Senior Data Scientist

Key Skills

Python Programming, SQL, MATLAB Programming, R Programming, SAS

Job Description

Job ID: 1529950 | Amazon.com Services LLC

DESCRIPTION

At Try Before You Buy (TBYB) , our vision is to create a compelling global styling business that becomes customers’ most trusted fashion advisor. In addition to providing the convenience of recurring recommendations through Personal Shopper boxes, we will use customers’ personal preference information to enhance all shopping experiences.
Try Before You Buy team at Amazon Fashion is looking for an Applied Scientist to join us to build our next-generation personalized recommendation systems for Personal Shopper and Prime Wardrobe. In this role, you will be responsible for researching, developing, and deploying machine learning, computer vision, and NLP models to make customers' fashion shopping experience at Amazon engaging and joyful.
The primary responsibilities of this role include:

• Lead complex projects that design and build machine-learning, natural language processing, and computer vision solutions for our customers
  
• Collaborate with PMs in Designers on customer-facing experiences that will utilize this data to transform the apparel shopping experience for Amazon customers.
  
• Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
  
• Drive continued scientific innovation as a thought leader and practitioner.
  
• Provide technical and career development guidance to both scientists and engineers in the organization.
  
• Build ETL pipelines to collect and process data
  
• Frame and transform ambiguous business challenges into science hypotheses. Design and implement offline and online experiments to evaluate them
  
• Develop prototypes to test new concepts/proposals for models and algorithms
  
• Design and build automated, scalable pipelines to train and deploy ML models

BASIC QUALIFICATIONS

• 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
  
• 4+ years working as a Data Scientist

PREFERRED QUALIFICATIONS

• Experience with Spark, Hadoop, Elastic Map Reduce (EMR)
  
• Leadership experience in a research team, including planning, mentoring, and ownership of group outcomes.
  
• Communication and data presentation skills
  
• A natural curiosity and desire to learn
  
• Ability to distill problem definitions, models, and constraints from informal business requirements, and to deal with ambiguity and competing objectives
  
• Published research work in academic conferences or industry circles
  
• Experience in designing and building scalable machine learning models
  
• Experience in major machine learning software frameworks such as scikit-learn, MXNet, TensorFlow, PyTorch, Keras, etc.
  
• Experience with Big Data technologies such as Hadoop, Spark, Pig, Hive, Presto, HBase, etc.

Are you seeking an environment where you can drive innovation? Do you want to apply machine learning techniques and advanced statistical modeling to solve real world problems to help Amazon reach and delight millions of customers around the world? Do you want to play a crucial role in the future of Amazon?
Every time an Amazon customer makes an order they leverage the most advanced and sophisticated supply chain the world has ever seen, Amazon, and its global network comprising of cutting edge software, fulfillment centers, sort centers, delivery stations, airports, customer service centers, physical stores, robots, airplanes, trucks, vans, trucks, world class employees, trusted partners, and more. Conducting a symphony of this scale comes with significant costs.
Here in WW Consumer Finance, our quantitative researchers raise the bar on our ability to fulfill promises to customers at greater convenience, speed, and value through:

• Developing models to support the identification of investment opportunities consistent with Amazon strategic priorities
  
• Developing models identifying synergy opportunities and risks in potential transactions
  
• Serving as a subject matter expert on investment lead pipeline and valuation methodologies
  
• Establish the ongoing processes, skill sets, and strategy that will enable Amazon to continue to build out our financial engineering competency, in of extremely fast growth and a rapidly changing industry
  
• Working with technical and non-technical customers across every step of data science project life cycle.
  
• Collaborating with our dedicated product, data engineering, and software development teams to create production implementations for large-scale data analysis.
  
• Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business.
  
• Presenting research results to our internal research community.
  
• Leading training and informational sessions on our science and capabilities.
  Your contributions will be seen and recognized broadly within Amazon, potentially contributing to the Amazon research corpus and patent portfolio.

BASIC QUALIFICATIONS

• MS or Ph.D. in Statistics or equivalent experience in Computer Science, Mathematics, Finance, Economics, or a related field
  
• 2+ years working as a Data Scientist, Quantitative Researcher, or equivalent
  
• 2+ years of hands-on experience in building Machine Learning models in an applied environment
  
• Expertise in investments, derivatives, and asset pricing
  
  

PREFERRED QUALIFICATIONS

• Experience working as a Data Scientist, Quantitative Researcher, or equivalent at an investment bank, hedge fund, private equity fund, or any other type of investment management firm
  
• Strong understanding of international accounting rules and familiarity with global financial market structures
  
• Experience working with Bloomberg, S&P Global Market Intelligence, and/or FactSet API Solutions