About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds this mission and pushes Pinterest forward. You'll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Our new progressive work model is called PinFlex, a term that's uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. Job Duties: Develop best practices for instrumentation and experimentation and communicate those to product engineering teams. Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners. Build and prototype analysis pipelines iteratively to provide insights at scale while developing comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development. Work cross-functionally to build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest. Telecommuting is an option. Minimum Requirements: Master's degree (or its foreign degree equivalent) in Data Science, Statistics, Engineering (any field), or closely related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field, OR Bachelor's degree (or its foreign degree equivalent) in Data Science, Statistics, Engineering (any field) or closely related quantitative discipline and five (5) years of progressively responsible experience in the job offered or in any occupation in related field. Special Skill Requirements: (1) Python, (2) R, (3) SQL; (4) Machine Learning; (5) Statistics; (7) Large data sets; (6) A/B Testing; and (8) Causal inference. Any suitable combination of education, training and/or experience is acceptable. Telecommuting is an option. Salary: $230,000.00 - $254,024.00 per annum and standard company benefits. Reference : 24-148146 This position is not available for relocation assistance. At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $230,000-$254,024 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Know Your Rights and Pinterest Policy for more information regarding U.S. roles. If you require a medical or religious accommodation during the job application process, please complete this form for support.

At Sage Bionetworks, we believe in the power of open science and interdisciplinary collaboration to create a new vision of human health. We strive for actionable biomedical insights through the responsible sharing and reuse of data, all guided by our deep scientific expertise and diligent governance controls. We're a dynamic, adaptable team, and at Sage, we highly value individuals who can flexibly navigate various roles and functions. Diversity in experiences, backgrounds, and identities is essential for our rich culture of learning and collaboration. Our partnerships, both within Sage and with external communities, are founded on principles of trust, transparency, and a commitment to growth. Together, we are leaving a lasting imprint on the fields of science and medicine. We are looking for a Data Scientist to support and drive computational research to study cancer and other diseases using publicly available datasets. You will use your understanding of large scale data modalities and investigate computational approaches to integrate multiple modalities and sources of data to answer disease-relevant questions. Initial focus will include: 1) applying computational, statistical, and systems biology approaches to high dimensional data from human and model systems, and 2) applying methods to harmonize various data modalities from multiple sources. Ideal candidates will have a computational biology background and have a desire to gain experience in open science, FAIR data, and data-driven research in cancer or other disease domains. Ideal candidates will also possess interest in exploring ways to improve dissemination and reuse of data that is shared through Sage-powered data portals like Cancer Complexity Knowledge Portal and others. The work is inherently collaborative; the position will work closely with scientists and engineers inside Sage and with external academic collaborators. Enthusiasm for the application of computational biology and technology to enable open, collaborative, and reproducible biomedical research is essential. Job Summary: As a Data Scientist, you will use your moderate skill set and proficiency in data science to conduct work assignments of increasing complexity. You will be involved in data collection, analysis, and modeling under moderate supervision, with some latitude for independent judgment. This role is suitable for someone with experience in developing statistical and machine learning models. The role will be involved in: Performing research from inception to publication in the context of cancers and other diseases using data from humans and model systems. Applying algorithms for interrogating and interpreting complex biomedical data. Exploring and implementing methods for harmonizing various data modalities and data from multiple sources Writing technical documentation for a scientific audience, authoring scientific papers for peer reviewed journals, and presenting work at scientific conferences. Generating interactive visualization for disseminating insights from data analysis or data exploration. Implementing a product management mindset to improve the functionality and adoption of Sage-powered data portals Key Responsibilities: Data Solutions: Develop innovative solutions using exploratory data analysis on complex, high-dimensional datasets. Data Collection: Gather large sets of structured and unstructured data from various sources. Analysis and Modeling: Utilize statistics, machine learning, programming, and data modeling to identify patterns and pose scientific questions. Predictive Models: Design, develop, and evaluate predictive models and algorithms. Hypothesis Testing: Generate and test hypotheses, analyzing and interpreting results. Data Visualization: Create data visualizations, dashboards, and reports to communicate findings. Coordination and Management: Work with bioinformaticians and software developers to manage data sharing. Standardization: Develop standards and protocols for data management. Collaboration: Respond to support requests, generate reports, and provide training. Communication: Communicate research findings through websites, dashboards, and visualizations. We'd Love to Hear from You If You: Are passionate about open science and collaboration, enjoy working with data, and supporting scientific research. Ph.D. in a quantitative discipline or a related scientific field, or a Master's degree with 4 years of experience in the field. 4-6 years of professional experience in a relevant field. Demonstrated ability to apply complex analytical techniques and contribute to significant projects or research initiatives. Are proficient in data extraction, cleaning, and analysis using tools like R or Python. Recognize the importance of applying critical thinking and thoughtful practices in your role and business approach, striving to ensure inclusivity, accessibility, and relevance for everyone, crafting solutions that cater to a diverse range of needs. Preferred Skills: Experience with R and/or Python programming, particularly with data visualization libraries. Experience managing data within distributed environments and SQL-like databases. Experience with genomic data and collaborative development/version control systems (e.g., git). Familiarity with clinical data stored on Redcap systems, or imaging data is a plus. Have knowledge in digital signal processing and time-series data analysis. Have experience with statistical techniques and machine learning methods, such as regression, survival analysis, dimensionality reduction, random forest, SVMs, etc. Familiarity with tensors, transfer learning, or foundation models is a plus. Job Functions and Physical Requirements The following cognitive and physical activities outline the essential functions required for successful job performance. Reasonable accommodations may be provided to enable individuals with disabilities to fulfill these functions. Physical Demands Extended periods of sitting at a desk and using a computer. Repeated wrist, hand, and finger movements. Requires clear vision for tasks like data analysis, transcribing, computer use, and reading. Occasionally lifting or moving objects weighing up to 10 pounds. Cognitive Demands Able to work effectively under deadlines. Strong problem-solving and analytical skills. Attention to detail and accuracy. Flexibility to adapt to changing environments, priorities and multitask. Additional Requirements Travel is required a minimum of two times per year for on-site events in Seattle, WA. Effective verbal and written communication skills. Works well in a team and maintains professionalism. Follows company policies, procedures, and relevant laws and regulations. Note: This list is not exhaustive and may be subject to modification as job duties evolve. About Us Sage Bionetworks is a nonprofit biomedical research organization that was founded in Seattle in 2009. We focus on advancing human health through open science practices and radical collaboration, with a view to breaking down existing silos in science and technology. Through our work, we guide responsible data sharing and reuse, benchmark scientific methods and results, and empower participants to be active partners in research. We are a bold team of scientists, engineers, product developers, governance specialists and business experts, working to bring data and communities together in unique ways that accelerate medical progress. As a growing organization, Sage is supported through a dynamic portfolio of competitive research grants, commercial partnerships, and philanthropic contributions. Sage Bionetworks is pleased to offer a comprehensive benefit package, competitive to both commercial and not-for-profit life science organizations. The plan includes: health, dental, vision, life, AD&D and long term disability benefits; paid time off; a retirement plan; flexible spending accounts; a shared incentives plan, voluntary long term care insurance, and other voluntary products. Additional information can found here: Benefits - Sage Bionetworks At Sage Bionetworks, we implement equitable workplace strategies to guarantee fair compensation. Actual compensation is determined based on current market data, experience, and internal pay parity. This position is classified as a Sage Professional level, with a salary range of $81,000 to $108,265. New hires typically receive an offer between the minimum and midpoint of the range, although higher offers may be considered based on experience and market conditions. We have a distributed workforce and support remote and/or on-site hybrid work arrangements within the United States. All interviews will be conducted virtually unless otherwise communicated. At Sage Bionetworks, we uphold equal employment opportunities for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, or veteran status. We strictly prohibit discrimination and harassment based on these protected categories, in compliance with federal and state equal employment opportunity laws.

AIML - Sr. Data Scientist, Smart Home Devices Seattle,Washington,United States Machine Learning and AI Would you like to shape the future of Apple’s Smart Home product experiences? Want to contribute to transforming how human beings interact with technology across hundreds of millions of customers and billions of interactions? The Data Science team within Smart Home Devices is a part of the ML innovation organization with roots in computer vision, machine learning, and natural language processing. This role involves using a broad array of quantitative methods to find insights from user behavior, and designing approaches to evaluate unstructured data. This includes, but is not limited to; crafting creative techniques to analyze audio & video datasets, design metrics to understand user behavior & evaluate performance of machine learning models. We value team members who can quickly prototype & iterate on designs to high-quality implementations. Description As a Sr Data Scientist for Smart Home Devices, you will use statistical analysis of unstructured & structured data to deepen our understanding of how people use devices in the home environment including; iPhone, HomePod, Mac, and new products yet-to-be-released, and across use cases from music to home automation and general knowledge discovery. You will be responsible to:  Develop instrumentation & measurement framework that guide iterative product improvement for ML-based user experiences.  Employ a diverse toolkit of analytical approaches, methodologies, frameworks, and technical strategies to uncover opportunities to improve user experience of ML based products. This includes insights on the performance of the underlying machine learning models that power feature experiences.  Develop tools with scalable analytical and engineering approaches that drive a privacy-first strategy for analytical insight.  Investigate product usage to identify weaknesses and opportunities to make the product better.  Work cross-functionally with Engineering, Machine Learning and Product partners across the AIML ecosystem to ship ML-based features. Minimum Qualifications Proficiency analyzing unstructured data, specifically video & audio signals, for object detection, pattern recognition, feature extraction and segmentation. Expertise in designing metrics, and conducting metric change analysis to measure impacts to user experiences. Ability to analyze large & complex datasets using SQL and Python. Self-motivated and curious with creative and critical thinking capabilities and drive to figure out and improve how things work. High tolerance for ambiguity. You find a way through. You anticipate. You connect and synthesize. Strong verbal and written communications skills with demonstrated experience in authoring & presenting analytical insights via papers & presentations. Experience in cultivating partner relationships and influencing decisions with data. Master’s Degree in a technical or quantitative field such as; Statistics, Mathematics, Computer Science, Engineering, Economics or Physics. Key Qualifications Preferred Qualifications Familiarity with deep learning frameworks like PyTorch Experience with shipping ML features and products Education & Experience Additional Requirements Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

AIML - Sr Data Scientist, AIML Data Seattle,Washington,United States Machine Learning and AI Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? The vision for the AIML Data organization is to improve products by using data as the voice of our customers. Within this organization the mission of the Search Analytics team is to inform product evolution through measurement, evaluation, and analysis of the user experience. You will partner with Search engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages. Description Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Search. Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development. Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations. You should be passionate about building outstanding products. This position involves a wide variety of skills and innovation. Minimum Qualifications Key Qualifications Proficiency in data science, machine learning, and analytics, including statistical data analysis, A/B testing, prompt engineering and fine-tune foundational models for specific tasks. Experience crafting, conducting, analyzing, and interpreting experiments and investigations. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep. Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners. Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala). 5 years of relevant work experience. Preferred Qualifications Education & Experience Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field. Additional Requirements Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) Apple Footer Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area. Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

Data Scientist Jobs in Times Square, WA

Sr Data Scientist
December 10, 2024

Data Scientist
December 10, 2024

Aiml Sr Data Scientist Smart Home Devices
December 10, 2024

Data Scientist
December 9, 2024

Aiml Sr Data Scientist Aiml Data
December 9, 2024

Sr Data Scientist
December 8, 2024

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Data Scientist Jobs in Times Square, WA

Sr Data ScientistDecember 10, 2024

Data ScientistDecember 10, 2024

Aiml Sr Data Scientist Smart Home DevicesDecember 10, 2024

Data ScientistDecember 9, 2024

Aiml Sr Data Scientist Aiml DataDecember 9, 2024

Sr Data ScientistDecember 8, 2024