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Data Scientist - Next Gen AI

Menlo Park

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Data Scientist

Ayasdi is pioneering a newer way to understand large and complex data using Topological Data Analysis (TDA) to automatically discover insights.  We use TDA to unify cutting-edge machine learning approaches into a common framework without the need to write algorithms, queries or models. We’re building a platform to solve some of the world’s most complex data problems and are seeking you to join our Customer Success Team as a Data Scientist. 

Working closely with exceptionally smart people you will balance your creative mindset with your technical knowledge to solve complex problems in new and innovative ways for some of the largest and most complex financial services challenges today and tomorrow. You will use our techniques in combination with advanced statistical and machine learning methods to solve customer problems as well as assist with prototyping new products and solutions.

Job Summary:

As a Data Scientist at Ayasdi, you will be ideating and creating solutions for some of the most complex problems utilizing our next generation AI analytical platform. By combining traditional ML with Ayasdi’s framework you will build new groundbreaking solutions that fundamentally alter the way data is analyzed.  Your technical and inquisitive aptitude will lead you to interesting datasets, but your creativity and initiative will help you find clarity with obscure information.

You will collaborate with cross-functional teams to perform exploration and experimentation to
build prototypes and best practices for our applications. This position will bring insight and
change how our customer’s approach complex problems with analytics.

Responsibilities:

  • Directly interact with customers across industries to understand and help solve their
    business problems.
  • Become a master advocate and leader of Ayasdi’s products
  • Serve as a technical and subject matter expert for sales meeting and events
  • Interact and collaborate with engineers and product managers to identify and discover insights from customers to continually develop our product.

Qualifications:

  • MS or PhD in quantitative field
  • 3+ years utilizing Machine Learning in a financial institute or related organization
  • Solid understanding of statistics and machine learning algorithms
  • Ability to translate analytic ideas into code using production-quality Python code
  • Expertise with data science toolkits like scikit-learn
  • Extremely good problem-solving skills
  • Ability to travel infrequently