103 Data Scientists jobs in Raleigh

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 (

Our Culture

How we hire (

Our 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 (

We 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.

• Assist in the collection, cleaning, and transformation of large datasets.
• Develop and train machine learning models under supervision.
• Perform exploratory data analysis and identify key trends and patterns.
• Contribute to the evaluation and validation of model performance.
• Create data visualizations to communicate findings effectively.
• Collaborate with senior team members on ongoing data science projects.
• Document methodologies, processes, and results clearly.
• Learn and apply new data science techniques and tools.

Job Description

This role is based remotely but if you live within a 50-mile radius of an office (Atlanta, Austin, Detroit, Warren, or Mountain View), you are expected to report to that location three times a week, at minimum.

The Role

General Motors’ Marketing Applied Sciences (MAS) team is seeking an experienced, technical-oriented, impact-delivering expert in Gen AI and machine learning with a strong ability to execute hands-on technical work. In this role, you will be responsible for designing and building scalable, reliable, and high-performance AI/ML products to support key business initiatives. As a Senior Machine Learning Engineer, you will collaborate closely with product managers, data engineers, data scientists, and other partners to develop state-of-the-art AI solutions that enable the future of marketing. This role sits within the Enterprise Data, Analytics & Insights (EDAI) organization and plays a critical part in transforming GM’s data into actionable, personalized experiences.

Specific duties may include building and utilizing AI-Agent capabilities. Multi-modality MLLM model evaluation, fine-tuning, deployment, as well as bulk inference. Evaluate data quality and improve it. Provide cost estimation and analysis. Support data pipeline orchestration on distributed backend system.

Success in this role requires a blend of technical aptitude, marketing know-how, and cross-functional collaboration. This role is ideal for someone who thrives at the intersection of data science and marketing strategy, and who is eager to shape the future of customer experiences at one of the world’s most iconic automotive brands.

What You'll Do

• Design, build, and deploy autonomous AI agents using LLMs and agentic architecture frameworks.

• Manage memory, tools, goals, and execution environments.

• Build interfaces between agents, internal data systems, RAG pipelines, and cloud-based services.

• Collaborate with internal teams and stakeholders to rapidly prototype and iterate on novel agent capabilities.

• Demonstrate software engineering (SWE) skills, focusing on distributed backend development, batch data processing.

• Experiment and learn the latest AI development.

• Elevate system design, diagnostics, and operational excellence to higher standards.

• Collaborate with cross-functional teams to integrate new features and technologies into the platform.

Your Skills & Abilities (Required Qualifications)

• Bachelors or higher degree in Computer Science or equivalent major or equivalent experience.

• 5+ years professionalsoftware engineering or machine learningengineering experience.

• 5+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML models.

• Strong programming skills in Python, with proficiency in frameworks such asPyTorch (preferred).

• Experience building autonomous agents using frameworks like CrewAI, Agno, LangChain Agents, Autogen.

• Deep understanding of LLM internals (prompting, tokenization, inference, function calling).

• Experience integrating multiple data sources and orchestrating multi-step agent workflows.

• Familiarity with vector databases and search retrieval techniques.

• Experience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).

• Demonstrated ability to lead projects that bridge marketing, data science, and technology to drive measurable outcomes.

• Ability to simplify complex data strategies into actionable marketing solutions and communicate technical concepts to non-technical stakeholders.

• Strong collaborative mindset and experience working with cross-functional teams including marketers, engineers, data scientists, and agency partners.

What Will Give You a Competitive Edge (preferred qualifications)

• Strong experience with Databricks for large-scale data engineering, model training, and serving in production environments.

• Proven ability to optimize ML workloads for performance and cost within Azure-based cloud architecture.

• 5+ years of experience running AI/ML solutions in production, including monitoring, retraining, and drift detection.

• Deep familiarity with MLflow, ideally MLflow 3.0, including model tracking, versioning, and governance.

• Working knowledge of MLOps best practices, including CI/CD for ML, model registry usage, and reproducible workflows.

• Deep understanding of marketing data ecosystems, including online/offline data sources, clean rooms, onboarding solutions, and ID resolution.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Compensation:

• The expected base compensation for this role is: $130,800 - $211,200. 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.

GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

#LI-CC1

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 (

Our Culture

How we hire (

Our 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 (

We 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.

Job DescriptionJob DescriptionCompany Description

Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group.

Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture!

Job Description

We have an exciting opportunity for data scientists specialized in machine learning with interests in agriculture and environment, to join our Global Data Analytics and Predictive Science Team! Within this role you will be working within Global Product Biology and across R&D functions to bring new insights for active ingredient development by developing predictive models, while guiding design, optimization and development of novel crop protection solution. In this role, you will not only apply existing ML approaches but also develop innovative solutions to unique agricultural challenges that haven't been solved before. Key responsibilities will include:

• Designing and implementing innovative machine learning solutions to solve complex agricultural and environmental challenges that often require novel approaches.
• Developing and optimizing predictive models using structured historical cross-functional data from field trials, laboratory experiments, and environmental measurements.
• Translating agricultural/environmental problems into data science solutions in collaboration with domain experts.
• Supporting experimental design to ensure data suitability for modeling purposes.
• Working with IT teams on end-to-end ML projects from data preparation to model deployment and monitoring.
• Presenting insights and recommendations to stakeholders across different functions.
• Engaging with high-priority digital transformation projects to understand opportunities to accelerate the impact of data science for predictive field trialing.

Qualifications

What we are looking for?

• PhD in Computer Science, Data Science, Machine Learning, or related field (or M.Sc. with extensive hands-on ML experience)-
• Proven experience in developing machine learning models, particularly:
  • Supervised learning (Random Forests, XGBoost, SVM etc.).
  • Clustering and dimensionality reduction.
  • Time series analysis.
  • Handling hierarchical/nested data structures.
• Strong programming skills in Python and experience with ML frameworks (scikit-learn, pandas, etc.).
• Demonstrated ability to develop novel solutions beyond applying existing frameworks.
• Creative problem-solving mindset and ability to think outside standard approaches.
• Experience in adapting and modifying algorithms to suit specific problem requirements.
• Passion for emerging technologies, including Generative AI and other innovative approaches.
• Strong communication skills to explain technical concepts to non-technical stakeholders.
• Ability to visualize and story-tell with data to communicate results to parties with varying levels of technical proficiency.
• Interest in agriculture, environmental science, or related fields.

Desired Qualifications

• Experience with version control (Git) and ML experiment tracking.
• Experience working in cross-functional teams.
• Familiarity with experimental design or statistical analysis.
• Experience with cloud computing platforms (AWS, Azure, etc.) and querying (e.g. SQL).

Additional Information

Application & Recruitment Process

Due to exceptionally high interest in this position, we will only consider applications that include a covering letter explaining your motivation for the role and outlining your suitability. Upload your CV and write your cover letter in the “Message to the Hiring Team” section on the application page.

What we offer

• Extensive benefits package.
• Flexible working.
• We offer a position which contributes to valuable and impactful work in a stimulating and international environment.  
• Learning culture and wide range of training options.

Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal.

Learn more about our team and our mission here:

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of , , , , , , , marital or veteran status, , or any other legally protected status. Learn more about our D&I initiatives here:

The Labcorp Genetics team is seeking an experienced Machine Learning Engineer to join our Applied AI team. Our team has pioneered real-time API integrations for model inference, deployed solutions leveraging state-of-the-art machine learning models, and continually brings advanced AI capabilities into practice to improve patient outcomes and business operations. In this role, you will leverage your expertise in Python, machine learning infrastructure, and model development to solve complex business problems and develop production-ready ML systems that directly contribute to improving patient outcomes and advancing healthcare.

RESPONSIBILITIES

• Design, build, deploy, and monitor end-to-end ML solutions-feature pipelines, training workflows, real-time inference.

• Translate open-ended clinical and operational problems into clear ML approaches and success metrics.

• Lead the development of cloud-native infrastructure for secure, compliant, cost-effective model serving.

• Measure and improve model accuracy, latency, and reliability; integrate new research and user feedback.

• Partner with product managers, data scientists, and platform engineers; mentor teammates and set technical standards.

REQUIREMENTS

• 10+ years of professional software or ML engineering experience (or equivalent demonstrable expertise, e.g. through advanced degree).

• Proficiency across the technical stack, from infrastructure to application code, and in ML frameworks and training/deployment workflows. Technologies include: AWS, GCP, Azure, Python, FastAPI, OpenSearch, TensorFlow, PyTorch, Kubernetes, GitHub Actions, and New Relic.

• Strong analytical and problem-solving skills, with a proven ability to create solutions with impact beyond your team.

• Experience with data preprocessing, feature engineering, model training, and model serving at production scale.

• Able to drive and deliver cross-team or cross-discipline AI development projects on time and with high quality.

• Excellent written and verbal communication skills.

PREFERRED

• Experience with LLMs, RAG, embeddings, vector search pipelines.

• Experience with cloud platforms such as AWS, GCP, or Azure.

• Familiarity with MLOps best practices and tools for model versioning and deployment (data drift detection, canary/shadow deploys).

• Knowledge of genetics or experience in the healthcare domain.

EDUCATION

• Advanced degree in Computer Science, Machine Learning, or a related field.

Application Window closes 9/29/2025

Pay Range: $165-205k annual salary

All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees / certifications, as well as internal equity and market data. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here ( .

Labcorp is proud to be an Equal Opportunity Employer:

Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

We encourage all to apply

If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site ( or contact us at Labcorp Accessibility. ( ) For more information about how we collect and store your personal data, please see our Privacy Statement ( .

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization

• Design company-wide personalization architecture and strategy
• Solve complex technical challenges (cold start, exploration/exploitation, real-time learning)
• Research and implement state-of-the-art ML techniques
• Define standards and patterns used across all ML teams
• Lead cross-functional initiatives spanning multiple quarters
• Mentor senior engineers and review critical technical decisions
• Represent the company in the external ML community

• 10+ years building ML systems, with deep personalization expertise
• Recognized expert in ML systems (publications, patents, or industry impact)
• Experience architecting ML platforms serving billions of predictions
• Track record of 0→1 innovation in personalization systems
• Expertise in multiple approaches (deep learning, bandits, causal ML, graph methods)
• Ability to influence without authority and drive consensus
• Exceptional communication skills for technical and executive audiences

• Advanced ML architectures at scale
• Real-time ML systems and edge deployment
• Multi-stakeholder marketplace optimization
• Online learning and adaptive systems
• Privacy-preserving personalization