Senior Staff Scientist Job at Teradyne (North Reading)

Senior Staff Scientist, Rider Science

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

Location

United States , San Francisco

Salary:

252000.00 - 280000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields
Minimum 6 years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product impact
Deep expertise in Python or R, and statistical analysis
Advanced knowledge of experimentation and causal inference methodologies
Experience presenting to and influencing senior leadership and executives

Job Responsibility

Explore our rider data and carry out rigorous analysis to support your insights
Design, run, and analyze experiments to test hypothesis about our riders
Build models which could be applied in production to improve the rider experience or Uber’s business performance
Tell a compelling story about your findings to stakeholders and executives

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

Senior, Staff Scientist

The Senior, Staff Scientist serves as the Manager and Lead Formulator for the Am...

Location

United States , Lexington

Salary:

Not provided

Valvoline

Expiration Date

Until further notice

Requirements

Minimum Ph.D. or Doctorate Level research in chemistry, engineering or a related field
3+ years of experience in grease and industrial fluid formulations supporting manufacturing in professional laboratory environments
Experience with development of analytical test methods, and laboratory methods a plus
Experience managing complex projects and working on tight deadlines
Advanced research experience with peer reviewed publications and conference presentations
Past experience in formulation innovation enabling the use of novel chemistries in greases and Industrial fluids
Excellent oral and written communication skills required
Multi-tasker and problem-solver
Attention to detail and desire to complete quality work products
Ability to work well with others and comprehend instruction quickly

Job Responsibility

Manage the Americas Grease & Industrial Fluids team, set priorities, allocate resources, and deliver on the regional NSD programs and Innovation Master Plan
Lead the formulation development and commercialization of high-performance greases and industrial fluids for OEM, Aramco Affiliate, and retail channels
Provide global support to strategic motorsports teams develop technologies to improve vehicle performance and translate promising developments to commercial applications
Represent Valvoline with ASTM, NLGI, STLE, conferences, and approved media engagements to influence standards and elevate the credibility of the Valvoline brand
Continuously improve lab methods, SOPs, and compliance (PPE, chemical hygiene), modeling a zero-incident safety culture
Additional duties as assigned

What we offer

Health insurance plans (medical, dental, vision)
Health Savings Account (with employer base deposit and match)
Flexible spending accounts
Competitive 401(k) with generous employer base deposit and match
Incentive opportunity
Life insurance
Short and long-term disability insurance
Paid vacation and holidays
Employee Assistance Program
Employee discounts

Senior Staff Data Scientist (AI Solutions - Machines)

As a Data Scientist at CyberArk, you’ll join a team shaping the future of identi...

Location

Israel , Petah Tikva

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

2-4 years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks
Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85
Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability
Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving
Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment
Strong communication skills and ability to explain technical concepts to different audiences

Job Responsibility

Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications

Fulltime

Senior Staff Decision Scientist

Senior Staff Decision Scientist (Multiple Positions) - Flexible Finance, Inc. (F...

Location

United States , New York

Salary:

215000.00 - 240000.00 USD / Year

The New York Times

Expiration Date

Until further notice

Requirements

BA or foreign equiv in Stats, Econ, Risk Mgmt, Math, or rel + 6 yrs exp w/ credit risk analytics in job or rel
Must have 6 yrs exp w/: Dvlpng data mining & analytics workflows using Python & SQL
Performing portfolio vintage forecasting, CCAR modeling, roll rate forecasting, & delinquency forecasting

Job Responsibility

Shape dsgn of new credit prods, while dvlpng risk policies & launch strategies to ensure successful mkt entry

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

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

New

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 Geologist / Staff Environmental Scientist

Broadbent & Associates, Inc. of Henderson, Nevada is looking to hire an organize...

Location

United States , Henderson

Salary:

Not provided

Broadbent & Associates

Expiration Date

Until further notice

Requirements

Bachelor's degree in Geology, Hydrogeology, or Environmental Science
Zero to four years of applicable work experience (e.g. consulting, environmental)
Ability to work outdoors during summer months, traverse moderate terrain and lift up to 50 pounds
Technical writing competency and strong computer skills
Strong problem solving and troubleshooting skills
Self-starter, quick learner and effective communication skills
Ability to travel
Ability to work individually and as part of a team

Job Responsibility

Emergency Response
Phase I Environmental Site Assessments
soil and groundwater characterization
air sampling
remediation system operation and maintenance
assist with system startups, shutdowns , and upgrades as needed
troubleshoot and repair equipment
lithologic logging
well construction monitoring
water and wastewater treatment facility monitoring

What we offer

100% medical insurance premium coverage
dental
vision
health savings account (HSA)
generous 401(k) retirement plan with safe harbor contribution and company match
vacation
additional paid-time-off
critical illness and accident plans
life insurance
solid opportunities for advancement

Fulltime

Select Country

Senior Staff Scientist

Job Description

Job Responsibility

Requirements

What we offer

Looking for more opportunities?

Senior Staff Scientist

Senior Staff Scientist, Rider Science

Senior, Staff Scientist

Senior Staff Data Scientist (AI Solutions - Machines)

Senior Staff Decision Scientist

Senior Staff Research Scientist - Clinical AI Lab

Senior or Staff Data Scientist, Recommendations

Senior Staff Machine Learning Scientist, Recommendations

Staff Geologist / Staff Environmental Scientist

Our AI answers in your language