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Data Science Architect

Eccella is a data consulting company solving complex business challenges through innovative, custom built information systems.  Eccella leverages cutting edge technologies in data management, big data, data analytics and data science to build data-driven companies that can make better, faster, and more informed decisions to support business growth.  Eccella has offices in NYC, London and Mumbai from which it serves large enterprises and public sector companies.

Due to tremendous growth, Eccella US is hiring an experienced professional for a full time Data Science Architect role.  You will play a key role in designing and implementing analytical solutions based on customer business needs.

Responsibilities:

  • Ability to assess a business process and available systems and applications which would lend themselves to benefit from machine learning - be it predicting manufacturing failures to customer segmentation to preventing the spread of infectious disease. 
  • Work with existing clients, assess the appropriate approaches and algorithms and lead a team to design and implement a relevant statistical model and enterprise grade platform to load and execute the model providing continuous critical insight.
  • Develop “Proof of Concepts” that demonstrate the business value and work with the client to evolve them into project engagements.
  • Support pre-sales activities, business development and sales

Skills:

  • Strong technical acumen in statistics and machine learning for the enterprise
  • Understanding business challenges and designing analytical solutions to address them
  • Ability to architect and deliver highly available, robust and performant big data analytical solutions
  • Experience across supervised and unsupervised learning, discriminative vs generative models, latent variables, dimensionality reduction, and naive bayes
  • Hands on development in big data platforms including ingesting data onto Hadoop/Spark, leveraging the AWS/EMR infrastructure, as well as techniques for data preparation and acumen building statistical models and machine learning algorithms leveraging R/Python.
  • Proficient in SQL and collecting data from relational systems
  • Working knowledge of at least one NoSQL data store (Casandra, MarkLogic, MongoDB)
  • Experience in accessing external data to improve analytical models
  • Ability to use visualization tools to deliver model results and tell the story
  • Strong ability to lead, grow and support data science team within the organization
  • Excellent communication skills, along with client-facing experience

Experience:

  • A bachelor’s degree in Computer Science, Data Science, Information Systems, or Statistics is required
  • 5+ years of work experience, preferably in a consulting role
  • 3+ years of working on Data Science projects
  • 2+ years of working with data and preparing it for analysis and mode development
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