Spry Squared, Inc. DataStax Analytics Consultant - DS201801208 in Santa Clara, California

As a DataStax Consultant, you are a trusted advisor to our customers as they build new technologies that leverage the unique strengths of DataStax software. As a member of the Professional Services team, it is your mission to make it easy for DataStax customers to use our software to achieve continuous success.

With your Data Science consulting specialization, you will be providing guidance to our customers using DataStax Enterprise Analytics to understand their data, develop innovations around that understanding, apply techniques of machine learning (supervised and unsupervised learning, feature selection, etc.), and apply scalable technologies and techniques to operationalize those innovations at massive scale.

  • You are competent using Linux via the command line. (3+ years)

  • You are proficient in at least one programming language – preferably Scala. (2-5 years)

  • You are proficient in the use and administration of at least one database – any RDBMS is good; NoSQL is better; DSE or Cassandra is ideal. (3+ years)

  • You love to travel. In this role, you will travel up to 50% of the time.

  • You practice active listening.

  • You have strong verbal and written communication skills in English – and like using those skills.

  • You find teaching and mentoring gratifying.

  • You work well with individuals as well as teams. You naturally lead but are comfortable following too.

  • You have calmly de-escalated tense situations and negotiated mutually beneficial outcomes.

  • You understand the purpose and value of good project documentation.

Data Science Specialization Requirements:

  • You have hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling, and mathematical optimization techniques and technologies.

  • You have worked with Spark (2+ years)

  • You are proficient with a language commonly used for Spark development. (Scala is ideal; +Python is a bonus)

  • You have used ML algorithms, incorporated features and built models to improve performance based on key business metrics.

All your information will be kept confidential according to EEO guidelines.