Senior Staff Decision Scientist Job at The New York Times (New York)

Senior Staff Machine Learning Engineer - Clinical - AI Teams

We are looking for a Senior Staff Machine Learning Engineer to join the Clinical...

Location

France , Paris

Salary:

Not provided

Doctolib

Expiration Date

Until further notice

Requirements

10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives
PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience)
Deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning
Expert in Python, PyTorch/Transformers for training, vLLM/similar for inference with a track record deploying ML systems in production (AWS/GCP)
Exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions

Job Responsibility

Own the long-term technical roadmap for clinical ML systems, from model architecture selection to production deployment patterns
Drive strategic build vs. buy decisions, balancing custom development with foundation model APIs
Define standards for safe rollout in healthcare contexts: shadow testing, staged deployment, and human-in-the-loop workflows
Lead design and implementation of LLM-powered clinical agents (consultation summarization, clinical coding, evidence-grounded recommendations)
Establish rigorous evaluation frameworks using real-world clinical datasets, ensuring outputs meet clinical accuracy and safety standards
Build production infrastructure: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability
Define a bold strategy for online and offline performance objectives to reach new levels of healthcare professionals satisfaction
Mentor Staff or Senior ML Engineers and Applied Scientists, elevating technical standards across the organization
Lead cross-functional initiatives spanning Product, Medical Affairs, Legal, and Compliance teams
Translate clinical needs into research questions and production systems that measurably improve patient outcomes

What we offer

Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from abroad for up to 10 days per year thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class
Lunch voucher with Swile card

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
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 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 or Staff Data Scientist, Recommendations

As our founding Recommendation Data Scientist, you'll be instrumental in buildin...

Location

United States , San Francisco

Salary:

200000.00 - 300000.00 USD / Year

Suno

Expiration Date

Until further notice

Requirements

6+ years experience in data science or machine learning roles with direct experience on recommendation systems - ideally in consumer products, music/audio, or content platforms
Strong technical skills in Python, SQL, and statistical modeling
Experience designing and running rigorous experiments, evaluating tradeoffs, deriving clear insights, and making actionable recommendations
Excellent communication and experience working across multiple functions to influence decisions
A self-starter mentality with the ability to thrive in ambiguity, eagerness to wear multiple hats, and passion for continuous learning
Applicants must be eligible to work in the US.

Job Responsibility

Define content strategy: Partner with product and growth leaders to establish our initial content discovery strategy, recommendation goals, and success metrics
Get hands-on: Dive deep into user behavior patterns and content characteristics, using these insights to prototype and improve upon recommendation algorithms and features
Design and run experiments: Create rigorous testing frameworks to validate recommendation improvements and measure impact on user engagement, retention, and music creation
Build evaluation systems: Develop comprehensive frameworks for measuring recommendation quality across multiple dimensions - relevance, diversity, novelty, and user satisfaction
Collaborate cross-functionally: Work closely with engineering to test and implement recommendation algorithms and with product to shape user experience
Shape data culture: As a part of our growing data science team, contribute to strong data foundations and foster a nuanced and healthy company-wide relationship with data

What we offer

Company Equity Package
401(k) with 3% Employer Match & Roth 401(k)
Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)
11 Paid Holidays + Unlimited PTO & Sick Time
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)

Fulltime

Sr. Staff Engineer, Matching & Segmentation

We are seeking a Sr. Staff Engineer and Tech Lead to join Uber's Mobility Matchi...

Location

United States , San Francisco

Salary:

267000.00 - 297000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Computer Engineering, or a related technical field
8-10+ years of professional software development experience, building and operating systems in production environments
Strong knowledge of backend development, distributed systems, and system design for large-scale, low-latency applications
Experience with ML systems, optimization algorithms, or real-time decision systems in production
Demonstrated ability to lead complex, multi-team technical initiatives with significant cross-org dependencies
Excellent communication skills and the ability to collaborate effectively with cross-functional teams including Product, Science, and Operations
Proven ability to mentor and elevate other engineers, including Senior and Staff-level ICs

Job Responsibility

Be the Tech Lead for a complex domain within Matching & Segmentation, setting technical direction and driving architecture decisions across matching algorithms, segmentation models, forecasting systems, and real-time marketplace infrastructure
Design, develop, and deploy ML and optimization systems that solve high-impact business problems at scale — including real-time matching, reinforcement learning-based dispatch, and experiment-driven product development
Lead projects that span across orgs (e.g., matching, driver pricing, rider pricing, surge, platform) with significant cross-org dependencies and design complexity
Collaborate closely with Scientists, Product Managers, and peer engineering teams to define technical strategy, translate business requirements into system designs, and deliver high-quality solutions
Drive ongoing improvements in system reliability, performance, scalability, and efficiency through strong engineering practices, automation, and observability
Mentor and grow engineers across the organization, including Senior and Staff engineers, raising the technical bar and fostering a culture of engineering excellence
Contribute to the design and evolution of Uber's large-scale experimentation infrastructure, including Switchback experiments that power marketplace optimization decisions
Deliver and review technical designs, code, and documentation to a high standard, and champion best practices in data management, data quality, and service deployment

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

RDSO Sr. Mgr Data Sciences

Data is the new gold. Digitalization is generating large quantities of data and,...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Any degree and 12 -17 years of experience in statistics, data science, operations research, mathematics, econometrics, business administration, or a related quantitative field
12-17 years of experience delivering complex analytical projects using quantitative methods, multivariate statistics, predictive modeling, and advanced analytics techniques
Demonstrated experience building, deploying, and optimizing machine learning models to drive business outcomes
Experience leading offshore or globally distributed analytics teams, preferably within an India delivery model
Strong ability to translate business requirements into analytical plans and influence decision-making through clear communication
Hands-on experience with modern data platforms and cloud technologies (e.g., AWS, Snowflake, Spark, Databricks)
Proficiency in Python, R, Scala, Java, SQL, and BI tools (e.g., Tableau, Spotfire)
Demonstrated application of advanced analytics, AI/ML, NLP, and statistical modeling to complex business problems
Strong written, verbal, and presentation skills with senior leadership audiences
Experience operating effectively in a matrixed, global environment

Job Responsibility

Design and develop analyses (e.g., descriptive, diagnostic, predictive, prescriptive) to enable concrete insights and inform timely decision-making
Strategize with partners across the organization to build scalable, production-grade AI/ML products and apply consistent approaches to solving complex business problems
Identify key business questions required to meet evolving needs
prioritize resources to address critical business issues and decisions
Design and build analytical frameworks, tune model parameters, and monitor model performance over time
Lead and provide thought leadership across end-to-end development, deployment, and sustainment of digital and analytics solutions
Partner with IS and data engineering teams to define data requirements, automate model retraining, and ensure robust deployment pipelines
Ensure dashboards and downstream products are fed by reliable, high-quality analytical models aligned to business needs
Apply agile delivery methods to ensure efficient, integrated, and scalable business and system processes
Build, lead, and develop a high-performing India-based Data Sciences team, including hiring, onboarding, performance management, coaching, and career development

What we offer

Full support and career-development resources to expand your skills and maximize your potential
A diverse and inclusive community of belonging, where teammates are empowered to contribute and lead
Competitive total rewards package supporting health, wealth, work/life balance, and career growth

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

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Senior Staff Decision Scientist

Job Description

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