Sr. Data Scientist

Amazon.Com, Inc. New York , NY 10007

Posted 2 weeks ago

Machine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.

The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. As an ML Solutions Lab data scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.

We're looking for talented data scientists capable of applying classical ML algorithms and cutting-edge deep learning (DL) and reinforcement learning approaches to areas such as drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others.

The primary responsibilities of this role are to:

  • Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industries

  • Interact with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve them

  • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms

This position requires travel of up to 25%, and can be located in Austin, Chicago, New York, Boston, Washington D.C., Atlanta, Palo Alto/Bay Area, or Seattle.


icon no score

See how you match
to the job

Find your dream job anywhere
with the LiveCareer app.
Mobile App Icon
Download the
LiveCareer app and find
your dream job anywhere
App Store Icon Google Play Icon
lc_ad

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Sr Data Scientist

Pivotal Labs

Posted 2 months ago

VIEW JOBS 7/3/2019 12:00:00 AM 2019-10-01T00:00 Pivotal's Story VIDEO As a recognized leader in disciplined agile and lean software development practices, Pivotal combines the Silicon Valley state of mind, modern approach, and infrastructure with organizations' core expertise and values. Our cloud-native platform and suite of data tools drive software innovation for many of the world's most admired brands, helping enterprises move at start-up speeds and with greater business agility. We optimize for change and teach next-generation developers to create and build new solutions, and are committed to open source and open standards. Our methodology is about evolving, in both development and innovation, and our culture is empowering. Our 2,000+ employees across offices worldwide subscribe to an ethos of kindness. We make a point to bring empathy to each and every project, and are guided by a purposeful mission—to transform how the world builds software. You You bring a deep focus and passion for a particular specialization within analytics (e.g., text or sentiment analytics, network/graph analytics, time series modeling, etc.), or a key vertical market (i.e., life sciences, digital media, energy, etc.). Ultimately, you want to build your career upon developing new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets. Us The Customer Solutions team strives to make customers' use of our products and solutions successful, so that they can more effectively transform their business. Our cross-disciplinary team includes technical account leaders, data scientists, agile specialists, solutions architects, educators on Pivotal technology, and business transformation specialists. Your Day A typical day in this role may include the following: * Using techniques from supervised and unsupervised machine learning, statistical analysis and predictive modeling to deliver business insights to prospects and customers based on data stored in Pivotal data warehouses * Working directly with customers to educate them on "moving beyond BI" and training their internal resources to execute advanced forms of analytics on Pivotal * Creating reusable implementations of statistical tests and models using the available technologies in the Pivotal ecosystem * Working with the academic and business community to develop new techniques and to contribute to research in the area of advanced analytics on large databases * Generating new product requirements for the Pivotal engineering group to enhance the analytics capabilities of the database * Assisting in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management Required Skills / Experiences * Advanced knowledge of statistical and machine learning methods, particularly in the areas of modeling and business analytics * Strong programming skills * Experience with statistical languages and packages, such as R, SAS, Matlab * Experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, MapReduce and Hive. * Experience with additional programming languages, such as Python, Java, and C/C++. * Excellent written and verbal communications skills, with a proven ability to translate complex methodologies and analytical results to higher-level business insights and key take-aways * Ability to travel as-needed to meet with customers Desired Skills / Experiences * A proven passion for generating insights from data, with a strong familiarity with the higher-level trends in data growth, open-source platforms, and public data sets. * Experience working hands-on with large-scale data sets * Familiarity with visualization software and techniques (including Tableau), and business intelligence (BI) software, such as Microstrategy, Cognos, Pentaho, etc. * Degree in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research) Pivotal is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law. Pivotal Labs New York NY

Sr. Data Scientist

Amazon.Com, Inc.