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Customer Data Scientist/Sales Engineer

Employer
H2O.ai
Location
Washington, DC
Closing date
Jun 20, 2019

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Company Overview H2O.ai is the company behind H2O and Driverless AI. H2O is a distributed machine learning platform designed for big data with APIs are available in R, Python, Scala, Java and REST/JSON, while Driverless AI employs the techniques of expert data scientists in an easy to use application that helps scale your data science efforts. With H2O, data scientists can take sophisticated models all the way to production using the same user-friendly platform that they use for modeling. Our customers have built mission critical applications across all industries including healthcare, insurance, finance, telecommunications and retail. The H2O.ai team is a mix of software, machine learning, and data science experts working together with the open source community to build H2O and Driverless AI. Founded in 2011, H2O.ai was one of the first companies to create an enterprise machine learning platform and continues to lead in this space. Job Summary: Can you learn demonstrations (demos) built with R and/or Python? If you think of a cool demo and it doesn't exist, will you raise your hand to get it built? Can you sling code proficiently in at least one language used by data scientists and/or data engineers, and does it excite you to learn more? Are you skilled at predictive modeling? Do you view communication skills just as important as technical ones? Can you listen to the needs of your peers and customers and adapt where need be? Can you write a technical proposal and explain it in simple terms? Do you have a competitive drive to be the best you can be? Can you finish what you start? Can you own assignments given to you? If the answer is "yes" to these questions, you potentially could be an excellent fit to join the team of customer engineering makers at H2O.ai. We deliver world-class solution experiences for our customers and drive revenue for our organization. Some of the technical projects you will work on include: training advanced machine learning models at scale in distributed environments, influencing next generation data science tools and data products, and pioneering ideas and products in new areas, such as machine learning interpretability, automatic machine learning, model management, deployment pipelines, and GPU computing. Responsibilities and Duties: As a solutions architect / customer data scientist, you will work closely with sales directors to: Own account-related technical items and relationships Translate business use cases and requirement into technical ones Problem solve and assess technical problems, determine solutions, and work with internal engineering and customer teams to resolve them Demonstrate ML solutions with engaging storytelling and technical accuracy Create, design, and deliver compelling presentations on complex & technical concepts Craft statement of work, responses for proposals/information, and all written communication required to engage customers. Architect machine learning workflows and systems from data ingestion to model deployment Communicate effectively with internal and externally to a diverse audience, including: engineers, business people, and executives. Audiences will be large and small, and interactions will be in-person and online. Drive field feedback back into product development Be hands-on for all technical activities throughout the sales cycle Travel up to 50% (primarily domestic, occasionally international) however part of the focus of hiring in the Washington DC area is supporting the Federal Government Sector Qualifications and Skills Bachelor's degree in engineering, computer science, mathematics or related field. Graduate degree is a plus. 2+ years' experience with performing customer facing activities as part of a pre-sales team or professional services team Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. visualization skills using R, Python or other languages and frameworks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. 2+ years' experience using statistical computer languages (R, Python, etc.) to manipulate data and draw insights from large data sets. 2+ year working with data in Hadoop and /or Spark ecosystem Desirable: Maker mindset, coachable, and have an urge to learn/master new technologies H2O.ai Perks!. Flexible work hours and unlimited time off. Get paid to work on open source software! H2O.ai is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status. This position is open to Bethesda, MD area, Arlington VA and Reston VA areas.

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