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Data Science Teaching Assistant Jobs in Missouri

Act as the analytical bridge as our digital assistant expands from the Ford app into the vehicle ... Experience: 7+ years of experience in Data Science, Product Analytics, or Applied Machine Learning ...

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Anderson, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data science, machine learning, and agentic AI to solve high-impact business problems across ... Architect and deploy large-scale AI systems and autonomous AI agents -- conversational assistants ...

(USA) Senior, Data Scientist

Cassville, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We empower team members, stores, and merchants by leveraging data science and advanced analytics ... assistants for analytics enablement. * Design and train large-scale neural networks for time series ...

(USA) Senior, Data Scientist

Noel, MO · On-site

$90K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We empower team members, stores, and merchants by leveraging data science and advanced analytics ... assistants for analytics enablement. * Design and train large-scale neural networks for time series ...

Showing results 21-40

Data Science Teaching Assistant information

What skills and qualifications are needed to be a data science teaching assistant?

To thrive as a Data Science Teaching Assistant, you need a solid understanding of data science concepts, programming (especially Python or R), statistics, and often a relevant degree or coursework. Familiarity with tools such as Jupyter Notebooks, data visualization libraries, and version control systems like Git is typically required. Strong communication, patience, and the ability to explain complex topics clearly are standout soft skills in this role. These skills enable effective student support, reinforce learning outcomes, and contribute to a positive educational environment.

What challenges do data science teaching assistants face when supporting student learning, and how can they be addressed?

Data Science Teaching Assistants often encounter challenges such as explaining complex concepts in accessible ways, managing diverse student skill levels, and providing timely feedback on assignments. To address these challenges, it's important to use clear examples, encourage open communication, and adapt explanations to different learning styles. Collaborating closely with course instructors and leveraging office hours or online discussion forums can also help TAs support students more effectively and ensure no one falls behind.

What is a data science teaching assistant?

Data Science Teaching Assistants (TAs) support instructors and students in data science courses or bootcamps. They help clarify complex concepts, assist with coding exercises, answer student questions, and sometimes grade assignments or provide feedback. TAs often have a strong foundation in programming, statistics, and data analysis, and they play a key role in enhancing the learning experience. Their involvement can range from leading small group sessions to providing one-on-one help during office hours.

How to become a data science teaching assistant?

To become a data science teaching assistant, candidates typically need a strong background in data science, statistics, or related fields, along with proficiency in programming languages like Python or R. Relevant experience with data analysis, machine learning, and teaching or mentoring skills are also important, and some positions may require a graduate degree or coursework in data science or education. Gaining experience through internships, projects, or assisting in courses can improve prospects for this role.

What is the difference between Data Science Teaching Assistant vs Data Analyst?

AspectData Science Teaching AssistantData Analyst
Required CredentialsOften a degree in data science, statistics, or related field; familiarity with data toolsDegree in statistics, data analysis, or related field; proficiency in data tools
Work EnvironmentEducational settings, labs, online coursesBusiness, corporate, or research environments
Employer & Industry UsageUniversities, online education platformsCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data science educationUnderstanding data analysis tasks and roles

While both roles involve working with data and require similar technical skills, a Data Science Teaching Assistant primarily supports educational activities, assisting instructors and students in learning data science concepts. In contrast, a Data Analyst focuses on analyzing data to generate insights for business decisions. The roles differ mainly in their work environment and primary objectives, though they share foundational data skills.

What job categories do people searching Data Science Teaching Assistant jobs in Missouri look for? The top searched job categories for Data Science Teaching Assistant jobs in Missouri are:
What cities in Missouri are hiring for Data Science Teaching Assistant jobs? Cities in Missouri with the most Data Science Teaching Assistant job openings:

$88K - $123K/yr

Full-time

Medical, Retirement

Re-posted 8 hours ago


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 a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.
  • Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
  • Support the development and maintenance of optimization engines that drive high-value business decisions
  • Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
  • Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
  • Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
  • Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
  • Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements
  • Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
  • 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis
  • 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices

Other
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
  • Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
  • Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
  • Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
  • Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
  • Familiarity with responsible AI practices including bias detection, explainability, and governance 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 $88,000 to $123,000 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: 409964
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 a Data Scientist at Nestlé Purina, you'll build and deploy the machine learning and optimization models that drive real business value across functions such as Manufacturing, Marketing, Supply Chain, Finance, and Consumer Insights. At the core of this role is traditional machine learning and optimization, building the models and optimization engines that power some of our highest-value business decisions. Working closely with cross-functional teams, you'll translate business problems into scalable analytical solutions, automate insights, and support enterprise decision-making.
  • Develop and deploy machine learning, statistical, and optimization models that solve business problems and improve operational performance
  • Support the development and maintenance of optimization engines that drive high-value business decisions
  • Collaborate with product owners, data engineers, and business stakeholders to translate business needs into scalable analytical solutions
  • Perform data wrangling, feature engineering, exploratory data analysis, and model evaluation using Python and SQL
  • Design and maintain reusable analytics workflows and automated pipelines for production-grade deployment
  • Support GenAI-enabled applications including retrieval augmented generation (RAG), copilots, and intelligent assistants
  • Contribute to AIOps/MLOps practices including model versioning, monitoring, continuous integration and continuous deployment pipelines, and responsible AI processes

Requirements
  • Bachelor's degree from an accredited institution in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field
  • 3+ years of professional experience in data science, analytics, or machine learning, including developing optimization or predictive models
  • 3+ years of experience in Python (e.g., scikit-learn, pandas, PySpark, and NumPy) and SQL for data manipulation and analysis
  • 1+ years of experience working with cloud computing platforms (e.g., Azure, AWS, or GCP) and DevOps/CI-CD practices

Other
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is preferred
  • Experience with MLOps tools (e.g., MLflow, Azure ML, SageMaker, or Kubeflow) and model deployment in a production environment is preferred
  • Experience working with Databricks, Snowflake, or distributed data processing environments is preferred
  • Experience building GenAI-enabled applications such as RAG, copilots, or intelligent assistants is preferred
  • Familiarity with LLM orchestration frameworks (e.g., LangChain or Semantic Kernel), prompt engineering, and vector databases is preferred
  • Familiarity with responsible AI practices including bias detection, explainability, and governance 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 $88,000 to $123,000 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: 409964