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Quantitative Data Engineer Jobs in Tennessee (NOW HIRING)

Vanderbilt University

Data Scientist

Nashville, TN · On-site

Master's or PhD degree in data science, Computer Science, Statistics, Mathematics, Neuroscience, Psychology, Engineering, or a related quantitative field. Experience and Skills: * 4 or more years of ...

Pilot Company

Engineer II, Analytics

Knoxville, TN · On-site

Integrate data from disparate sources (internal and external) into data products that are consumed ... Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline ...

Pilot Company

Engineer II, Analytics

Knoxville, TN

Integrate data from disparate sources (internal and external) into data products that are consumed ... Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline ...

Pilot Company

Engineer II, Analytics

Knoxville, TN · On-site

Integrate data from disparate sources (internal and external) into data products that are consumed ... Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline ...

Pilot Flying J

Engineer II, Analytics

Knoxville, TN

Integrate data from disparate sources (internal and external) into data products that are consumed ... Bachelor's degree in mathematics, computer science, engineering, or other quantitative discipline ...

micro1 AI

Domain Expert - (STEM PhD)

Memphis, TN · Remote

$80 - $90/hr

... engineering principles * Analyze data and interpret results to inform AI training datasets with precision * Apply sophisticated calculus and quantitative methodologies to problem-solving tasks

micro1 AI

Domain Expert - (STEM PhD)

Nashville, TN · Remote

$80 - $90/hr

... engineering principles * Analyze data and interpret results to inform AI training datasets with precision * Apply sophisticated calculus and quantitative methodologies to problem-solving tasks

RevSpring Inc

Product Manager- Epion

Nashville, TN

... engineering, design, data, sales, and customer success teams. * Strong analytical thinking and problem-solving skills, including the ability to leverage qualitative and quantitative data to support ...

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Quantitative Data Engineer information

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

To excel as a Quantitative Data Engineer, you need strong proficiency in programming (such as Python, R, or C++), advanced mathematical and statistical knowledge, and a relevant degree in computer science, mathematics, or a related field. Experience with big data tools (like Spark, Hadoop), cloud platforms, and data pipeline systems, as well as familiarity with financial data sets, is typically required. Analytical thinking, detail orientation, and effective problem-solving skills distinguish top performers in this role. These competencies are critical for efficiently transforming complex data into actionable insights and supporting robust quantitative models in data-driven environments.

What is a Quantitative Data Engineer?

A Quantitative Data Engineer is a professional who designs, builds, and maintains data infrastructure that supports quantitative analysis, typically in finance or technology sectors. They work closely with quantitative analysts and data scientists to ensure efficient data pipelines, data quality, and high-performance systems for processing large datasets. Their responsibilities include developing ETL processes, optimizing databases, and implementing data models to support research and trading strategies. Strong programming skills, expertise in big data technologies, and knowledge of quantitative methods are essential for this role.

What is the difference between Quantitative Data Engineer vs Data Scientist?

AspectQuantitative Data EngineerData Scientist
Primary FocusBuilding data pipelines, data infrastructure, and ensuring data qualityAnalyzing data, creating models, and deriving insights
Skills & ToolsSQL, Python, Spark, ETL processes, data architectureStatistics, machine learning, Python/R, data visualization
CredentialsComputer science, engineering, or related degrees; certifications in data engineeringStatistics, data science, or related degrees; certifications in data analysis or machine learning
Work EnvironmentData engineering teams, data infrastructure projectsData analysis teams, research, and modeling projects

While both roles work closely with data, Quantitative Data Engineers focus on building and maintaining data systems, whereas Data Scientists analyze data to generate insights and models. They often collaborate but have distinct skill sets and responsibilities within data-driven organizations.

How does a Quantitative Data Engineer typically collaborate with data scientists and quantitative analysts on projects?

Quantitative Data Engineers work closely with data scientists and quantitative analysts to design, build, and optimize data pipelines that support complex modeling and analytics. They are often responsible for ensuring data quality, scalability, and efficient data processing, enabling analysts to focus on developing models and extracting insights. Regular collaboration includes translating analytical requirements into technical solutions, troubleshooting data issues, and iterating on data infrastructure to support evolving project needs. This teamwork fosters an environment where technical and analytical expertise complement each other, leading to more robust and actionable results.
What are popular job titles related to Quantitative Data Engineer jobs in Tennessee? For Quantitative Data Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Quantitative Data Engineer jobs in Tennessee look for? The top searched job categories for Quantitative Data Engineer jobs in Tennessee are:
What cities in Tennessee are hiring for Quantitative Data Engineer jobs? Cities in Tennessee with the most Quantitative Data Engineer job openings:
Quantitative Data Engineer jobs near you
Sr. Data Scientist - Aftersales Support

Sr. Data Scientist - Aftersales Support

Nissan Motor Co., Ltd.

Franklin, TN • On-site

Full-time

Medical, Retirement

Re-posted 6 days ago

Nissan Motor rating

6.5

Company rating: 6.5 out of 10

Based on 205 frontline employees who took The Breakroom Quiz

38th of 44 rated automakers

Job description

Location: Franklin, TN
Job Schedule: Full-time (Hybrid 4 days on-site)
Education Requirement: Bachelor's degree
Sponsorship: No
Come Drive Innovation with Us. We are currently looking for an Sr. Data Scientist - Aftersales Support to join our team in Franklin, TN.
The Aftersales Data Scientist provides complex data and predictive analytics solutions to identify and address opportunities for business expansion and optimization of marketing and incentive decisions. They will be responsible for extracting relevant data, modeling business processes, discovering business insights, and identifying opportunities through the use of in-depth statistical, algorithmic, data mining and advanced visualization techniques.
A Day in the Life:
The responsibilities listed are not intended to be an exhaustive list of all duties for this role. Additional tasks may be assigned, as needed, to support business objectives.
  • Utilizes expertise in statistical and machine learning methods using tools such as Python and proficiency in big data cloud infrastructures to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis and model build.
  • Develops complex data and predictive/prescriptive/AI analytics models and solutions.
  • Assist in development, maintenance and management of advanced reporting, analytics, dashboards and other BI solutions primarily using SQL, Python, Informatica Prep, Snowflake, AWS and Power BI.
  • Identifies what data is available and relevant, including internal and external data sources, while leveraging new data collection and analysis processes.
  • Collaborates with internal and external SME's to select relevant sources of information, and engages with the Sales & Marketing Analytics team, M&S functions and IS to elicit, document, analyze and validate analytics solution objectives and requirements.
  • Develops experimental design approaches to validate findings or test hypotheses.
  • Provides on-going tracking and monitoring of performance of decision systems and statistical models.
  • Researches through analysis of data from various internal and external sources to identify opportunities for new services/products that contribute to FMI (Fixed Marketing Investments), VME (Variable Marketing Expenditures), Inventory Mix and Sales Performance. Implements IT solutions for projects, ongoing solutions, and business expansion by providing proof of concept business cases to internal clients.
  • Serves as a strategic advisor and cross-functional leader by providing expert guidance to Nissan teams and leadership; clearly communicating project status and opportunities; educating the organization on advanced methods; ensuring regulatory-compliant data practices; enhancing systems through analysis and policy recommendations; safeguarding confidential information; applying structured problem-solving; engaging stakeholders at all levels to surface needs and value opportunities; and acting as a liaison to external experts to strengthen organizational capability.

Who We're Looking for:
Required:
  • Bachelor's degree in applied mathematics, statistics, computer science or related field.
  • At least 6 years of relevant experience in Python, data modeling, big data, quantitative and qualitative research, and analytics.
  • Advanced analytical skills. Quantitative Analytics. Proficient in Machine Learning and programming languages. Automotive Aftersales Service Retention and Service Retention drivers or related knowledge preferred. Understanding of US Market and dealer Service operations preferred. Advanced ETL capabilities using SQL, Python, Snowflake, and AWS to data mine Aftersales business insights and create data pipelines to support business use-case execution Knowledge of NNA Systems.
  • Excellent written and oral communication skills.
  • Ability to find solutions to loosely defined business problems by leveraging large unstructured datasets.
  • Must possess ability to synthesize data, uncover inherent trends in the data, make recommendations about associated opportunities and implications to business performance, & communicate findings & recommendations to a variety of audiences.
  • High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

Desired:
  • Master's degree preferred.
  • Prior automotive experience a plus.
  • Experience working with Dynamic Pricing Models is a plus.
  • Ability to perform work onsite at Nissan North America Headquarters Franklin, TN.

What You'll Look Forward to at Nissan:
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.
It is Nissan's policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees - with shared characteristics or interests - build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Franklin Tennessee United States of America

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