Posted on: November 24, 2017
We are seeking highly motivated data scientists to join client interfacing team in Brooklyn, NY.  We are looking for people who have a passion for analyzing and uncovering digital insights from large, complex streams of data derived from the worlds most advanced aerospace, aviation and building management systems.As a member of a cross-functional team of product managers, software engineers and designers, you will combine your problem solving and analytical skills to identify, quantify, and solve real world problems leveraging best of breed digital technologies.  This role will also work closely with client interfacing engineering, design, operations, marketing and service delivery teams to challenge the boundaries of what’s possible.

This position will provide the unique opportunity to operate in a start-up-like environment within a Fortune 50 company.

If you relish complexity, view continuous improvement as a success factor, embrace change and enjoy working in a rapidly growing and progressive environment!

Primary Responsibilities:

  • Develop models and algorithms that drive productivity and growth throughout the supply chain
  • Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance
  • Build learning systems that monitor data flows and react to changes in customer preferences, network constraints, and business objectives
  • Collaborate with product managers to implement and deploy scalable solutions
  • Provide thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders
  • Build scripts to automate, clean, transform, cross-reference and merge large sources of data utilizing languages such as Python or R

·         Results-oriented with a strong sense of ownership in delivering for our customer and businesses


Required Skills:

  • Candidate should have 3+ years of relevant experience working with large data sets and distributed computing tools a plus (Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.)
  • Deep knowledge of machine learning, statistics, optimization or related field
  • Experience with R, Python, Perl, Matlab
  • Experience in Perl, C, C++ or Java
  • Excellent written and verbal communication skills along with the ability to well work in cross functional teams
  • Work experience in programming, data science, machine learning
  • Motivated self-starter with a strong enthusiasm to learn

·         Results-oriented with strong communication and customer focus

  • Ability to deal well with ambiguous and undefined problems


Educational Qualifications & Certifications Requirement:Advanced Degree in Computer Science, Statistics, or Operations Research or related technical discipline.

If you would like further information about this role, please contact Lydia Jones on 0161 950 8844 or email Lydia here. 

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