Author

Karthik Gopalakrishnan


US, NJ, Newark
Job summaryGood storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.ABOUT THIS ROLEAudible is searching for an exceptional data scientist to join our economics team and drive the development of models at the intersection of machine learning and econometrics at scale. The Audible economics organization works across the business to measure and maximize the value Audible delivers to customers, creators, and communities globally. In this role, there will be a focus on partnering with our content and product teams to build a groundbreaking catalog of audiobooks and spoken-word entertainment, develop innovative tools to generate value for creators, and optimize content distribution and monetization.We are looking for someone experienced in building ML models at scale for complex prediction and optimization problems, who also has a background (or burgeoning interest!) in causal inference or interpretable machine learning. In addition to working with our staff economists and data scientists, you will also collaborate closely with scientists across Audible and partner teams at Amazon on problems pertinent to subscription businesses and the production of original media content.As a Data Scientist, you will...· Work with leadership in our content and product organizations to identify key analytical problems and opportunities – your work is expected to be a key input to our future content strategy.· Develop and maintain scalable, innovative data science and machine learning models that deliver actionable insights and results.· Collaborate with other data scientists, economists, and analysts at Audible to build data-driven solutions to key business problems.
US, NJ, Newark
Job summaryGood storytelling starts with great listening. At Audible, that means each role and every project has our audience in mind. Because the same people who design, develop, and deploy our products also happen to use them. To us, that speaks volumes.ABOUT THIS ROLEAudible seeks a Data Scientist who will help our marketing team improve paid marketing efficiency and performance. In this role, you will make the best of your skillset in modeling and general analytics. Modelling: use your knowledge of (un-) supervised learning, reinforcement learning, and simulation to explain, quantify, predict and prescribe. Analytics: use your knowledge of marketing and paid media to translate business and financial goals into insights and influence action. Overall: you will seek to create value for both stakeholders and customers and will convey results in a clear, actionable way to managers and senior leaders.As a Data Scientist, you will...· Will build analytical products end-to-end (decks, dashboards, data science models, simulations) at scale and at speed, from ideation and data extraction to presenting results to stakeholders (from manager to VP level).· Support development of models to optimize the Who, When, Where and How of all our conversations with customers and specifically to measure and optimize paid media.· Develop, maintain, and iterate on Amazon-scale data engineering and modelling pipelines.· Imagine and invent before the business asks, and create groundbreaking applications using cutting-edge approaches.· Contribute to the growth of the Audible Global Insights and Data Science team by sharing your ideas, intellectual property and learning from others.· Work closely with Audible stakeholders to drive the business forward, and deliver impactful models and analyses based on robust economic, financial, and statistical analysis.
US, MA, North Reading
Job summaryAre you an MS or PhD student interested in Robotics, Manipulation, Computer Vision, or Machine Learning? Do you enjoy diving deep into hard technical problems and coming up with solutions that enable successful products that improve the lives of people in a meaningful way?At Amazon Robotics, we strive to push boundaries in order to provide the best possible experience for our customers. We are looking for scientists striving to use their domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. As an Applied Scientist intern, you will have access to large datasets with billions of images and video to build large-scale machine learning systems. Additionally, you will analyze and model terabytes of text, images, and other types of data to solve real-world problems and translate business and functional requirements into quick prototypes or proofs of concept.As an Applied Scientist intern, you will work from concept through to execution. This role will give you the opportunity to build tools and support structures needed to analyze data, dive deep to resolve root cause of systems errors and changes, and present findings to business partners to drive improvements.Come build the future with us. Amazon internships are full-time (40 hours/week) for 12 or more consecutive weeks with start dates between May and June 2022.Amazon Robotics intern opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for co-ops to have direct access to robotics testing labs and manufacturing facilities!
US, WA, Seattle
Job summaryAmazon’s Shipping and Delivery Support (SDS) team is a part of Amazon World Wide Customer Service dedicated to support successful package deliveries to Amazon Customers. As a Data Scientist on our team, you’ll use Amazon’s wealth of data to help answer tough questions like where and when preemptively intervening with a problem is most likely to result in a successful delivery, which signals should alert us that a delivery is at risk of missing its estimate, and what is the relative value of a specific set of support associate actions as they relate to delivery success. You will also leverage Amazon's rich datasets and machine learning techniques to understand customer urgency, and build algorithms to recommend treatment actions to optimize delivery outcome. This role will be a key member of the Shipping and Delivery Support Science Team.The Senior Data Scientist will work closely with Business Intelligence Engineers, Data Engineers, Product Managers, Software Engineers, and Program Managers to develop statistical and machinelearning models, design and run experiments, and find new ways to improve support experience to optimize the customer experience and Amazon’s on-time deliveries. The Scientist will collaborate with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight Amazon drivers and our customers. Science at Amazon is a highly experimental activity, although theoretical analysis and innovation are also welcome. Our scientists work closely with software engineers to put algorithms into practice. They also work on cross-disciplinary efforts with other scientists within Amazon.The key strategic objectives for this role include:· Understanding drivers, impacts, and key influences on delivery success and support contacts.· Optimizing support processes to improve the Customer experience and Amazon’s on time delivery.· Automating feedback loops for algorithms in production.· Collaborate with researchers, software developers, and business leaders to define product requirements and provide analytical support.· Utilizing Amazon systems and tools to effectively work with terabytes of data.· Communicating verbally and in writing to business customers and leadership team with various levels of technical knowledge, educating them about our systems, as well as sharing insights and recommendations
US, NY, New York
Job summaryCalling all inventors! Are you excited about Advertising technology? Love to work at the intersection between Machine Learning, Customer Experience, and Revenue Growth? Keep reading.Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!As a Senior Data Scientist for Amazon Business Advertising, you will help build a new Business-to-Business (B2B) advertising experience from the ground up and create and launch features for both advertisers and business shoppers globally. Our team owns end-to-end advertising experience including placements, ad relevance, creative, ad serving, advertiser experience, and marketing. You will work on complex science, engineering, optimization, econometric, and user-experience problems in order to deliver relevant Amazon Business ads on Amazon search and detail pages world-wide. Leveraging Amazon's massive data repository, you will develop experiments, insights and optimizations that enable the monetization of Amazon online and mobile search properties while enhancing the experience of Amazon shoppers.As a Senior Data Scientist on this team you will:* Lead full life-cycle Data Science solutions from beginning to end.* Deliver with independence on challenging large-scale problems with complexity and ambiguity.* Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data to better understand Amazon Business customer shopping journey so as to help enhance their experience at Amazon.* Build Machine Learning and statistical models to solve business problem you define* Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.*Why you will love this opportunity*: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.*Impact and Career Growth:* You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video ~ https://youtu.be/zD_6Lzw8raEAbout the teamAmazon is building a world class advertising business and defining and delivering a collection of self-service performance advertising products that drive discovery and sales of merchandise. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products.Amazon Business Advertising team's mandate is to build a new Business-to-Business (B2B) advertising experience from the ground up as it requires a differentiated customer and advertiser experience. We are investing in a deep science and technical team to pursue a transformation opportunity.#adptjobs#adptvs#vertcat#amazonbusinessads
US, CA, San Francisco
Job summaryAbout Us:Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate and grow their personal interests and passions. We're always live at Twitch.About the Role:Data is central to Twitch's decision-making process, and data scientists are a critical component to evangelize data-driven decision-making in all of our operations. As an data scientist at Twitch, you will be on the ground floor with your team, shaping the way product performance is measured, defining what questions should be asked, and scaling analytics methods and tools to support our growing business, leading the way for high-quality, high velocity decisions for your team.For this role, we're looking for an experienced data scientist in analytics who will help develop the strategy and evaluate/improve product initiatives within our Community Experiences product team. You will be responsible to define and track KPIs, design experiments, evaluate A/B tests, implement data instrumentation, and inform on investment. Our ideal candidate is a "full-stack" data powerhouse who uses data to drive decision-making to make the best products for our creators and their communities. Your input will be core to decision-making across all major product strategies and initiatives that our team builds. You will work with product managers, technical program managers, engineering, data scientists, and organization leadership within and outside of the Community organization.
US, CO, Boulder
Job summaryAmazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!This hiring team is focused on building services that can deliver relevant marketing campaigns in a privacy-centric fashion. They will use the latest technologies and machine learning (ML) capabilities so that advertisers are able to reach their desired audiences with no specific knowledge about the individuals that make up that audience.This role will help create intelligent machine learning models from our enormous datasets that will allow our advertisers to reach their intended audiences without having to know anything about the person that ultimately sees the ad. You'll design and run large-scale experiments, prototype approaches using the latest technologies, and build models that will make a big impact to our customers and our advertising business.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Key job responsibilitiesAs a Data Scientist on this team, you will:· Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.· Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.· Apply statistical and machine learning knowledge to specific business problems and data.· Build decision-making models and propose solution for the business problem you define.· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.· Analyze historical data to identify trends and support optimal decision making.· Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.A day in the lifeA typical day in life on our team includes diving deep into problems and designing innovative and scalable solutions to solve them. You'll have the autonomy to solve high impact problems with your own visions, while having the support of engineering teams from around the company to make them reality. You'll also help your teammates out, and be a significant contributor during their design and code reviews, as well as operating the services we are planning to launch.About the teamYou'll be joining a team that is just starting up, and will have the opportunity to build from the ground up, without the burden of tech debt. You'll work alongside a group of talented software engineers and scientists in a fun, fast-paced, and agile environment. We own our solutions from end-to-end: from design to running at scale in production and operate with a great deal of autonomy allowing us to solve problems in ways that make the most sense for our customers.
US, WA, Sumner
Job summaryAdvanced Technology is tasked with the rapid development of new mechatronic and automation solutions intended for use throughout customer fulfillment to improve safety, efficiency, and cost. The Systems Engineering and Analytics Team evaluates new products to answer design questions, quantify risks, and determine whether the solution meets throughput, quality and reliability targets.Advanced Technology – Systems Engineering and Analytics (AT-SEA) needs a person who is highly skilled in a range of quantitative data science methodoligies (e.g., Frequentist Statistics, Bayesian Statistics, Time Series Analysis, Design of Experiment Development). They would be able to translate plain language test objectives into mathematically robust test plans and designs of experiment. The R&D Data Scientist would seek feedback from their manager and project stakeholders on their proposed approach, solution, and methodology. Although their solutions may be influenced by practical constraints that were not initially apparent, they would assume responsibility for the correct implementation of their plans and would validate their data, assumptions, and results. They would subsequently ensure the AT-SEA’s business intelligence engineers deliver analysis that uses appropriate assumptions, methodologies, and current data science best practices.The work would focus on loosely-defined problems in support of team and organization goals. They would follow best practices to direct the collection of data from multiple sources, and would adapt existing knowledge to build models, and design workable solutions to meet customer needs. They would be comfortable with specialized statistical software (e.g. R, Minitab) and have experience with a scripting language to scale their methods (e.g., Python). They would effectively partner with business, science, and engineering teams.The R&D Data Scientist would participate in team business reviews, design, scoping, and prioritization discussions. They would seek to learn the business context, practical constraints and technologies associated with the products their team is helping develop and evaluate. They would work effectively with customers and internal partners to understand business impacts and identify any opportunities or problems arising from the technical decisions they make. The R&D Data Scientist would write accurate, clear, and mathematically rigorous technical documents and reports and ensure that their work meets customer needs and team goals. They would be able to explain technical concepts and assumptions to non-technical audiences.
US, CA, Palo Alto
Job summaryAmazon 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.Please visit https://www.amazon.science for more information
US, CA, Palo Alto
Job summaryAmazon 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.Please visit https://www.amazon.science for more information