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Privacy Preserving Machine Learning Jobs in Missouri

Boeing

Experienced Data Scientist

Hazelwood, MO · On-site

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

The Boeing Company

Senior Data Scientist

Hazelwood, MO · On-site

$162.35 - $219.65/hr

... privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle. * Stay up-to-date with the latest advancements in data science, machine learning, and aerospace ...

New

Inland Empire Health Plan

Data Scientist II

California, MO · On-site

$118.60 - $157.14/hr

Build deep-dive analyses and eventual machine learning models to better forecast risk across the ... Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP ...

Walmart

Staff, Software Engineer

Anderson, MO · On-site

$110K - $220K/yr

... privacy, and regulatory compliance. What You'll Bring: * Extensive experience building and scaling machine learning systems in production, with a strong focus on NLP and/or Gen AI applications.

Walmart

Staff, Software Engineer

Cassville, MO · On-site

$110K - $220K/yr

... privacy, and regulatory compliance. What You'll Bring: * Extensive experience building and scaling machine learning systems in production, with a strong focus on NLP and/or Gen AI applications.

Walmart

Staff, Software Engineer

Noel, MO · On-site

$110K - $220K/yr

... privacy, and regulatory compliance. What You'll Bring: * Extensive experience building and scaling machine learning systems in production, with a strong focus on NLP and/or Gen AI applications.

Jobgether

$5.0K - $6.5K/mo

Experience with data products, Big Data environments, BI, analytics, or machine learning teams is ... Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process ...

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All JobsPrivacy Preserving Machine Learning JobsPrivacy Preserving Machine Learning Jobs in Missouri

Privacy Preserving Machine Learning information

What are some common challenges faced by professionals working in privacy preserving machine learning roles?

Professionals in Privacy Preserving Machine Learning often encounter challenges such as balancing model accuracy with strict privacy requirements, selecting appropriate privacy-preserving techniques (like differential privacy or federated learning), and ensuring compliance with evolving data protection regulations. Collaborative projects may also involve coordinating with legal, data security, and software engineering teams to implement robust solutions. Additionally, staying updated with the latest research and adapting to new threats or vulnerabilities is a continuous part of the role.

What is the difference between Privacy Preserving Machine Learning vs Data Scientist?

AspectPrivacy Preserving Machine LearningData Scientist
Required CredentialsTypically requires knowledge of machine learning, data privacy, and security certificationsRequires degrees in data science, statistics, or related fields; certifications like Certified Data Scientist are common
Work EnvironmentWorks in research, development, and implementation of privacy-focused ML models, often in tech or finance sectorsAnalyzes data, builds models, and provides insights across various industries including marketing, finance, and healthcare
Employer & Industry UsageUsed by organizations prioritizing data privacy, such as healthcare, finance, and tech companiesEmployed across diverse sectors for data analysis, predictive modeling, and decision support

Privacy Preserving Machine Learning focuses on developing models that protect data privacy during training and inference, while Data Scientists analyze and interpret data to generate insights. Both roles require strong analytical skills, but Privacy Preserving Machine Learning emphasizes security and privacy techniques, whereas Data Scientists focus on data analysis and modeling.

What is privacy preserving machine learning?

Privacy preserving machine learning refers to techniques and methods that allow data analysis and model training while protecting sensitive information. This field focuses on ensuring that personal or confidential data is not exposed or compromised during the development and deployment of machine learning models. Approaches such as federated learning, differential privacy, and homomorphic encryption are commonly used. These methods enable organizations to leverage data for insights and predictions without violating privacy regulations or risking data breaches. Privacy preserving machine learning is especially important in industries like healthcare, finance, and any sector handling personal data.

What are the key skills and qualifications needed to thrive as a privacy preserving machine learning engineer?

To thrive as a Privacy Preserving Machine Learning Engineer, you need a strong background in machine learning, data privacy techniques (such as differential privacy or federated learning), and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow Privacy, PySyft, and privacy-enhancing technologies, along with certifications in data security or privacy, are often required. Strong problem-solving abilities, meticulous attention to detail, and the ability to communicate complex technical concepts clearly set top professionals apart. These skills ensure the development of robust machine learning models that protect sensitive data while delivering valuable insights, maintaining compliance and trust.
What job categories do people searching Privacy Preserving Machine Learning jobs in Missouri look for? The top searched job categories for Privacy Preserving Machine Learning jobs in Missouri are:
What cities in Missouri are hiring for Privacy Preserving Machine Learning jobs? Cities in Missouri with the most Privacy Preserving Machine Learning job openings:
Privacy Preserving Machine Learning jobs near you

Experienced Data Scientist

Boeing

Hazelwood, MO • On-site

Full-time

Medical, Life, Retirement

Posted 13 days ago

Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 612 frontline employees who took The Breakroom Quiz

33rd of 538 rated manufacturers

Job description

Experienced Data Scientist
Company:
The Boeing Company
Boeing Defense, Space & Security (BDS) is hiring an Experienced Data Scientist for a Proprietary Program in Saint Louis, MO. We seek passionate, curious, and talented data scientists who want their job to have real-world impacts by solving complex, challenging, and meaningful data science problems. As an experienced/lead data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus.
Position Responsibilities:
  • Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.
  • Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making
  • Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.
  • Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.
  • Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.
  • Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.
  • Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.
  • Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.
  • Mentor and provide guidance to junior data scientists.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO.
Travel may be required up to 10% of the time; Domestically depending on business needs.
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active).
To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.
Basic Qualifications (Required Skills/Experience):
  • Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
  • 5+ years of professional experience in data science, artificial intelligence, or machine learning
  • Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java.
  • Experience leading technical teams or projects

Preferred Qualifications (Desired Skills/Experience):
  • Advanced degree (Master's or Doctorate) in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement
  • 3+ years of experience in natural language processing
  • 3+ years of experience in SQL or NoSQL Database Languages
  • Proficient with data visualization tools
  • Proficient in deep learning frameworks such as PyTorch and TensorFlow
  • Experience with generative AI models, including LLMs, for building knowledge-driven solutions.
  • Experience integrating models into customer environments, both on-prem and in cloud environments
  • Experience working in an agile software development team
  • Experience with MLOps and MLOps tool stack such as ClearML or MLFlow
  • Experience working in cloud computing environments such as Azure and AWS

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Total Rewards:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:
  • Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting
  • Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Summary pay range: $128,350 - $173,650
Language Requirements:
Not Applicable
Education:
Bachelor's Degree or Equivalent
Relocation:
This position offers relocation based on candidate eligibility.
Export Control Requirement:
Safety Sensitive:
Security Clearance:
This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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