field_remote_option

field_job_occupational_field_parents_all

job_organization_name

job_upgrade_is_featured

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. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. 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 <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. As a Data Scientist you will shape the future of people-facing and business-facing products we build at Pinterest. Your expertise in quantitative modeling, experimentation and algorithms will be utilized to solve some of the most complex engineering challenges at the company. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Design, Research, Product Analytics, Data Engineering and others. The results of your work will influence and uplevel our product development teams while introducing greater scientific rigor into the real world products serving hundreds of millions of pinners, creators, advertisers and merchants around the world. What you’ll do <ul> <li>Develop best practices for instrumentation and experimentation and communicate those to product engineering teams to help us fulfill our mission - to bring everyone the inspiration to create a life they love</li> <li>Bring scientific rigor and statistical methods to the challenges of product creation, development and improvement with an appreciation for the behaviors of our Pinners</li> <li>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</li> <li>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</li> </ul> What we’re looking for <ul> <li>4+ years of experience analyzing data in a fast-paced, data-driven environment with proven ability to apply scientific methods to solve real-world problems on web-scale data</li> <li>Extensive experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields</li> <li>Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn</li> <li>A scientifically rigorous approach to analysis and data, and a well-tuned sense of skepticism, attention to detail and commitment to high-quality, results-oriented output</li> <li>Ability to manipulate large data sets with high dimensionality and complexity; fluency in SQL (or other database languages) and a scripting language (Python or R)</li> <li>Excellent communication skills and ability to explain learnings to both technical and non-technical partners</li> <li>A team player who’s able to partner with cross-functional leadership to quickly turn insights into actions</li> </ul> This position is not eligible for relocation assistance. #LI-REMOTE #LI-NM4 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 <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $101,382—$209,296 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. If you require an accommodation during the job application process, please notify <a href="#">accessibility@pinterest.com</a> for support.

Pinterest

Data Scientist

Space is in our DNA. Orbital Sidekick (OSK) has a mission to leverage the untapped power of hyperspectral imagery (HSI) to address global environmental, health, and safety needs while helping companies reach their sustainability goals. Orbital Sidekick is establishing a space-based infrastructure of HSI sensors and analytic capabilities to enable real-time monitoring, detection, and risk management. We’re looking for a Remote Sensing AI Researcher who will build out and design machine learning infrastructure for ateam of data &amp; remote sensing scientists, working collaboratively with the Analytics, and Software teams to deliver data-driven products and solutions. If you are a smart-creative individual seeking to innovate and produce real, tangible value; take ownership of your role and position within a cutting edge tech company; and inform the future vision of an up-and-coming San Francisco start-up, you’ll fit right in. You will contribute to a cross-functional team that is responsible for the full algorithm development process, all the way from human annotation to integration with the platform. Your role as Remote Sensing AI Researcher means that you will be responsible for developing new research that can lead to new products and publications. You will work collaboratively within the company to produce high-level engineering of both the data collection and information delivery platforms.<h3>As a Remote Sensing AI Researcher your responsibilities will include:</h3> <ul> <li>Conducting novel research applying AI/ML to OSK’s satellite hyperspectral imagery.</li> <li>Helping transition research to production, deploying models for both batch and online inference as well as embedded on the satellites.</li> <li>Produce analytical infrastructure for AI/ML pipeline development.</li> <li>Inform colleagues and mentor Individual Contributors about AI/ML opportunities, and tasks.</li> <li>Publish your research in geospatial and/or AI conferences, write blog posts to show off your work.</li> </ul><h3>Basic qualifications:</h3> <ul> <li>3+ years experience in ML/AIMS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar.</li> <li>Python, Pytorch, ML Flow/ClearML, DVC, Ray, Dask, Python data science stack</li> <li>Comfortable training models in a cloud (AWS) environment as well as using best practices to track ML experiments.</li> <li>Ability to work independently as well as collaboratively in a startup environment</li> <li>Excellent written and oral communication skills. </li> <li>Familiarity with common remote sensing data types and tools, GeoTiffs, GDAL rasterio, xarray.</li> </ul><h3>Preferred Skills and Experience:</h3> <ul><li>Relevant publications applying AI/ML to remote sensing data at top conferences.</li></ul><h3>Benefits of Working at OSK:</h3> <ul> <li>We offer competitive compensation and equity packages.</li> <li>Company-sponsored 401K, as well as medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents.</li> </ul>ITAR Requirements: U.S. Government space technologies export/ITAR regulations apply here, applicant must be a U.S. citizen or a lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State. Orbital Sidekick is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. We are an equal opportunity employer committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, age, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Orbital Sidekick

Remote Sensing AI Researcher

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Most importantly, we seek people who are excited about crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> As an Applied Scientist sitting within our Data Science organization, you will be responsible for building cutting edge models to navigate critical tradeoffs to drive business value. This is a generic job posting for roles that will stretch across a number of different areas in Growth, Customer Experience, and our Eng Infrastructure teams. What You’ll Be Doing (ie. Job Duties) <ul> <li>Provide technical mentorship to teams across our Data Science organization.</li> <li>Build models to quantify the impact of negative experiences on the Coinbase platform. </li> <li>Develop novel experimentation techniques to optimize incentive spend (e.g. multi armed bandits).</li> <li>Create sophisticated sequential features based on user behavior to proactively identify customer issues or counteract malicious activities on the platform.</li> </ul> What We Look For In You (i.e., Job Requirements): <ul> <li>PhD preferred, or a Master’s degree in a quantitative field such as Math, CS, or Statistics with 6+ years of relevant experience.</li> <li>Ability to design and execute complex data and modeling solutions that span multiple teams.</li> <li>Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management.</li> <li>Advanced knowledge of the strengths and pitfalls of various causal inference techniques.</li> <li>A track record in raising and maintaining a high technical bar in a world-class data science organization.</li> <li>Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.</li> </ul> Nice To Haves <ul> <li>Experience working with Growth or Customer Experience teams.</li> <li>Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.</li> </ul> ID: G2462 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $201,450—$237,000 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

73 Data Science Jobs in United States