Materials Scientist jobs
Airbnb Staff Data Scientist Marketplace United States
Share
The Community You Will Join:
You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.
The Difference You Will Make:
As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:
- Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
- Delivering data and insights to enable the company’s supply growth efforts
- Providing mentorship to other data scientists and exemplifying a high bar for technical excellence
A Typical Day:
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.
Your Expertise:
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Airbnb Senior Data Scientist Marketplace United States
Share
The Community You Will Join:
You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.
The Difference You Will Make:
As a Senior Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:
- Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
- Delivering data and insights to enable the company’s supply growth efforts
A Typical Day:
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.
Your Expertise:
- 5+ years of relevant industry experience, or 2+ years with a PhD
- Background in economics, statistics, and experimentation. A PhD or Master’s in economics or a related field is valued
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Airbnb Staff Data Scientist Platform Inference/Payments United States
Share
A Typical Day:
- Inference: Develop and apply causal inference methods, including experimental, econometric regressions, and quasi-experimental methods to measure a wide-range of platform/product impacts.
- AI/ML: Build methods for robust evaluation of ML/AI model efficiency and performance. Ability to identify use-cases for and develop predictive models to classify, segment, and interpret our users’ behavior.
- Optimization: Develop methodologies to explore/simulate the impact of new interventions and develop data products to optimize product/operational strategies.
- Communication: Deliver robust research reports and effective data visualizations. Collaborate with and present to stakeholders to identify opportunities and communicate findings, and drive impact.
- Empowerment: Think strategically about opportunities to improve and scale our brand measurement and customer insights.
Required qualifications
- 9+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (math / economics / statistics, and etc.), or 6+ years of experience with a PhD degree.
- Strong knowledge of causal inference, experimentation, and statistical modeling.
- Skilled in statistical programming (Python or R) and database usage (SQL)
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
- Ability to translate complex findings and results into compelling narratives that drive impact
- Excellent project management, communication, and teamwork skills
- Payments/Risk Domain expertise is a strong plus
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
Nvidia Research Scientist Efficient Deep Learning - New College Gra... United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted 3 Days Ago
- job requisition id
What you'll be doing:
Research, design and implement novel methods for efficient deep learning.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.
Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.
Background in pruning, quantization, NAS, efficient backbones, and so on, is a plus.
Experience with large language models and large vision-language models is required.
Excellent programming skills in Python and PyTorch; C++ and parallel programming (e.g., CUDA) is a plus.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Outstanding research track record.
Excellent communications skills.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Senior Research Scientist Fundamental LLM United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
alignment, principledapproaches to synthetic data generation and filtering, advanced reasoning and inference algorithms for LLMs, novel learning paradigms and LLM architectures, and scientific understanding about the fundamental limitsand capabilitiesof LLMs. You will work within an amazing and collaborative research team that consistently publishes at the top venues in machine learning andnatural language
What you'll be doing:
Explorealternative avenuesto unlock new capabilities in language models, including advanced knowledge acquisition techniques and innovative learning and decoding algorithms.
Innovate newlearning paradigmsthat incorporate agency into the training of language models, such as enabling self-reflection and targeted knowledge enhancement.
Enable learningfrom multi-modalitiesbeyond written text, such as acquiring physical commonsense knowledge through interactions with real-world environments.
Publish original research.
Collaborate with other team members and teams.
Mentor interns.
Speak at conferences and events.
Work with product groups to transfer technology.
Collaborate with external researchers.
What we need to see:
PhD in Computer Science or Computer Engineering (or equivalent experience).
At least 6 years of research experience (demonstrated by publication records spanning across 5+ years) in artificial intelligence, machine learning, natural language processing, computer vision or related subjects
A history ofresearch successexemplified by a strong publication record and awards.
Excellent knowledge of theory and practice of deep learning and natural language processing.
Background in LLM training, alignment, and evaluation is expected.
Excellent programming skills in Python and PyTorch.
Hands-on experience with large-scale model training including data preparation and model parallelization (tensor and pipeline) is required.
Excellent communications skills.
You will also be eligible for equity and .
These jobs might be a good fit
Nvidia Research Scientist Programming Systems - New College Grad United States, California
Share
- US, CA, Santa Clara
- time type
- Full time
- posted on
- Posted Yesterday
- job requisition id
What you’ll be doing:
Develop innovative parallel computing technologies that equip programmers with the compilers, languages, runtime systems, tools, and algorithms needed to solve challenges with modern accelerated systems.
Collaborate with other researchers and engineers to extend the state of the art in parallel computing, machine learning, data analytics, and other technology areas surrounding NVIDIA's business. Deliver your innovations in high-quality software systems, publications, and patents.
Engage with the research community through collaborations, publications, and presentations that produce new technologies and promote education in accelerated computing.
What we need to see:
Completing or recently completed a Doctoral degree (Ph.D.) or equivalent experience in a computational field such as computer science, computer engineering, or scientific computing.
Creativity in developing innovative solutions to the problems faced by parallel programmers and the skill to implement them in software.
Expertise in parallel programming and algorithmic techniques.
Strong programming ability in one or more of the following languages: C, C++, Rust and Python.
Track record of research excellence and publications that demonstrate your body of work.
Relevant research and software development experience.
Ways to stand out from the crowd:
Expertise in applying programming system insights and techniques to problems in machine learning, data science, and distributed computing.
Ability to implement ideas in the CUDA programming model.
Experience with applying AI, such as large language models, to create new ways of solving the problems of software engineering.
Prior success in building software systems used by other developers to solve their own problems.
You will also be eligible for equity and .
These jobs might be a good fit
Boston Scientific Global Medical Information Scientist United States, Minnesota
Share
In this role, you will sell and promotewithin a defined geographic territory. You will be responsible for developing new accounts and expanding usage within current accounts to achieve revenue and unit growth objectives in alignment with monthly, quarterly, and annual sales goals.
Your responsibilities will include:
- Develop and implement sales strategies by determining the relevant factors (e.g., product, competition, and pricing needs) of existing and potential accounts to effectively promote the company's products to appropriate hospital personnel and physicians.
- Develop action plans (i.e., weekly, quarterly, monthly) by analyzing quarterly and monthly sales figures and reports identifying the needs of particular accounts and discussing issues with Regional Sales Manager to help the organization achieve its annual sales goal.
- Determine the needs (e.g., product and pricing), goals, product usage, and types of cases handled by specific customers by meeting with and asking in-depth questions of physicians and other hospital personnel.
- Establish pricing packages to establish price points that address specific customer's needs while satisfying company guidelines and policies.
- Respond to customer needs and complaints regarding products and service by developing creative and feasible solutions or working with other related personnel (e.g. clinical research, pricing and/or marketing) to develop optimal solutions.
- Develop relationships with hospital personnel (e.g. through casual conversation, meetings, participation in conferences) to make new contacts in other departments within hospital and to identify key purchasing decision makers in order to facilitate future sales.
- Educate customers on the merits and proper clinical usage of company products by giving presentations and demonstrations using a wide variety of formats and platforms (e.g., slides, transparencies, manuals) to secure purchasing commitments, often with the help of incentive programs and services made available to the account being developed.
Required qualifications:
- Minimum of a bachelor’s degree OR equivalent field clinical/sales experience.
- Minimum of 2 years medical device, pharmaceutical, or related sales experience.
Preferred qualifications:
- Experience selling cardiac monitoring equipment or cardiac related devices.
- Direct selling experience to physicians and hospitals.
- History and relationships with key players in the cardiac monitoring industry.
- Must have a technical aptitude; be able to discuss, explain software algorithms.
- Strong interpersonal skills, requires good communication skills, both verbal and written, and able to communicate effectively with diverse groups of people (physicians, office staff, etc.).
The anticipated annualized base amount for this full time position will be$, plus variable compensation governed by the Sales Incentive Compensation Plan (which includes certain annual non-discretionary incentives based on predetermined objectives) as well as the value of core and optional benefits offered at BSC, which can be reviewed at www.bscbenefitsconnect.com. Actual compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, and other relevant business or organizational needs.
For MA positions:It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance testing requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a drug test as a pre-employment requirement. The goal of the drug testing is to increase workplace safety in compliance with the applicable law.
These jobs might be a good fit
The Community You Will Join:
You will join a team dedicated to driving innovation and optimizing our dynamic Marketplace. As a member of the Marketplace Data Science team, you will tackle challenges at the core of our business, including pricing, supply management, and fee strategies. Collaborating with leaders across the company, you will play a key role in shaping the future of our marketplace.
The Difference You Will Make:
As a Staff Data Scientist, you will be responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. Your work will include:
- Specifying and estimating models to determine the impact of supply and demand on marketplace outcomes
- Delivering data and insights to enable the company’s supply growth efforts
- Providing mentorship to other data scientists and exemplifying a high bar for technical excellence
A Typical Day:
- Crafting models: You will develop models to accurately forecast key marketplace metrics, enabling proactive decision-making and strategic planning.
- Advanced causal inference: Utilizing cutting-edge causal inference techniques, you will quantify the impact of changes in supply and demand on the marketplace, informing targeted improvements and interventions.
- Cross-functional collaboration: You will actively collaborate with teams across product, engineering, and operations to integrate data science insights into initiatives aimed at enhancing supply acquisition, retention, and success.
- Stakeholder engagement: You will engage with stakeholders to understand their business objectives and provide data-driven solutions tailored to these goals.
Your Expertise:
- 9+ years of relevant industry experience and a Master’s degree or PhD in a quantitative field
- Strong fluency in Python or R for hands-on IC work and SQL for advanced data analysis at scale
- Experience with causal inference and machine learning techniques, ideally in a multi-sided platform setting
- Proven ability to succeed in collaborative environments with cross-functional stakeholders and also in independent work environments
- Proven ability to communicate clearly and effectively to audiences of varying technical levels
How We'll Take Care of You:
Offices: United States
These jobs might be a good fit
