8 Data Science jobs in Puerto Rico

**Job Description**
**Work Arrangement**
**Remote:** This role is categorized as remote. This means the successful candidate may be based anywhere in the United States and is not expected to report to a GM worksite unless directed by their manager.
**Company Vehicle:** Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
**The Role**
The Lead Data Science Statistician - AV Safety Data Analysis will drive the statistical methods used to development and evaluation of autonomous vehicle (AV) performance safety metrics ranging from straightforward to advanced machine learning outputs. This position is part of the Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department in the Global Product Safety, System, and Certification (GPSSC) organization. The SAFE-ADS department serves as the central body for automated driving system (ADS) safety. GM's vision is zero crashes, zero emissions, and zero congestion - AV safety is at the heart of driving forward this vision. If you seek to solve complex data science challenges and see your work drive positive safety change, this role is for you.
The ideal candidate will be an expert in data science, statistical modeling, and data development across the entire data maturity curve. They will have experience in automative, safety, and/or robotic industries and understand how to integrate physics and engineering into the foundational statistical methods and approaches. The technical leader is a self-starter and comfortable solving ambiguous problems. They are passionate about data and creating valuable insights that drive continuous safety improvements and confidence in the system.
As a technical leader in the SAFE-ADS data science team, you will provide robust statistical expertise and guidance, weigh alternatives, and explain the different approaches to senior leaders. You will address safety assurance related questions related to ADS behavioral performance and validation. This role involves working with large-scale data generated by the ADS system. One of the key elements is to scale data science work and accelerating time-to-delivery in insights which requires the integration of physics and engineering principles. As a leader, you'll play a key role in defining and advancing GM's AV quantitative measurement and risk assessment efforts. Your work will contribute to enhancing and scaling our existing safety risk assessment framework and help to ensure coverage of our operational design domain, foundational components of the overall safety case that guides decision-making and drives engineering across the entire AV technology stack.
**What You'll Do (Responsibilities)**
+ Develop and standardize best practices of statistical estimations and uncertainty model for use in ADS safety risk assessment framework
+ Work with the team to develop and implement scalable ADS performance measurement solutions to help ensure safe and compliant on-road behavior and build confidence in the results
+ Use an iterative method of development to share early results, identify emerging risks, and provide ongoing guidance
+ Assess bias estimation and subsampling strategies used by system engineering
+ Support Data Engineering and Software & Services (S&S) in the develop and automate pipelines and tooling of the measurement and risk framework
+ Conduct statistical analysis to evaluate ADS driving software aggregate measures
+ Raise the bar for on-road safety by continuously improving safety and AV measurement, and developing a feedback loop for software improvements
+ Collaborate across various AV development teams, including GPSSC, S&S, Data Engineering, and Legal organizations
+ Stay up to date on industry trends and advancements in data science and AI/ML to drive innovation within the team and cross-functionally
**This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate**
**Your Skills & Abilities (Required Qualifications)**
+ M.S. degree in quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ 8+ minimum years of overall relevant experience, 5 years of which should be experience as a Data Scientist and/or Statistician in a corporate or government setting
+ Expertise in statistical modeling, machine learning and/or deep learning techniques
+ Prior experience with causal inference using instrumented variables and other forms of multifactor attribution methods
+ Expertise generating insights from multiple large-scale datasets
+ Proficiency in SQL and Python
+ Experience with data visualization tools and techniques
+ Collaborative team player and excellent communication and interpersonal skills, with ability to engage effectively with technical and non-technical stakeholders
+ Strong business consulting skills; ability to evaluate the big picture and solve strategic business problems
**What Will Give You a Competitive Edge** **(Preferred Qualifications)**
+ PhD in a quantitative discipline (statistics, operations, biostatistics, econometrics, or other relevant degree.)
+ Experience in safety, automotive, or robotics data science is preferred
**Compensation:**
+ The expected base compensation for this role is $160,200- $245,400 USD Annually
+ Actual base compensation within the identified range will vary based on factors relevant to the position
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance
**Benefits:**
GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
**POSITION SUMMARY**
Cyber Defense within CVS Health is seeking a well experienced Senior Machine Learning Engineer to join and technically lead our growing team. Senior Machine Learning Engineer will be responsible for developing and deploying security specific machine learning solutions following CVS Health specific business and technology requirements. Additionally, this Senior Machine Learning Engineer will help to define, drive and deliver all aspects of the data science product development lifecycle, from solution architecting, programming, testing, implementation, delivery of data science analytics products.
**_What We Expect of You:_**
+ Coordinate advanced data science projects and develops deliverables, taking ownership of assigned tasks and ensuring their successful completion.
+ Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production.
+ Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users.
+ Build data pipelines and leverage high-quality datasets to power your Machine learning models.
+ Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models.
+ Lead the performance and ongoing enhancements of your products.
**Required Qualifications**
+ 5+ years of expertise in machine learning, statistical analysis, security, and network data to model risk-driven models of workforce behavior and provide context to security analysts to drive business decisions.
+ 5+ years of programming experience in Python and experience with machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
+ 5+ years of customer interfacing experience (internal or external), demonstrating excellent ability to communicate technical ideas and results to non-technical audiences.
+ 5+ years' experience with Gen AI/LLM/NLP/MLOps or similar methodologies.
+ 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders
+ 1+ year(s) of experience independently managing deliverables
**Preferred Qualifications**
+ Experience developing computational methods and algorithms.
+ Experience in software development.
+ Experience developing and applying data science methods to anomaly detection and/or times series problems.
+ Experience in Cloud computing environment.
+ Master's degree in data science, Mathematics, Statics.
**Education**
Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
**BUSINESS OVERVIEW**
Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
**Anticipated Weekly Hours**
40
**Time Type**
Full time
**Pay Range**
The typical pay range for this role is:
$83,430.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
**Great benefits for great people**
We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
+ **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** .
+ **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
+ **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit anticipate the application window for this opening will close on: 10/31/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

**Become a part of our caring community and help us put health first**
Come work with a team of skilled engineers on the AI engineering team as we enable multiple ML use cases across the company. We're working with the latest models on the latest architectures to solve the most pressing problems and challenges in the health care space. Your contributions will have an impact from day one as we deliver world class solutions that address inefficiencies in the health care.
The Senior Cognitive/Machine Learning Professional collaborates with analytic and data teams to set objectives, approaches, and work plans. Researches and evaluates new analytical methodologies, approaches, and solutions. Develops and validates statistical forecasting models and tools. Interprets and communicates analytic results to analytical and non-analytical business partners and executive decision makers. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.
**Use your skills to make an impact**
**Required Qualifications**
+ Bachelor's Degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field and 5 years or experience OR Master's Degree in a similar field and 3 years of experience
+ 3-5 years of professional experience leveraging large sets of structured and unstructured data to develop tactical and strategic insights
+ Experience developing and validating statistical forecasting models and tools
+ Experience interpreting and communicating analytic results to analytical and non-analytical business partners and executive decision makers
+ Experience driving resources, approach, and tactical operations for projects and initiatives involving own departmental area
+ Clear oral and written communication skills
+ Flexible, dynamic personality who is able to work independently
+ Must be passionate about contributing to an organization focused on continuously improving consumer experiences
+ **2-5 years' experience developing in Python**
+ **Kubernetes experience**
+ **Experience working in a cloud environment**
**Preferred Qualifications**
+ Master's degree in a quantitative discipline, such as Computer Science, Mathematics or Statistics and/or related field
+ Healthcare or managed care experience
+ Experience performing data management, mining, and manipulation along with analytics
+ **Experience in Azure**
**Additional Information**
To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
**Scheduled Weekly Hours**
40
**Pay Range**
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$129,300 - $177,800 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
**Description of Benefits**
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline:
**About us**
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our

**Job Description**
**Role:** The Smart Agents group is responsible for building the ML models and system to simulate road users in a variety of situations and generate the scenarios used for testing and training AV driving policies. If you think of Simulation as a video game our autonomous vehicles train on to learn to drive, the Smart Agents team develops the ML/AI models that control the other characters in the video game to interact in realistic ways as the av drives-eg, the other vehicles, bikers, and pedestrians. Our technology stack includes Generative AI models (GPT) and Reinforcement Learning (RL) policies. The Smart Agents group work closely with the rest of the Simulation, and our partners Behaviors, Perception, and Safety Engineers.
The specific duties may include ML/RL model development as well as training loop development, streamlining optimization, integration, creating ML infrastructure, metrics, and data pipelines for production model deployment as well as for fast experimentation cycles.
**What You'll Do:**
+ Support the team in developing machine learning (ML) and reinforcement learning (RL) models, including training loop development and optimization.
+ Streamline integration and create ML infrastructure, metrics, and data pipelines for production model deployment and rapid experimentation.
+ Work as part of an ML team and contribute strong software engineering (SWE) expertise.
+ Support the ML team in accelerating project timelines, particularly in areas related to Autopilot, Lane Keep, and autonomous vehicle (AV) technologies.
+ Experience in simulation and robotics is highly desirable, with a preference for candidates from AV or robotics backgrounds rather than solely cloud-focused companies.
**Your Skills & Abilities:**
+ 4+ years of experience in the field of robotics or latency-sensitive backend services
+ Background working with machine learning teams, algorithms, and models
+ Bonus: Experience building highly performant ML and system pipelines
+ Strong programming skills in modern C++ or Python
**Bonus:**
+ Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
+ Passionate about self-driving car technology and its impact on the world
+ Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
+ Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
+ Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
+ Track record in deploying perception/prediction/av models into real world environments
**Your Skills & Abilities** **:**
+ 4+ years of experience in the field of robotics or latency-sensitive backend services
+ Proven experience in machine learning and classification. Familiar with ML frameworks such as Tensorflow or PyTorch
+ Experience building highly performant ML and system pipelines
+ Strong programming skills in modern C++ or Python
+ Experience with profiling CPU and/or GPU software, process scheduling, and prioritization
+ Passionate about self-driving car technology and its impact on the world
+ Expertise in setting architectures that are scalable, efficient, fault-tolerant, and are easily extensible allowing for changes overtime without major disruptions.
+ Ability to design across multiple systems. Ability to both investigate in sophisticated areas as well as a good breadth of understanding of systems outside of your domain.
+ Ability to wear several hats shifting between coding, design, technical strategy, and mentorship combined with excellent judgment on when to switch contexts to meet the greatest need.
+ Track record in deploying perception/prediction/av models into real world environments
+ Experience working with RL and sequence prediction (ML) models
**Compensation** **:** The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.
+ The salary range for this role is $134,000 to $235,900. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
+ Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.
+ Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
**Remote:** This role is based remotely but if you live within a 50-mile radius of Atlanta, Austin, Detroit, Warren, Milford or Mountain View, you are expected to report to that location three times a week, at minimum.
**Relocation:** This job may be eligible for relocation benefits.
#LI-MH2
**About GM**
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
**Why Join Us**
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
**Benefits Overview**
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources ( .
**Non-Discrimination and Equal Employment Opportunities (U.S.)**
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire ( .
**Accommodations**
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email ( ) us or call us at . In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about:
**Our Company ( Culture**
**How we hire ( diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility.
Explore our global locations ( are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) ( . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more.
Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest.
The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are seeking an exceptional and highly motivated Technical Expert to join our dynamic Quality Analytics team in Global Data Insight and Analytics (GDIA) organization. This position is for a recognized authority in signal processing and time series analysis, with a proven track record of developing novel ML models and a history of contributing to research. As the "GO-TO" individual for this discipline, you will be instrumental in discovering and implementing relevant technologies and processes to solve complex quality-related challenges. You will apply your deep expertise to various domains, including warranty analytics, and will be expected to learn and adapt quickly to new data and problem spaces.
+ Serve as a key **Technical Contributor** by leading the discovery, development, and implementation of cutting-edge technology, processes, and business concepts in the quality analytics space.
+ Apply your deep expertise in signal processing and machine learning to analyze complex warranty data, vehicle telematics, and other diverse datasets to uncover actionable insights.
+ Design, develop, and deploy advanced machine learning and generative AI models into production to predict failures, identify root causes, and drive improvements in vehicle quality.
+ Demonstrate initiative and capability by advising management on technology delivery and ensuring effective knowledge transfer across the team.
+ Provide technical leadership and mentorship to your peers, guiding them in the delivery of technical objectives.
+ Thrive in a dynamic environment by seamlessly switching between multiple high-impact projects across the enterprise, showcasing your adaptability and broad technical expertise.
+ Regularly present complex findings and strategic recommendations to organizational leadership at appropriate levels.
+ Volunteer and serve on relevant internal and external professional committees and societies, enhancing your professional growth and the organization's technical reputation.
**The minimum requirements we seek:**
+ A Master of Science (M.S.) degree or academic equivalent in a discipline commensurate with the specialty, such as Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
+ 5+ years of extensive proficiency in the Python programming language for advanced data analysis and machine learning.
+ 5+ years as a subject matter expert in signal processing and its application to real-world problems.
+ 3+ years of demonstrated experience in developing and deploying machine learning models into a production environment.
**Our preferred qualifications:**
+ A Ph.D. in a relevant technical field is highly preferred, such as Computer Science, Electrical Engineering, Data Science, or a related quantitative field.
+ A strong publication record in peer-reviewed journals or conferences in the areas of machine learning or signal processing.
+ Deep understanding and practical experience with generative AI concepts and tools.
+ Proven ability to rapidly learn new concepts and apply machine learning methodologies to new and diverse domains.
+ Excellent communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder.or all of the above? No matter what you choose, we offer a work life that works for you, including:
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here: Benefit Summary ( role is remote unless you are located within 50 mile radius of a Ford Hub, which you will be required to commute on site 4x a week_**
**_*Visa Sponsorship IS provided for this specific role_** ***
**_*Relocation assistance IS NOT provided for this specific role*_**
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call .
#LI-Remote
#LI-DS2
**Requisition ID** : 51093

**Job Description**
**Do you want to be a part of changing healthcare?**
Oracle is excited to be using our resources, knowledge, and expertise-as well as our successes in other industries-and applying them to healthcare to make a meaningful impact. As people, we all participate in healthcare, it's deeply personal, and we put the human at the center of each of our decisions. Improving healthcare for all requires bringing unique perspectives and expertise together to holistically tackle the biggest problems in global health including physician burnout, patient access to data, and barriers to quality care.
Oracle Health Applications & Infrastructure (OHAI) is developing patient- and provider-centric solutions rapidly and securely. We leverage the power of Oracle Cloud Infrastructure (OCI) to deliver robust, scalable solutions across patient, provider, payer, public health, and life sciences sectors. At OHAI, you'll work with experts across industries and have access to cutting-edge technologies. We apply artificial intelligence, machine learning, large language models, learning networks, and data intelligence in an applied, scalable, and embedded way. Join us in creating people-centric healthcare experiences.
**About the Team:**
As part of the Oracle Health Foundations Organization, you'll join a high-impact team focused on using machine learning and intelligent automation to improve the performance and reliability of Oracle Health's cloud platforms. We're building systems that detect anomalies, predict incidents, and enable proactive intervention at scale.
As a Senior Machine Learning Engineer, you will play a leading role in shaping the technical direction of our ML systems. You'll be responsible for not only designing and building production-grade models and infrastructure, but also mentoring others, influencing architectural decisions, and driving cross-team collaboration. This is a high-ownership, high-visibility role where you will combine your engineering acumen with applied ML expertise to solve business-critical problems.
**Responsibilities**
**Responsibilities:**
+ Design and lead the implementation of machine learning systems that detect anomalies, predict incidents, and enable autonomous reliability features in Oracle Health platforms.
+ Develop scalable software services that integrate ML models into observability and operations pipelines.
+ Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, and iteration using MLOps best practices.
+ Guide architecture decisions around ML infrastructure, data pipelines, model serving, and observability integrations.
+ Partner with cross-functional stakeholders (engineering, SRE, product, operations) to align technical solutions with strategic objectives.
+ Mentor and provide technical direction to junior engineers and data scientists on modeling, code quality, and deployment best practices.
+ Stay current with emerging technologies in ML engineering, anomaly detection, time series, and reliability automation-and lead efforts to evaluate and integrate them.
**Requirements:**
+ 10+ years of experience in applied machine learning, with at least 3+ years in an engineering-heavy role deploying ML models to production at scale.
+ Strong software development and system design skills in Python; experience building APIs, services, and production systems.
+ Expertise in machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
+ Proven experience architecting and deploying models in cloud environments (OCI, AWS, GCP, or Azure), with knowledge of CI/CD, containerization, and orchestration (e.g., Docker, Kubernetes).
+ Deep knowledge of time series modeling, anomaly detection, and telemetry data (logs, metrics, traces).
+ Proficiency in SQL and distributed data tools (e.g., Spark, BigQuery, Flink, or similar).
+ Demonstrated ability to drive technical strategy and influence cross-functional direction.
+ Bachelor's, Master's, or PhD in Computer Science, Machine Learning, or a related field preferred.
**Skills:**
+ Machine Learning System Design & Deployment
+ MLOps, CI/CD Pipelines, Model Monitoring
+ Production-Grade Software Engineering (Python, APIs, Services)
+ Anomaly Detection & Forecasting with Observability Data
+ Scalable Data Pipelines (Streaming and Batch)
+ Cloud-Native Architecture (OCI, AWS, GCP)
+ Distributed Systems & Data Engineering (Spark, Kafka, etc.)
+ Cross-Team Technical Leadership
+ Strong Communication & Influence Skills
#LI-REMOTE
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC5
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

**Job Description**
Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment.
In this highly strategic role, you will drive the design, development, and integration of state-of-the-art AI solutions into healthcare products as an applied science leader. You will collaborate with stakeholders across product, engineering to shape the Healthcare AI roadmap and deliver value to customers and partners.
As ML Engineer, you will drive the scientific vision for Healthcare AI systems.
**Responsibilities**
**Responsibilities**
+ Build and optimize LLM-powered agents for clinical and operational workflows (summarization, prior auth, patient messaging, coding).
+ Select and version foundation models and prompts to meet privacy, cost, latency, and safety targets.
+ Add guardrails, uncertainty handling, human-in-the-loop, and evidence-grounded citations.
+ Adapt LLMs with healthcare data via prompt engineering, instruction tuning, and preference optimization.
+ Evaluate methods using health-related datasets to ensure outputs are accurate, reliable, and trustworthy.
+ Implement RAG, structured outputs, and function/tool calling for EHR and partner integrations.
+ Maintain evaluation harnesses and datasets; run error analysis and active learning to reduce bias and close gaps.
+ Productionize services with CI/CD, containerization, autoscaling, vector stores, and cost controls.
+ Instrument traces, metrics, and logs across prompts, tools, retrieval, and outputs; enforce SLAs with canary/blue-green rollouts and safe rollback.
**Qualifications**
+ Have an MS/PhD in Computer Science, ML, or related field, or equivalent experience
+ 2+ years production experience with LLM agents
+ Proven record improving agent reliability via reward modeling, policy learning, constitutional methods, tool-use strategies, and safety
+ Publications, open-source contributions, or patents in LLMs, IR, or clinical NLP.
+ Productionize services with CI/CD, containerization, autoscaling, vector stores, and cost controls.
+ Instrument traces, metrics, and logs across prompts, tools, retrieval, and outputs; enforce SLAs with canary/blue-green rollouts and safe rollback.
+ Productionize services with CI/CD, containerization, autoscaling, vector stores, and cost controls.
+ Instrument traces, metrics, and logs across prompts, tools, retrieval, and outputs; enforce SLAs with canary/blue-green rollouts and safe rollback.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from: $96,800 to $223,400 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.