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Temporary Machine Learning Quant Jobs in Missouri

... quantitative field. * 10+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines, with a proven track record of leading large-scale, high-impact initiatives.

... quantitative field. * 10+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines, with a proven track record of leading large-scale, high-impact initiatives.

... machine learning, or a closely related field * Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience

Senior Data Scientist

Saint Louis, MO · On-site +1

$145K - $170K/yr

... mathematical models, machine learning algorithms & optimization methods to deliver business ... related quantitative field & 1 yr experience building deterministic optimization algorithms ...

Senior Data Scientist

Saint Louis, MO · On-site

$145K - $170K/yr

... mathematical models, machine learning algorithms & optimization methods to deliver business ... related quantitative field & 1 yr experience building deterministic optimization algorithms ...

Senior Data Scientist

Saint Louis, MO · On-site +1

$145K - $170K/yr

... mathematical models, machine learning algorithms & optimization methods to deliver business ... related quantitative field & 1 yr experience building deterministic optimization algorithms ...

Champion production-grade machine learning practices, promoting scalable code and robust deployment ... quantitative field * 5+ years (or 2+ years with a Master's degree) of progressively complex data ...

A rare blend of advanced statistical expertise, full-stack machine learning engineering, and ... PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ ...

A rare blend of advanced statistical expertise, full-stack machine learning engineering, and ... PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ ...

A rare blend of advanced statistical expertise, full-stack machine learning engineering, and ... PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ ...

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site +1

$89K - $121K/yr

... quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ...

Imagery Scientist (EO) - Senior

Saint Louis, MO · On-site

$89K - $121K/yr

... quantitative analysis to make recommendations that improve data curation and development in support of Machine Learning algorithm testing and evaluation. The ideal candidate is an expert imagery ...

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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 Missouri? The most popular types of Machine Learning Quant jobs in Missouri are:
What are popular job titles related to Temporary Machine Learning Quant jobs in Missouri? For Temporary Machine Learning Quant jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Quant jobs in Missouri look for? The top searched job categories for Temporary Machine Learning Quant jobs in Missouri are:
What cities in Missouri are hiring for Temporary Machine Learning Quant jobs? Cities in Missouri with the most Temporary Machine Learning Quant job openings:
Principal, Data Scientist

Principal, Data Scientist

Walmart

Anderson, MO

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,743 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...About the Role
We are looking for a Principal Data Scientist to lead high-impact initiatives within Walmart’s Decision Science organization. This role is centered on building scalable, end-to-end Data Science and AI solutions that improve customer experience, optimize operational and sourcing decisions, and drive measurable business impact across the enterprise.
As a senior technical leader, you will partner closely with business, product, engineering, and operations teams throughout the entire lifecycle of a solution — from problem formulation and opportunity identification to model development, experimentation, deployment, and impact measurement. You will help define success metrics, design rigorous experiments, develop scalable AI/ML systems, and influence strategic decision-making through data-driven insights and innovation.
Our team is deeply customer-focused and works on some of the most critical challenges in retail and supply chain, building intelligent systems that improve item availability, enable smarter sourcing and inventory decisions, optimize operational efficiency, and ultimately enhance the end-to-end customer experience. We are investing heavily in GenAI-powered capabilities that improve business insights, accelerate decision-making, and enhance stakeholder productivity through intelligent analytics, conversational experiences, and AI-assisted workflows.
You will play a key role in shaping the long-term data science and AI vision of Walmart, driving innovation across both traditional ML and GenAI applications, and raising the technical bar across the organization.What you'll do...What You'll Do
Strategic Leadership
  • Define and drive the Data science roadmap aligned with Decision Science priorities.
  • Partner closely with business, product, engineering, and operations teams to identify high-impact opportunities and translate them into scalable ML and AI solutions.
  • Influence executive stakeholders through data-driven insights, strategic recommendations, and thought leadership.
  • Translate ambiguous business challenges into structured analytical frameworks, measurable success metrics, and actionable roadmaps.
  • Drive end-to-end ownership from problem formulation through experimentation, deployment, and post-launch impact measurement.
Technical Excellence
  • Design, develop, and deploy end-to-end ML and data science products, including problem framing, feature engineering, model development, experimentation, deployment, and measurement on business metrics.
  • Develop and deploy production-grade GenAI solutions using modern LLMs and agent orchestration frameworks, including prompt engineering, tool integration, skills and retrieval-based workflows, to improve business insights, automate operational workflows, and enhance decision-making.
  • Define and track meaningful success metrics aligned with customer experience and operational goals.
  • Develop scalable pipelines and production-ready solutions in partnership with engineering teams.
  • Ensure model quality, explainability, monitoring, and operational excellence.
Qualifications
  • Master’s degree or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, Data Science, or a related quantitative field.
  • 10+ years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines, with a proven track record of leading large-scale, high-impact initiatives.
  • Strong expertise in statistical modeling, machine learning, experimentation, causal inference, and data science methodologies.
  • Experience building and deploying scalable machine learning solutions and AI-powered applications in production environments.
  • Hands-on experience developing GenAI solutions using Large Language Models (LLMs), prompt engineering, retrieval-augmented generation (RAG), Skills, vector databases, and agentic workflows.
  • Experience with cloud AI/ML platforms and modern AI tooling ecosystems, preferably on GCP or Azure.
  • Experience with distributed data processing frameworks such as Spark and large-scale data platforms.
  • Experience with MLOps and LLMOps practices, including feature stores, model monitoring, evaluation frameworks, and production ML systems.
  • Experience working in large-scale enterprise environments, preferably in retail, eCommerce, marketplace, supply chain, consumer technology, fintech, or other data-intensive industries.
  • Strong communication, storytelling, and stakeholder management skills, including the ability to influence executive-level decision-making.
  • Demonstrated ability to translate ambiguous business problems into scalable data science and AI solutions that drive measurable business outcomes.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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