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At Home Data Scientist Risk Jobs in Missouri (NOW HIRING)

Data Scientist

Saint Louis, MO · On-site

$88K - $123K/yr

Position Summary Digital Transformation is at the center of all that we do. With data-driven ... to call Nestle home. The Nestle Companies are equal employment opportunity employers. All ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... Team members who choose virtual / remote work should have an adequate space to serve as their home ...

Team members who choose virtual / remote work should have an adequate space to serve as their home ... As a Data Scientist focused on revenue management, you will design and deploy advanced deep ...

Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

Experience in fraud risk solutions is desirable * Experience in working with cross-functional ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

Experience in fraud risk solutions is desirable * Experience in working with cross-functional ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

Experience in fraud risk solutions is desirable * Experience in working with cross-functional ... That's what we do at Walmart Global Tech. We're a team of software engineers, data scientists ...

... at our Corporate Headquarters in Clayton, MO. This position is eligible for a hybrid work schedule. Responsibilities As a Data Scientist focused on revenue management, you will design and deploy ...

... at our Corporate Headquarters in Clayton, MO. This position is eligible for a hybrid work schedule. Responsibilities As a Data Scientist focused on revenue management, you will design and deploy ...

Data Scientist

Saint Louis, MO · On-site

$85 - $115/hr

... at our Corporate Headquarters in Clayton, MO. This position is eligible for a hybrid work schedule. Responsibilities As a Data Scientist focused on revenue management, you will design and deploy ...

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... risk indicators. * Define enterprise data standards, metadata management practices, and data ...

Data Scientist

Earth City, MO · On-site

$111K - $131K/yr

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to ... risk indicators. * Define enterprise data standards, metadata management practices, and data ...

Represent Databricks as a data science thought leader at industry venues and in publications to attract top talent. * Methodology and standards. Define and evolve company-wide scientific ...

Experienced Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is ... The selected candidate will be required to perform work onsite at St Louis campus. Position ...

Experienced Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is ... The selected candidate will be required to perform work onsite at St Louis campus. Position ...

Showing results 21-40

At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Missouri?

The most popular types of Data Scientist Risk jobs in Missouri are:

What are popular job titles related to At Home Data Scientist Risk jobs in Missouri?

For At Home Data Scientist Risk jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching At Home Data Scientist Risk jobs in Missouri look for?

The top searched job categories for At Home Data Scientist Risk jobs in Missouri are:

What cities in Missouri are hiring for At Home Data Scientist Risk jobs?

Cities in Missouri with the most At Home Data Scientist Risk job openings:

$130K - $188K/yr

Full-time

Medical, Retirement

Re-posted yesterday


Job description

Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness-We are Proudly Connected. Purely Driven.
Position Summary
Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.
As an Expert Data Scientist at Nestlé Purina, you'll support enterprise-wide AI and machine learning use case creation, deployment, and operationalization across critical business initiatives that drive significant value and transformative outcomes. This role sits at the intersection of technical depth and commercial impact, helping build the connected digital space that powers how we reach consumers across channels. You'll bring a consumer lens to your work, partnering with commercial teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results.
  • Lead the development and deployment of advanced machine learning, optimization, and AI solutions to solve complex business problems across the commercial organization
  • Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications
  • Build and operationalize LLM-based solutions including retrieval augmented generation (RAG) pipelines, AI agents, copilots, and multimodal AI applications
  • Partner with business and commercial leaders to translate strategic priorities into AI solutions and drive adoption across retail and consumer channels
  • Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management
  • Develop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions
  • Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems

Requirements
  • Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field
  • 7+ years of professional experience, with 5+ of those years in data science, advanced analytics, and machine learning
  • 5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and deploying AI solutions in a production environment
  • 3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development
  • 2+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for various data science use cases
  • 2+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design

Other
  • Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred
  • Experience partnering with Marketing, Sales, and Consumer Insights teams to design AI-enabled workflows across areas such as campaign optimization, consumer engagement, pricing and promotion analytics, or digital commerce is preferred
  • Knowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred
  • Understanding of agentic AI, knowledge graphs, and autonomous decision-making systems, along with expertise in GenAI models (e.g., GANs and diffusion models) and building LLM-based solutions such as RAG pipelines, copilots, and multimodal AI applications, is preferred
  • Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management, including responsible AI principles such as fairness, explainability, hallucination detection, and AI risk management, is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $130,000 to $188,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 409969
Driven by integrity and united by the people-and-pet bond, we find strong purpose in the work we do and an even greater joy in those we get to work alongside. Together, we harness the expertise of our long-standing tradition of excellence to embrace possibility and continuously push to do what's never been done before in pet care. Discover your purpose and fuel your passions when you bring your love of pets to a team that prides itself on the power of togetherness-We are Proudly Connected. Purely Driven.
Position Summary
Digital Transformation is at the center of all that we do. With data-driven innovators passionate about making a difference in the lives of pets, we create cutting-edge digital business models that solve complex problems. You'll be at the forefront of digital advancements as they happen in real time, as well as ensure we remain a leader and innovator in the pet care category. Have a hand in making a lasting impact within our long-standing history.
As an Expert Data Scientist at Nestlé Purina, you'll support enterprise-wide AI and machine learning use case creation, deployment, and operationalization across critical business initiatives that drive significant value and transformative outcomes. This role sits at the intersection of technical depth and commercial impact, helping build the connected digital space that powers how we reach consumers across channels. You'll bring a consumer lens to your work, partnering with commercial teams to solve challenges across retail and direct consumer engagement, and translating emerging AI technologies into measurable business results.
  • Lead the development and deployment of advanced machine learning, optimization, and AI solutions to solve complex business problems across the commercial organization
  • Design, train, evaluate, and deploy scalable predictive and Generative AI models for enterprise and consumer-facing applications
  • Build and operationalize LLM-based solutions including retrieval augmented generation (RAG) pipelines, AI agents, copilots, and multimodal AI applications
  • Partner with business and commercial leaders to translate strategic priorities into AI solutions and drive adoption across retail and consumer channels
  • Guide model deployment strategies including AIOps/MLOps, monitoring, model governance, and lifecycle management
  • Develop reusable frameworks, accelerators, and best practices that improve the scalability and maintainability of AI solutions
  • Mentor junior data scientists and provide thought leadership on emerging technologies such as agentic AI, knowledge graphs, and autonomous decision-making systems

Requirements
  • Bachelor's degree in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field
  • 7+ years of professional experience, with 5+ of those years in data science, advanced analytics, and machine learning
  • 5+ years of experience with machine learning algorithms and frameworks (e.g., TensorFlow, scikit-learn) for predictive modeling and deploying AI solutions in a production environment
  • 3+ years of experience in Python/SQL for advanced analytics, data engineering, and model development
  • 2+ years of experience designing, fine-tuning, evaluating, and deploying LLM-based applications for various data science use cases
  • 2+ years of experience with cloud computing platforms (e.g., Azure, AWS, GCP) and production AI system design

Other
  • Master's or PhD in Data Science, Applied Statistics, Mathematics, Computer Science, or a related field (or an MBA) is preferred
  • Experience partnering with Marketing, Sales, and Consumer Insights teams to design AI-enabled workflows across areas such as campaign optimization, consumer engagement, pricing and promotion analytics, or digital commerce is preferred
  • Knowledge of database systems, data warehousing, and distributed computing frameworks (e.g., SQL, NoSQL, Hadoop, Spark, or Ray) is preferred
  • Understanding of agentic AI, knowledge graphs, and autonomous decision-making systems, along with expertise in GenAI models (e.g., GANs and diffusion models) and building LLM-based solutions such as RAG pipelines, copilots, and multimodal AI applications, is preferred
  • Experience operationalizing AI solutions through AIOps/MLOps frameworks, model governance, and enterprise AI lifecycle management, including responsible AI principles such as fairness, explainability, hallucination detection, and AI risk management, is preferred

Don't meet all the qualifications listed under "Other"? These are preferred, but not required. When you apply for a role with Nestlé, we ensure that individual confidentiality is held to the highest regard. We are intentional about creating an inclusive workplace for everyone. We consider our associates our most valuable assets. Please apply for full consideration.
The approximate pay range for this position is $130,000 to $188,000 per year. Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location. Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits. Learn more at https://nestlejobs.com/nestle-in-the-us
It is our business imperative to remain a very inclusive workplace.
To our veterans and separated service members, you're at the forefront of our minds as we recruit top talent to join Nestlé. The skills you've gained while serving our country, such as flexibility, agility, and leadership, are much like the skills that will make you successful in this role. In addition, with our commitment to an inclusive work environment, we recognize the exceptional engagement and innovation displayed by individuals with disabilities. Nestlé seeks such skilled and qualified individuals to share our mission where you'll join a cohort of others who have chosen to call Nestlé home.
The Nestlé Companies are equal employment opportunity employers. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status or any other characteristic protected by applicable law. Prior to the next step in the recruiting process, we welcome you to inform us confidentially if you may require any special accommodations in order to participate fully in our recruitment experience. Contact us at accommodations@nestle.com or please dial 711 and provide this number to the operator: 1-800-321-6467.
This position is not eligible for Visa Sponsorship.
Review our applicant privacy notice before applying at https://www.nestlejobs.com/privacy.
Job Requisition: 409969