Senior Staff Data Scientist (AI Solutions - Machines) Job at Palo Alto Networks (Petah Tikva)

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems
Expert level Python
Experience with PyTorch, Terraform, Terragrunt, Docker, Kubernetes, GitHub Actions, Datadog
Experience with Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover: validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family

Fulltime

Senior Staff Data Engineer- ML & AI Platform

At Marktplaats, data is at the heart of everything we do, but Intelligence is wh...

Location

Netherlands , Amsterdam

Salary:

Not provided

Adevinta

Expiration Date

Until further notice

Requirements

10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
Deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
Strong background in building automated pipelines and ensuring system observability
Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
Solid experience serving models at low latency and high concurrency using containerized solutions
Ability to speak the language of AI/ML Engineers and effectively bridge the gap between experimental code and production systems

Job Responsibility

Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
Act as a first mover, validate new Databricks features and integrate them into the platform
Write the guidelines for GenAI development, helping teams transition from notebook experiments to production-grade LLM applications
Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps

What we offer

An attractive Base Salary
Participation in our Short Term Incentive plan (annual bonus)
Work From Anywhere: Enjoy up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A collaborative environment with an opportunity to explore your potential and grow

Fulltime

Senior Staff Research Scientist - Clinical AI Lab

At Doctolib, we're revolutionizing healthcare delivery through advanced AI syste...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

PhD or Master’s degree (plus significant experience) in Computer Science, Machine Learning, Mathematics, or a related field
Publications as first author in top-tier AI/ML conferences such as NeurIPS, ICLR, ICML, ACL, EMNLP, or relevant medical informatics venues are a plus
Deep understanding of machine learning and deep learning concepts, with hands-on experience in NLP, LLMs, or generative AI
Strong programming skills in Python (and ideally experience with ML frameworks such as PyTorch or JAX)
Familiarity with modern data tools and scalable training on large datasets
Track record of independently driving research and translating it into real-world applications
Experience designing experiments, evaluating intrinsic and extrinsic metrics, and iterating quickly
Curiosity and drive to learn, research, and apply new machine learning techniques
Comfortable working in highly cross-functional teams, with the ability to clearly communicate complex concepts to diverse audiences
Passionate about sharing knowledge and contributing to a culture of learning and innovation

Job Responsibility

Solve Real-World Healthcare Challenges: Design and build advanced machine learning models, especially in NLP and large language models, to improve healthcare workflows, enhance patient experiences, and power intelligent health solutions at scale
Innovate & Experiment: Research and prototype novel algorithms and architectures, staying at the forefront of AI/ML developments. Bring new ideas from concept to working prototypes, leveraging the latest advances in deep learning and generative AI
Collaborate Across Teams: Work closely with product, engineering, medical experts, and other stakeholders to translate business needs into impactful research projects. Communicate technical concepts and results clearly to both technical and non-technical audiences
Drive Impact: Analyze large, complex data sets to extract actionable insights, define key metrics, and rigorously evaluate model performance
Share & Learn: Advance Doctolib’s AI expertise by sharing findings within the team and with the wider ML community through publications, talks, and workshops. Mentor and support other scientists and engineers in adopting best practices

What we offer

Free comprehensive health insurance for you and your children
25 days of paid vacation per year, plus up to 14 days of RTT
Free mental health and coaching services through our partner Moka.care
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Lunch vouchers (Swile card) worth €8.50 per working day, with €4.50 covered by Doctolib
A subsidy from the work council to refund part of the membership to a sport club or a creative class
50% reimbursement of your public transport subscription
Parent Care Program: receive one additional month of leave on top of the legal parental leave
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Relocation support in case of international mobility

Fulltime

Staff Data Scientist - GM Motorsports

The Staff Data Scientist is a senior technical leader responsible for driving th...

Location

United States , Austin, Texas; Concord, North Carolina; Warren, Michigan

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, Electrical/Mechanical Engineering, Applied Mathematics, or a related quantitative field
equivalent experience considered
Typically 7+ years of hands-on experience in data science / machine learning roles, with significant experience leading projects or initiatives
Demonstrated experience in complex, high-stakes domains (e.g., motorsports, automotive, aerospace, manufacturing, or similar)
Expert-level proficiency in Python and core data/ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch and/or TensorFlow)
Strong foundation in statistical modeling, machine learning, and experimental design
Experience building and deploying production ML systems (CI/CD for ML, model serving, monitoring)
Proficiency with SQL and working with large, complex datasets (telemetry, time series, logs, sensor data, etc.)
Familiarity with cloud platforms and modern data stacks (e.g., Azure, Kubernetes, feature stores, ML pipelines)
Experience with time-series telemetry, simulation data, race strategy, or vehicle performance analysis is strongly preferred

Job Responsibility

Define and evolve the data science roadmap for GM Motorsports in alignment with program and competition priorities
Architect end-to-end ML and analytical solutions (from data ingestion and feature engineering to model deployment and performance monitoring)
Establish and enforce best practices in experimental design, model development, validation, and MLOps within the team
Lead high-visibility projects (e.g., race strategy models, performance prediction, simulation, telemetry analytics, audio/vision-based models) from problem framing through delivery
Translate ambiguous racing and business questions into clear problem statements, analytical plans, and measurable success criteria
Own technical decision-making, including method selection, trade-offs, and risk mitigation
Partner with race engineers, competition leaders, and program managers to identify the most valuable AI/ML opportunities
Build models and tools that directly support race weekend decision-making, vehicle development, and long-term performance analysis
Ensure solutions are usable in real workflows: robust, interpretable where needed, and integrated into existing tools and systems
Provide technical mentorship and code/analysis review for junior and senior data scientists

What we offer

This job may be eligible for relocation benefits

Fulltime

Senior Data Scientist

We are seeking an experienced Data Science Specialist to join our AI delivery te...

Location

India , Bengaluru

Salary:

Not provided

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Statistics, Mathematics, or a related quantitative field strongly preferred
10+ years of hands-on experience in applied data science and machine learning, with a proven track record of leading complex AI initiatives
Demonstrated expertise in designing and implementing novel machine learning approaches for unique business challenges
Deep understanding of modern AI/ML architectures, including advanced neural networks, reinforcement learning, and generative AI
Extensive experience with distributed computing, model optimization, and scaling AI solutions in production environments
Strong background in mathematical modeling, statistical analysis, and algorithmic complexity
Proven ability to lead technical strategy and drive innovation in data science practices
Experience architecting end-to-end ML solutions that integrate with complex enterprise systems
Advanced expertise in multiple programming languages (Python, R, Java, Scala) and major deep learning frameworks
Comprehensive understanding of MLOps practices and experience designing deployment architectures

Job Responsibility

Architect and lead the development of sophisticated machine learning solutions for our most complex and high-impact business challenges, ensuring scalability, maintainability, and business value
Drive technical decision-making across multiple AI initiatives, providing expertise in selecting appropriate methodologies, frameworks, and approaches for different use cases
Establish technical standards and best practices for the entire data science practice, including model development, evaluation criteria, and deployment strategies
Serve as the principal technical advisor to senior leadership on AI capabilities, limitations, and strategic opportunities
Lead proof-of-concept initiatives for emerging AI technologies and assess their potential impact on business objectives
Design and implement novel machine learning approaches when standard solutions prove insufficient for complex business problems
Provide technical oversight for critical AI projects, ensuring quality, scalability, and alignment with architectural standards
Mentor and guide senior data scientists, helping them grow their technical expertise and problem-solving capabilities
Collaborate with enterprise architecture teams to ensure AI solutions align with broader technical strategies and standards
Lead technical reviews and provide architectural guidance for complex AI solutions across multiple teams

What we offer

Have peace of mind and body with our health insurance
Drive forward your career through professional development opportunities
Achieve your personal goals with our Employee Assistance Programme

Fulltime

Senior Staff Machine Learning Scientist, Recommendations

At SiriusXM and Pandora, recommendations sit at the core of the user experience....

Location

Ireland , Dublin

Salary:

Not provided

SiriusXM

Expiration Date

Until further notice

Requirements

M.S. in a quantitative field required
Ph.D. preferred
7+ years production experience implementing recommender systems, machine learning pipelines, models at scale in Python, Java, Scala, or similar languages
Production ML: Knowledge of production ML best practices such as model versioning, tracking, deployment, monitoring
serving concepts such as feature stores, etc.
ML Concepts: Expertise with modern ML approaches for recommendations such as transformers, other deep-learning based recommender/ranking approaches, and LLM/agentic recommendation approaches
Soft Skills: Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences
Mindset: Self-motivated, growth-oriented, and driven to pursue solutions to challenging problems

Job Responsibility

Design, build, and improve traditional, deep-learning, transformer-based, and AI-based personalised recommendation models for various audio-content recommendation tasks
Drive the development of novel methods to enable cross-domain recommendations, live on-the-air content recommendations, multi-stakeholder recommendations, and improved recommendation explainability and interactivity
Continuously monitor, evaluate, optimise, and improve model performance, ensuring alignment with business goals and high-quality user experiences via offline metrics and A/B testing
Establish and scale best practices for ML development, deployment, and evaluation
Lead cross-functional efforts with product, backend engineers, data engineers, and machine learning engineers to define and drive roadmaps across multiple recommendation and personalisation surfaces
Stay up-to-date with the latest techniques in machine learning and apply these advancements to solve complex problems in recommendations and ranking, helping set the technical direction and vision for personalisation in a rapidly evolving ML and AI landscape
Own and influence the technical strategy for recommendation and personalisation systems across the organisation
Elevate the team’s capabilities by mentoring junior members, conducting thorough code reviews, and fostering an environment of shared knowledge and continuous learning

Fulltime

Staff Applied Research Scientist - Martech AI

We are seeking a highly experienced and strategic Staff Applied Research Scienti...

Location

United States , New York City; Palo Alto; Chevy Chase; Dallas; Seattle; Chicago; Austin

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

BS in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, PhD is preferred
At least 6+ years of professional experience delivering applied AI/ML solutions in production, including leading cross-functional initiatives with enterprise impact
Demonstrated ability to leverage LLMs and agentic AI systems to develop and deploy personalized marketing solutions, including individualized content generation, campaign targeting, and optimization of customer engagement/retention/conversion strategies
Strong proficiency in Python and SQL
deep experience with ML frameworks such as PyTorch, TensorFlow, and Scikit-learn
Demonstrated experience establishing KPI frameworks, experimentation, and causal analysis to quantify model impact and inform prioritization
Excellent stakeholder management skills with a track record of driving alignment and adoption across product, engineering, and business teams
Strong written and verbal communication skills
ability to set the right context and explain complex technical topics to varied audiences, including executives

Job Responsibility

Identify High-Impact Opportunities: Proactively surface and shape high-value AI/ML initiatives by engaging with product, engineering, and operations to align technical roadmaps with strategic business goals
Architecture & Technical Direction: Provide architectural leadership for AI/ML solutions impacting multiple stakeholders. Establish standards for scalability, reliability, observability, compliance, and cost efficiency across online and batch systems
Development & Productionization: Lead end-to-end delivery of AI/ML solutions, including model design, data pipelines, feature stores, evaluation, deployment, A/B testing, and monitoring in real-time and batch environments. Ensure clear plans, milestones, and on-time delivery
ROI Measurement & Experimentation: Establish robust mechanisms to quantify business impact, including KPI definition, experimentation frameworks, and causal inference approaches to guide decision-making and prioritize investments
Innovation & Research Integration: Stay current with cutting-edge research in ML, GenAI, and optimization. Prototype and harden novel techniques that push the boundaries of innovation within GEICO’s insurance ecosystem
Set technical direction for multi-quarter research initiatives
build evaluation frameworks, ensure reproducibility/responsible AI, and drive cross-functional adoption
shepherd patents
Cross-Functional Collaboration: Champion collaboration across Product, Engineering, Data Platform, Governance, Legal, and Operations to ensure responsible, compliant, and effective adoption of AI systems
Mentorship & Capability Building: Mentor junior and senior scientists, elevate technical standards (coding, testing, documentation, reproducibility), and foster a culture of scientific rigor and engineering excellence

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Staff Scientist, Rider Booking Experience

At Uber, our mission is to reimagine how the world moves for the better. As part...

Location

United States , New York; Seattle; San Francisco

Salary:

216000.00 - 240000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D. or equivalent experience in a quantitative field such as Economics, Statistics, Machine Learning, or Applied Mathematics
Minumal 4 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact
Deep expertise in SQL, Python, and statistical analysis
Advanced knowledge of experimentation and causal inference methodologies
Experience presenting to and influencing senior leadership and executives

Job Responsibility

Drive Strategic Vision: Shape the vision for the mobility booking experience and translate the strategy into measurable goals, robust models, and scalable systems
Propose and defend data-driven hypotheses in senior and executive reviews
shape long-term product direction with clear narratives and analysis
Modeling, Metrics & Experimentation: Design and scale advanced machine learning and optimization systems to power steps in the booking flow
Establish key success metrics and measurement frameworks for features and launches
Incubate 0-to-1 solutions to evaluate and iterate on emerging AI user experiences
Cross-Functional Leadership: Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery
Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
All full-time employees are eligible to participate in a 401(k) plan
Eligible for various benefits

Fulltime

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Senior Staff Data Scientist (AI Solutions - Machines)

Job Description

Job Responsibility

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