ZipRecruiter

Log In

1

Temporary Machine Learning Quant Jobs in Tennessee

GOAT Group

Senior Machine Learning Engineer

Nashville, TN · On-site

$100K - $138K/yr

Role Overview Grailed is looking for a Senior Machine Learning Engineer to drive personalization ... data or quantitative role, demonstrated success in a startup, high-growth or faced paced ...

Deloitte

Generative AI Engineer III

Nashville, TN · On-site

$55.50 - $74.50/hr

... quantitative field • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions • 3+ years of ...

Staffing Agency Recruitment

Data Scientist

Franklin, TN · Remote

$125K - $150K/yr

... machine learning algorithms, and advanced analytical solutions using large, complex datasets * Strong competency in statistical & quantitative methods (e.g., hypothesis testing, regression ...

Deloitte

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

... quantitative field. * 7+ years of professional experience. * 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions ...

Monogram Health

Senior Data Scientist

Brentwood, TN

Minimum of five (5) years of experience performing quantitative analyses, preferably within the healthcare claims domain, including experience using Python for machine learning model development and ...

Deloitte

Generative AI Engineer III

Nashville, TN · On-site

$55.50 - $74.50/hr

... quantitative field * 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions * 3+ years of ...

Lancesoft

Senior Data Scientist

Chattanooga, TN · On-site

$60 - $86/hr

Research and implement cutting-edge techniques and tools in machine learning/deep learning ... related quantitative field, plus professional experience performing analytics, including ...

next page

Showing results 1-20

All JobsTemporary Machine Learning Quant JobsTemporary Machine Learning Quant Jobs in Tennessee

Temporary Machine Learning Quant information

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts and machine learning quants for roles in risk management, trading, and investment strategies. These positions typically require strong programming skills, knowledge of financial models, and advanced degrees in quantitative fields. The firm values expertise in tools like Python, R, and machine learning frameworks.

What is the difference between Temporary Machine Learning Quant vs Quantitative Analyst?

AspectTemporary Machine Learning QuantQuantitative Analyst
CredentialsDegree in Computer Science, Data Science, or related fields; programming skills in Python, R, or C++Degree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentTech-driven, research-focused, often in financial firms or hedge fundsFinancial institutions, investment banks, asset management firms
Industry UsageCommon in quantitative trading, algorithm development, and data-driven finance rolesUsed for risk management, trading strategies, and financial modeling

The Temporary Machine Learning Quant and Quantitative Analyst roles share overlapping skills in data analysis and finance but differ mainly in focus. The Machine Learning Quant emphasizes programming, algorithm development, and machine learning techniques, often in tech-heavy environments. In contrast, the Quantitative Analyst leans more toward financial modeling, market analysis, and risk assessment. Both roles are vital in finance but cater to different technical and strategic needs.

What are the key skills and qualifications needed to thrive as a Temporary Machine Learning Quant, and why are they important?

To excel as a Temporary Machine Learning Quant, you need strong quantitative analysis skills, proficiency in machine learning algorithms, and an advanced degree in a quantitative field such as mathematics, statistics, computer science, or engineering. Hands-on experience with programming languages like Python or R, familiarity with data analysis libraries (e.g., NumPy, pandas), and exposure to financial systems or platforms are typically required. Exceptional problem-solving abilities, adaptability, and effective communication help you stand out in this fast-paced environment. These competencies are crucial for developing and deploying data-driven models that inform trading strategies and deliver measurable business impact.

What are the typical responsibilities and challenges faced by a Temporary Machine Learning Quant in a financial firm?

As a Temporary Machine Learning Quant, you will often be tasked with quickly analyzing large financial datasets to develop and validate predictive models for trading strategies or risk assessment. Adapting to new team environments and rapidly understanding proprietary data systems can be challenging, especially given the short-term nature of the role. You'll collaborate closely with traders, data engineers, and other quants to implement solutions, and are usually expected to deliver actionable insights within tight deadlines. The fast-paced setting provides exposure to cutting-edge technologies and can be a stepping stone to more permanent quant or data science positions.

What does a Temporary Machine Learning Quant do?

A Temporary Machine Learning Quant is a professional who applies machine learning techniques to financial data and quantitative models, typically on a short-term or project-based contract. Their work may involve researching, developing, and implementing algorithms to analyze market trends, forecast prices, or optimize trading strategies. These roles are often found in investment banks, hedge funds, or fintech companies, and require strong programming, statistical, and financial skills. The 'temporary' aspect indicates the position is not permanent and usually fills a specific project or resource gap.

Is 40 too old to become a quant?

Age is generally not a barrier to becoming a quantitative analyst or machine learning quant, as skills in programming, mathematics, and finance are more important. Many professionals transition into quant roles later in their careers by acquiring relevant certifications, such as CFA or advanced degrees, and developing expertise in data analysis and modeling tools.

Are quant jobs replaceable by AI?

Quant jobs, including those for machine learning quants, involve complex analysis, model development, and decision-making that currently require human expertise. While AI tools can automate certain tasks like data processing and model testing, the need for critical thinking, domain knowledge, and oversight keeps these roles relevant. Continuous learning and proficiency with programming languages like Python or R are essential in this field.

Which 5 jobs will survive AI?

For a Temporary Machine Learning Quant, roles that require complex judgment, creativity, and domain expertise are more likely to survive AI automation, such as strategic analysis, client communication, and regulatory compliance. Jobs involving advanced problem-solving, programming, and understanding of financial markets will also remain in demand, especially when combined with skills in data analysis and machine learning tools. Continuous learning and adapting to new technologies are essential for long-term job security in this field.
What are the most commonly searched types of Machine Learning Quant jobs in Tennessee? The most popular types of Machine Learning Quant jobs in Tennessee are:
What are popular job titles related to Temporary Machine Learning Quant jobs in Tennessee? For Temporary Machine Learning Quant jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Quant jobs in Tennessee look for? The top searched job categories for Temporary Machine Learning Quant jobs in Tennessee are:
What cities in Tennessee are hiring for Temporary Machine Learning Quant jobs? Cities in Tennessee with the most Temporary Machine Learning Quant job openings:
Temporary Machine Learning Quant jobs near you
Sr. Director, Machine Learning Strategy

Sr. Director, Machine Learning Strategy

Dollar General

Goodlettsville, TN

Full-time

Posted 22 days ago

Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,474 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers

Job description


Company Overview

General Summary:

This role exists to build, scale, and operationalize Dollar General’s enterprise machine learning capabilities that directly drive measurable business outcomes. The Senior Director owns the ML strategy, platforms, and teams required to move from isolated models to production-grade, governed, reusable ML systems. This leader ensures ML investments are aligned to enterprise priorities, value realization, and responsible AI standards.


Job Details

Duties and Responsibilities:

  • Lead enterprise machine learning strategy spanning applied ML, MLOps, experimentation, and platform capabilities aligned to business priorities.
  • Build, mentor, and scale high-performing ML engineering and data science leaders across centralized and embedded delivery models
  • Own end-to-end lifecycle of ML systems from problem framing and modeling through deployment, monitoring, and continuous optimization
  • Partner with product, IT, security, legal, and business leaders to ensure governed, responsible, and scalable ML adoption.
  • Establish standards for model evaluation, experimentation, monitoring, and value measurement tied to financial and operational impact

Qualifications

Knowledge, Skills and Abilities:

  • Deep expertise in machine learning systems, model development, and production ML architectures
  • Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML
  • Proven ability to translate business problems into scalable ML solutions with measurable impact
  • Experience leading senior technical managers and principal-level engineers
  • Strong judgment around responsible AI, model risk, data privacy, and governance
  • Ability to influence executive stakeholders and align cross-functional teams
  • Experience operating ML platforms in cloud-native environments
  • Excellent communication skills bridging technical and non-technical audiences

Work Experience and/or Education:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred
  • 10+ years of experience in machine learning, data science, or applied AI roles
  • 5+ years leading ML engineering or data science teams at scale
  • Demonstrated experience deploying and operating production ML systems

Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred

Qualifications:

Knowledge, Skills and Abilities:

  • Deep expertise in machine learning systems, model development, and production ML architectures
  • Strong understanding of MLOps, model monitoring, experimentation, and CI/CD for ML
  • Proven ability to translate business problems into scalable ML solutions with measurable impact
  • Experience leading senior technical managers and principal-level engineers
  • Strong judgment around responsible AI, model risk, data privacy, and governance
  • Ability to influence executive stakeholders and align cross-functional teams
  • Experience operating ML platforms in cloud-native environments
  • Excellent communication skills bridging technical and non-technical audiences

Work Experience and/or Education:

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field
  • Advanced degree (Master’s / MBA) in a quantitative or AI-related discipline preferred
  • 10+ years of experience in machine learning, data science, or applied AI roles
  • 5+ years leading ML engineering or data science teams at scale
  • Demonstrated experience deploying and operating production ML systems

Experience in retail, e-commerce, supply chain, or large-scale consumer data environments preferred

Education:UNAVAILABLEEmployment Type: FULL_TIME

What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Dollar General logo

About Dollar General

Sourced by ZipRecruiter

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

View All Dollar General Jobs

Apply