary and non-primary caregivers
  • Medical (PPO or High Deductible option) for employee + dependents
  • 401(k) Participation
  • Employer-paid Dental & Vision
  • A company culture of promotions from within and an atmosphere allowing for varied and rapid career development.

Want more reasons to work at Tombras? Check out the latest Tombras News and Our Values.
Tombras is proud to be an equal opportunity employer dedicated to pursuing and hiring a diverse workforce.
Tombras is an E-Verify employer and participates in the E-Verify program.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice. Job may require traveling overnight, driving long distances as required and sitting for extended periods of time with occasional walking and standing and occasionally lifting or carrying articles weighing less than 10 pounds.
Remote employees must be based in the United States.