Jobs Posted on the Whova Community Board of The 15th ACM International Conference on Web Search and Data Mining
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Machine Learning Engineer - Search
Ziprecruiter We’re looking for a Machine Learning Engineer to join the Search team at ZipRecruiter.
What you’ll do:
Create models which help drive value for users and our company
Evaluate the technical tradeoffs of every decision
Perform code reviews and ensure exceptional code quality
Build robust, lasting, and scalable products Iterate quickly without compromising quality
Knowledge, Skills & Abilities:
Strong understanding of machine learning approaches and algorithms
Able to prioritize duties and work well on your own
Background working with both internal and external partners
Background in solving open ambiguous problems
Possesses a desire to learn and help others
Senior Data Scientist - Search
Ziprecruiter Our Mission:
To actively connect people to their next great opportunity.
Who We Are:
ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.
Summary of Job:
We use statistical science to understand how to construct an efficient and optimized market, understand causality, and drive our future investment. We use machine learning techniques to solve challenging problems so that we optimally match candidates and jobs. This includes NLP and deep learning along with pragmatic use of simpler machine learning approaches and heuristics.
We're looking for an experienced Senior Data Scientist with a passion for problem-solving to join our team of data scientists and help solve new and existing challenges. Coming up with new analysis and understanding, building models, developing high quality, high-performance code and constantly improving the solution and expanding its scope.
You'll be joining a team of software engineers, data scientists, and ML engineers working on interesting problems in the fields of recommendations, search, and NLP.
Develop production-level code that runs, trains, and maintains ML models.
Master's degree or higher in Computer Science / Mathematics / Statistics or equivalent
5+ years of experience as a Data Scientist
Proficiency in Python
Strong background in machine learning, preferably in NLP related fields
Familiarity with Deep Learning
Experience with Linux environment and AWS Team player with excellent communication skills
Acting and thinking as an owner, building code that will run in production
Post-Doctoral Research Position in Data Integration and Machine Learning
Arizona State University Arizona State University’s Center for Assured and Scalable Data Engineering (CASCADE) invites applications for a post-doctoral researcher in data management, data analytics, and machine learning to begin in 2022. The scholar will work with CASCADE Director Prof. K. Selcuk Candan, Prof. Huan Liu, and a multi-university, multi-disciplinary team within the context of a project in data-driven decision support technologies that will assist partners in scoping, strategizing, and designing sustainability efforts across the Nation.
Development of big data tools and services to enable communities that are resilient, self-sustaining, and livable necessitates (a) system-wide data and model gathering and integration, (b) spatio-temporal and causal analytics, and (c) physical and behavioral modeling and large scale simulations. Work will, therefore, involve research into big data and model integration, causal learning and discovery, large scale data- and model-driven simulations, emulations, and forecasting, and data-driven and model centric operational recommendations.
Applicants must have a Ph.D. in Computer Science and Engineering or a related field with background in Data Integration, Data Analytics, or Machine Learning. Demonstrated excellence on related topics, as well as experience of implementation and experimentation with big data and decision support systems, are required.
Please follow the link to learn more about the position and the application process.
Singapore University of Technology and Design Research Fellow positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design, Singapore. The Research fellows will be involved in the research and development of AI models and algorithms for natural language processing and generation. What we offer: (1) Productive Environment, (2) Interdisciplinary Collaborations, (3) High Research Impact, (4) Diverse and Fun Teams, and (5) Competitive Pay.
Singapore University of Technology and Design Research Assistant positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design, Singapore. The Research assistant will be involved in the research and development of AI models and algorithms for natural language processing and generation. What we offer: (1) Productive Environment, (2) Interdisciplinary Collaborations, (3) High Research Impact, (4) Diverse and Fun Teams, and (5) Competitive Pay.
homedepot.com Data Scientist of All Levels
Home Depot homedepot.com has data scientist openings at all levels. We are interested in talents in recommendation, search, NLP, RL, and other related areas in web search and data mining.
PhD student (fully funded)
University of Connecticut I am seeking proactive, curious prospective PhD students who get things done, to join the Reducing Information Ecosystem Threats (RIET) Lab.
Come work with me on some of the most vexing threats to democratic nations, including disinformation, weaponized controversy, trust erosion on- and offline, and botnets. Use state-of-the-art technologies and help collect petabyte-scale datasets from social networks.
My research focuses on threats to the information ecosystem online and to healthy public discourse from an information retrieval lens, informed by insights from the social sciences. Upcoming projects address the connections between m/disinformation and weaponized controversy, online and in social networks. Additionally, my work addresses fairness and bias in medicine. My lab tackles these research questions from an AI ethics, fairness & safety perspective.
Underrepresented minorities and diverse applicants in computer science (with diversity broadly defined) are particularly invited to apply.
PhD students will be fully funded throughout their studies.
Applied Scientist-Alexa Shopping
Amazon You: Alexa, I am looking for a new career opportunity, where I could do innovative development in AI and impact millions of customers, what do you suggest? Alexa: The Alexa Shopping team is looking for Applied Scientists to help me become the best personal shopping assistant. Do you want to hear more?
You: Yes, please!
The Alexa Shopping team is looking for Applied Scientists to build the next generation of shopping assistants. The ideal candidates have deep expertise in one or several of the following fields: Machine Learning, Natural Language Processing, Conversational AI, Information Retrieval, Artificial Intelligence. An ideal candidate shows a bias for action and has a strong understanding of empirical methods. The ability to write clearly and speak convincingly as evidenced through participation in academic conferences and service in the scientific community are a must.
Key job responsibilities The ideal candidate has deep expertise in one or several of the following fields: Natural Language Processing, Conversational AI, Applied/Theoretical Machine Learning, Information Retrieval, Artificial Intelligence. S/he also shows good intuition with personal assistants’ technologies and customers’ needs. S/he has a strong publication record at top relevant academic venues.
About the team We are part of the Alexa Shopping Science organization, whose mission is to conduct customer-centric research in ML, NLP, and IR and devise state of the art algorithms to help shaping the next generation of conversational shopping assistants.
Amazon Amazon is the 4th most popular site in the US (http://www.alexa.com/topsites/countries/US). Our product search engine is one of the most heavily used services in the world, indexes billions of products, and serves hundreds of millions of customers world-wide. We are working on a new AI-first initiative to re-architect and reinvent the way we do search through the use of extremely large scale next-generation deep learning techniques. Our goal is to make step function improvements in the use of advanced Machine Learning (ML) on very large scale datasets, specifically through the use of aggressive systems engineering and hardware accelerators. This is a rare opportunity to develop cutting edge ML solutions and apply them to a problem of this magnitude. Some exciting questions that we expect to answer over the next few years include: · Can a focus on compilers and custom hardware help us accelerate model training and reduce hardware costs? · Can combining supervised multi-task training with unsupervised training help us to improve model accuracy? · Can we transfer our knowledge of the customer to every language and every locale ? This is a unique opportunity to get in on the ground floor, shape, and build the next-generation of Amazon Search. We are looking for exceptional scientists and ML engineers who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization.
Amazon Our Alexa Product Advisor (part of Alexa Shopping) vision is to provide the best possible answers for a wide range of questions around product being asked by the customer. The first step in providing these answers is to form high quality classification and machine understanding of natural language questions into their core components (shape, product references, attributes, pronouns etc). Alexa Shopping is looking for an experienced Sr Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.
You will work closely with product and technical leaders throughout Alexa Shopping and will be responsible for influencing technical decisions in areas of development/modelling that you identify as critical future product offerings. You will identify both enablers and blockers of adoption for product understanding, and build programs to raise the bar in terms of understanding product questions and predict the shaping of customer utterances as we move from simple to complex utterances.
The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, p
Data Scientist-Alexa Shopping
Amazon The Alexa Shopping (aShop) Customer Activity and Valuation (CAV) team identifies and directs action to close the gap between the value Alexa provides customers today and what Alexa could do to delight customers as their anywhere shopping assistant. We iterate on the standard measures in aShop for the value we bring to customers, create insights from these data, and propose solutions that close the gaps through refinements of existing product, new products, and creating flywheels. Our goal is not the narrow goal of getting customers to use voice for shopping on Amazon; we have a broader goal to be the best shopping assistant for our customers anywhere, anytime, and in every way our customers want to shop. As a shopping assistant, Alexa will work hard on behalf of our customers to help them save money, save time, and shop the way the customer would like to shop.
Here’s where you come in:
What is the role? As a Data Scientist on the CAV research team, your work is focused on developing and spearheading research programs to deeply understand our customers across their lifecycle, from before they may ever consider shopping with Alexa through the time they become loyal customers. You understand that even with millions of customers and transactions across the globe, the experience of each customer matters.
You leverage your rock-solid foundation in statistics, data science, and research methods, as well as your hands-on experience in performance marketing, product analytics, or similar fields to develop and deploy models that enable meaningful customer segmentation at scale. You use your deep expertise in quantitative methods to develop novel approaches to ambiguous problems, such as defining success metrics, identifying root causes, and providing actionable recommendations. You contribute to and review the design, deployment, and continued analysis customer activity across the globe, collaborating with partner teams across Amazon.
Data Scientist-Alexa Shopping
Amazon At Amazon Alexa Shopping, we strive to enable shopping in everyday life. We allow customers to instantly order whatever they need, by simply interacting with their Smart Devices such as Echo or Fire TV. Our Services allow you to shop, no matter where you are or what you are doing, you can go from 'I want that' to 'that's on the way' in a matter of seconds. We are seeking the industry's best to help us create new ways to interact, search and shop. Join us, and you'll be taking part in changing the future of everyday life.
Our team, Alexa Shopping Grocery Analytics, builds data solutions for Amazon teams to make informed decisions on how to create delightful Grocery shopping experience for our customers. Our team team is looking for a Data Scientist who will design and implement data science projects including, but not limited to, experimentation, natural language processing, and classification.
In this role, you will apply advanced analysis technique and statistical concepts to draw insights from massive datasets, create intuitive data visualizations, and build scalable machine learning models. You are a pragmatic generalist. You can contribute to each layers of a data solution – you work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, you team up with data engineers and software development engineers to implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.
Amazon Amazon is looking for creative Applied Scientists to tackle some of the most interesting problems on the leading edge of machine learning (ML), search, natural language processing (NLP), and related areas with our Amazon Books team. At Amazon Books we believe that books are not only needed to work, education and entertainment, but are also required for a healthy society. As such, we aim to create an unmatched book discovery experience for our customers worldwide. We enable customers to discover new books, authors and genres through sophisticated recommendation engines, smart search tools and through social interaction, and we need your help to keep innovating in this space.
If you are looking for an opportunity to solve deep technical problems and build innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you. You will develop and implement novel algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of ML, search, NLP, and deep learning. You will innovate, help move the needle for applied research in these exciting areas and build cutting-edge and scalable technologies that enable delightful experiences for hundreds of millions of people.
Amazon Passionate about books? The Amazon Books personalization team is looking for a talented Applied Scientist to help invent, design, and deliver cutting-edge science solutions to make it easier for millions of customers to find the next book they will love. In this role you will: · Be apart of a growing and vibrant team of scientists, economists engineers, analysts, and business partners. · Use Amazon's large-scale computing and data resources to generate deep understandings of our customers, and products. · Build models to generate recommendations and run them as large scale A/B tests directly on the retail website. · Design, implement, and deliver novel solutions to some of Amazon's oldest problems.
Research Scientist in Responsbile AI - ByteDance AI Lab
ByteDance ByteDance (the parent company of Tiktok) AI Lab is hiring in the area of *Responsible AI* with both internship and full-time positions in US, UK, and China. If you're interested, you can apply here: https://jobs.bytedance.com/en/position/7012762844228651301/detail https://jobs.bytedance.com/en/position/6984021394845927717/detail
Principal, Senior Principal, and Distinguished Engineers
Amazon Amazon’s Principal Engineer Community sets the standard for engineering excellence at Amazon and are responsible for driving Amazon’s overall technical architecture. Principal Engineers at Amazon are pragmatic visionaries. They make a lasting impact that echoes through the technology, the product, and the company. They work on Amazon’s hardest problems, building high quality, architecturally sound systems that are aligned with our business needs. They remain hands-on and lead by example. By being close to the details, they earn the respect needed to be effective technical leaders.
If you are interested in pursuing a senior individual contributor role at Amazon, please contact us at WSDM2022@amazon.com
Sr. Research Scientist-Alexa Shopping
Amazon What is the role? As a Sr. Research Scientist on the CAV research team, your work is focused on developing and leading programmatic research. As a Sr. Research Scientist focusing on durable engagement, you’ll be developing executing research programs to understand how we can create great, durable experiences that our customers love coming back to. You help us understand how to create experiences, shopping journeys, and content that enable our customers to integrate Alexa Shopping into their daily lives routinely. Your expertise in motivation, habit formation, cognitive and behavioral science, or similar positions you as the expert on highly engaged Alexa Shopping customers. You understand that even with millions of customers and transactions across the globe, first impressions matter – and you make it your mission to ensure our first impression is best-in-class.
You leverage your rock-solid foundation in statistics and research methods, especially in the realm of cognitive and behavioral science, motivation, or similar to develop and test behavioral frameworks, experiments, and predictive models. You leverage deep partnerships within the business in addition to your research to recommend organizational strategy. You contribute to and review the design, deployment, and continued analysis of customer activity across the globe, collaborating with partner teams across Amazon in the domains of research, data science, business intelligence, and engineering to maximize the ROI on our effort.
Applied Scientist-Amazon Search
Amazon The Mission Success team consists of entrepreneurial machine learning scientists and engineers who are responsible for developing core ML models and model development pipelines. This role will utilize cutting-edge ML models in the domains of NLP, Graph Neural Networks, RNNs, and Metrics Science.
At Amazon Search, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.
Applied Scientist-Alexa Shopping
Amazon You: Alexa, I am looking for a new career opportunity, where I could conduct applied research, impact millions of customers, and publish about it in top conferences. What do you suggest? Alexa: The Alexa Shopping team is looking for brilliant applied researchers to help me become the best personal shopping assistant. Do you want to hear more? You: Yes, please! Alexa: As an applied researcher in the Alexa Shopping Research team, you will be responsible for research, design, and implementation of new AI technologies for voice assistants. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will inventing, experimenting with, and launching new features, products and systems. Ideally you have a expertise in at least one of the following fields: Web search & data mining, Machine Learning, Natural Language Processing, Computer Vision, Speech Processing or Artificial Intelligence, with both hands-on experience and publications at top relevant academic venues.
Data Scientist-Alexa Shopping Reorder
Amazon Alexa Shopping is looking for an experienced Data Scientist to be a part of a team solving complex natural language processing problems and customer demand insights (including segmentation analysis and personas building using big data, ML and potentially AI). This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build simulations and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers and understand their requirements for products.
The ideal candidate will have extensive experience in Science work, business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities in sourcing processes. Excellent business and communication skills are a must to develop and define key business questions and to build data sets that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results.
Senior Applied Machine Learning Scientist
Microsoft Microsoft's mission is to empower every person and every organization on the planet to achieve more and we believe that artificial intelligence will play a critical role in accomplishing that mission. The Core Search and AI team is the leading applied machine learning team at Microsoft responsible for delivering the highest-quality experience to over 500M+ monthly active users around the world in Microsoft’s search engine, Bing. Beyond Bing other search engines such as Yahoo, DuckDuckGo, and new startups like Neeva depend on us as well.
We have seen little innovation in search in the last decade and we are looking for people who want to build the next generation of search using advanced AI technologies such as deep learning. Our work spans a very large scope of scenarios including delivering high quality search results from a massive document corpus, extractive and abstractive summarization to generate document snippets, personalization, machine reading comprehension, and document recommendations.
As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive. We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together. We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office and Azure.
Some examples of our work include:
Developing a massive sparse neural network to improve search relevance (covered by SiliconAngle, Search Engine Land, Venture Beat) Building the world’s most comprehensive spelling correction system through zero shot learning (covered by NextWeb, Venture Beat, and ZDNet) Using transformer networks for search (covered in Search Engin
Research Engineer-Alexa Shopping
Amazon As a research engineer, you will work with top engineers and researchers, both locally and abroad, to explore and develop new AI technologies helping me in my journey to become the ultimate shopping assistant for millions of customers around the world. You should have strong computer science foundations, excellent development skills, and some experience with research methodology. You also preferably have some applied or research expertise in at least one of the following fields: Web search and mining, Machine Learning, Natural Language Processing, Computer Vision, Speech Processing, or Artificial Intelligence.
Research Scientist & Interns (Ph.D.s, all areas, all levels)
Dataminr Want to have an impact AND publish? Dataminr discovers high-impact events and critical breaking information across industries (Corporate Risk, News, Public Sector) long before it's in the news. Recognized as one of the world’s leading businesses in AI and Machine Learning innovation, Dataminr is pioneering groundbreaking technology for detecting, classifying, and determining the significance of public information in real time, 24/7 for thousands of clients in over 70 countries.
We’re hiring Research Scientists (all levels) to perform research to advance the state of the art and solve some of the most challenging problems in AI at scale (text classification, topic detection & tracking, summarization, knowledge extraction/representation/management, trending topic detection, search, machine learning/deep learning, etc). Strong publication record (ACL, SIGIR, KDD, etc.) a must, as well as enthusiasm to have an impact on product and contribute to the research community. Dataminr has raised $1.1B, is backed by the world’s leading venture and growth technology investors, has over 800 employees, and is headquartered in New York, with offices worldwide. Apply here https://www.dataminr.com/careers under “Artificial Intelligence”
Senior Applied Data Scientist
Outbrain Our team is developing algorithmic and machine learning based solutions that improve outcomes for our advertisers. It is part of Outbrain’s Recommendations Group - about 40 machine learning engineers, data scientists, and backend engineers who are responsible for everything that Outbrain recommends in its feeds and widgets. The team uses an interplay of Java and Python, in addition to Kafka, Spark, Cassandra, Hive, and Tensorflow to form our ML and AutoML pipelines.
Machine Learning Scientist-Amazon Kindle
Amazon Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will work with an immense and diverse corpus of text, image, and audio to build generative and discriminative models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems for helping indie authors with marketing their books. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture.
Senior Big Data Engineer - Search ML Data Platform
Amazon The Amazon Search team builds the search engine that powers Amazon's worldwide shopping experience. Whenever a customer searches or browses using an Amazon website or application, we connect them to the products and services they are looking for.
Search ML Data Platform team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through managed Federated Data Lake infrastructure. This big-data platform provides the ML training data to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. More than 350 teams across Amazon consume our datasets.
Lyft Algorithm or Decision Data Scientist with a focus in Machine Learning, Optimization, Causal Inference and/or Statistics & Analytics
Please apply directly at https://www.lyft.com/careers#openings Feel free to mention Lei Tang@WSDM in your application.
Disclaimer: I will not respond individually in email. Thanks for your understanding!
DATA SCIENTIST, MARKETING & ONLINE (REMOTE)
The Home Depot The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role applies industry-leading analytical methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
ASSOCIATE DATA SCIENTIST, MARKETING & ONLINE (REMOTE)
The Home Depot The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.Major Tasks, Responsibilities & Key Accountabilities:
70% Solution Development – Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results – Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning – Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts
SENIOR DATA SCIENTIST, MARKETING & ONLINE (REMOTE)
The Home Depot The Sr. Data Scientist is responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
Major Tasks, Responsibilities & Key Accountabilities:
35% Solution Development – Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution
PhD Position on Conversational IR
University of Amsterdam I have a four-year fully-funded PhD position in Conversational IR, at the IRLab, University of Amsterdam. The overall objective of this position is to model user information need and initiative-taking in interactive conversational systems and apply such models on information-seeking and task-based dialogue systems for enhanced interaction and evaluation of such systems. Specific directions of interest are modeling domain knowledge transfer in conversational search via multiple modalities and risk assessment of different actions.
The IRLab Amsterdam is part of the Informatics Institute of the University of Amsterdam. Our research focuses on information retrieval: technology to connect people to information. We work on search engines, recommender systems, and conversational assistants. There is a heavy emphasis on data-driven methods, understanding content, analyzing and predicting user behavior, and making sense of context. We enjoy a diverse group of various backgrounds and solid links for several academic and industrial partners.
Contact me for more information.
ML Quant Researcher
Bloomberg What’s the Role? The Enterprise Data Quant Researcher will apply cutting edge machine learning techniques to financial modeling problems by leveraging the large and varied datasets within Bloomberg Enterprise Data.
In this role you will: - Be responsible for conducting statistical analysis, developing machine learning methodologies, model estimation and overseeing part of the research activities - Explore current academia and market best practices in machine learning approaches - Assess quality controls around different approaches as well as suggest new approaches in research - Work cross functionally with Product Managers, Senior Leaders in Enterprise Data, Engineering, and other Quant Research teams
We’d love to see: - Financial industry experience - Natural language processing - Information retrieval
Send me an email with your resume if interested.
ML Quant Researcher Intern 2022
Bloomberg What’s the Role? The Enterprise Data Machine Learning Quant Intern will apply cutting edge machine learning techniques to financial modeling problems by leveraging the large and varied datasets within Bloomberg Enterprise Data.
In this role you will: - Explore current academia and market best practices in machine learning approaches - Develop state of art machine learning models and apply them into real-world business problems
We’d love to see: - Ability to design and execute a research agenda - Experience contributing research communities such as publishing papers in major conferences or journals - Information retrieval
Send me an email with your resume if interested.
Research Engineer, Computational Social Science
Snap Inc. We are looking for a Research Engineer to join our Computational Social Science Research Team! Our team invents new ways to model and understand the world, and learn more about society through the Snapchat community. We further empower teams to make better-informed decisions and build products that leverage complex behavior understanding through long-term and exploratory projects.
Machine Learning Engineer (All Levels)
Snap Inc. Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
Some core features we build and maintain include Snapchat’s Camera, Creative Tools, Maps, Chat, Memories, Stories, Discover, Games, and Minis. Our Infrastructure teams deliver an innovative and cost-efficient platform that ensures Snapchat is the fastest way to communicate with your friends, no matter where you are in the world. We have one of the fastest growing digital ad platforms, and our Monetization teams drive measurable returns for advertisers through novel ad formats like Augmented Reality. As a Snap Engineering team member, you’ll help us build the future of communication.
GNN Research Intern in MSRA
Micrsoft Research Asia (MSRA) We are seeking talents to join us for advanced GNN research, including but not limited to the topics of new GNN architecture, explainability, graph domain adaptation, and GNN applications on new domains. We are targeting high-impact research works and publish those works in top-tier conferences and journals. Please refer to the job link for a more detailed job description.
DNN & GNN Research Intern/ FTE Researcher
Micrsoft Research Asia (MSRA) We are seeking talents to join us for the generic algorithms and theories of DNN and GNN regarding the principles of model learnability, generalizability, explainability, etc.; the methods for model initialization, regularization, optimization, etc.; the design of new architectures, new components, new learning paradigm, etc.; and the connections between these foundations and various downstream applications. We are targeting high-impact research works and publish those works in top-tier conferences and journals. Please refer to the job link for a more detailed job description. FTE Job Description Link: https://careers.microsoft.com/professionals/us/en/job/1031168/Researcher-DKI-area DNN Research Intern Job Description Link: https://www.msra.cn/zh-cn/jobs/interns/dnn-foundation-research-intern?language=chinese GNN Research Intern Job Description Link: https://www.msra.cn/zh-cn/jobs/interns/graph-neural-network-research-intern?language=chinese
Northeastern university The Khoury College of Computer Sciences at Northeastern University is looking for amazing teacher-scholars to join our Teaching Faculty. Our computer science faculty come from all different backgrounds, especially the tech industry, and we’d love to hear from aspiring as well as experienced teachers!
Khoury College is a fun, supportive place to work, with great colleagues and a track record of incredible support for teaching faculty, including… * a long-term career path with the potential for multi-year rolling contracts; * opportunities for national and international on-ground and online teaching at numerous campuses (I myself spent a semester teaching in London last year!); * potential for scholarship on the teaching track, including research, participation/leadership in diversity initiatives, and service to the local community; and * progressive policies for workload, benefits, and involvement within the College.
And let’s not forget the incredible students we get to work with… * thoughtful and energetic undergraduate, MS, and PhD students; * the *awesome* students in our Align program, an MSCS for students with diverse backgrounds; programs to expand computing education in the community; * and a premiere co-op program where students get paid, on-the-job experience and then invigorate your classroom with curiosity and insight.
Commitment to Diversity: Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect
All qualified applicants are encouraged to apply and will receive consideration for employment. Northeastern does not discriminate against any applicant or employee because of race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Lehigh University The P.C. Rossin College of Engineering and Applied Sciences at Lehigh University seeks to fill an open-rank, non-tenure track instructional position in Data Science to start in Summer or Fall 2022. Rank at hire (e.g., Teaching Assistant Professor, Teaching Associate Professor, Teaching Professor, or Professor of Practice) is dependent upon experience. The candidate will join a growing interdisciplinary group of faculty members at Lehigh University with teaching and research interests in Artificial Intelligence, Computer Vision, Data Mining, Machine Learning, Signal Processing and Optimization, among others.
See full job description at link.
Research Scientist Intern
Etsy Inc We are looking for Research Scientist Interns to join our Recommendations and Personalization organization. We are committed to advancing the fields around E-commerce by innovating technologies to help understand our customers and the world. We are seeking individuals passionate in areas such as Recommender Systems, Information Retrieval and Ranking, Deep Learning and Computer Vision, Natural Language Processing, Reinforcement Learning, Large-scale Graph Networks and Computational Advertising.
As the Research Scientist Intern, be responsible for making core algorithmic advances and applying these ideas in the dynamic world of E-commerce! At the end of the summer, strive to publish your innovations at premier conferences such as KDD, NeurIPS, ICML, ICLR, CVPR, ICCV, WWW, WSDM & SIGIR! Do you find happiness in rapidly prototyping ideas and solving complex problems by adapting creative approaches that affect the experience of millions of users over the world? If so, this could be a great fit.
This is an internship position reporting to the Director of Data Science and Machine Learning. This person can be located in SF, NY or remote based in the United States.
In this role you will : Contribute to research that can be applied to product development. Develop proof of concepts and tackle problems through creative approaches. Identify baselines, datasets, experiments and metrics for your project. Work closely and collaboratively with Applied Scientists and engineers. Prepare technical reports and presentations. Engage with the academic community by presenting your work and speaking at conferences and events
Senior Research Scientist
Netflix Research Scientist, Search and Recommendations
We are looking for an exceptional applied research scientist to help us develop the technology that would power the search and recommendations experiences. Innovation on those experiences requires a great blend of creative thinking and applied research at the intersection of Machine Learning, Information Retrieval, Knowledge Graphs and NLP, as well as Human-Computer Interactions.
What we are looking for:
5+ years of research experience with a track record of delivering quality results.
Expertise in machine learning spanning supervised and unsupervised learning methods.
Experience in successfully applying machine learning to real-world problems.
Strong mathematical skills with knowledge of statistical methods.
Strong software development experience in languages such as Scala, Java, Python, C++ or C#.
Great interpersonal skills.
Strong communication skills - written and verbal.
PhD or MS in Computer Science, Statistics, or related field.
Preferred, but not required, additional areas of experience:
Experience as a technical leader.
Experience working with cross functional teams.
Experience in Search, Recommendations, Natural Language Processing, Knowledge Graphs, Conversational Agents, and Personalization.
Experience with Spark, TensorFlow, Keras, and PyTorch.
Experience with cloud computing platforms and large web-scale distributed systems.
Experience in applied research in industrial settings.
Open source contributions.
Research publications at peer reviewed journals and conferences on relevant topics.
Challenges in Search on Streaming Services: Netflix Case Study
Recommendations and Results Organization in Netflix Search
Netflix Research site