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.
Through innovative, high-quality, and analytical solutions you will transform our clients by demonstration and delivery of the Ayasdi product into powerful users of Ayasdi solutions. As our Ayasdi SME you will create sustainable, high quality and actionable results.
You will serve as an Ayasdi SME on product functionality that meets customer solutions scope. You will work on all aspects of the implementation process including participation in the sales presentations, defining scope of work and requirements gathering.
Directly interact with customers in the Financial Services industry to understand and help solve their business problems.
Become a master user and advocate of Ayasdi’s products and solutions
Serve as a technical and subject matter expert during external communications, enabling sales during the pre- and post- sales efforts.
Make scientific contributions while providing thought leadership in publications, speaking opportunities, presentations.
Interact and collaborate with engineers and product managers, relaying feedback from customers to continually develop our product
Establish credibility as a conduit for solutions expertise with customers (e.g., positive customer feedback), and is viewed as “trusted advisor” to the customer
Continually builds deep solution, customer, and industry domain expertise by leveraging appropriate resources (internally at Ayasdi and externally with the client)
Communicates effectively with clients and team members
Applies a broad knowledge of Ayasdi product
Become a subject matter expert with Ayasdi solutions in order to present with credibility
MS or PhD in quantitative field
6+ 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
Use strong software development practices
Ability to travel 30%, or as needed