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Senior Data Scientist

Company Overview

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

We are seeking for a strong candidate with advanced analytics experience to fill an exciting Big Data Engineer position, in Alpharetta, GA. In this role, you will be a valuable expert and will help design and build analytics methodologies, solutions, and products to deliver value to our clients in collaboration with cross-functional teams. As an exceptional candidate, you will show an analytical curiosity.

Responsibilities

  • Understand problems from a client's point of view, build and execute solid analytics work plans, gather and organize large and complex data sets, perform relevant analyses (data exploration and statistical modeling), manage priorities and deadlines, foster teamwork in interactions, develop client relationships with client counterparts, and communicate hypotheses and findings in a structured way
  • Partner with business teams in identifying business requirements and developing advanced analytical solutions to complex problems by utilizing statistical models and machine learning techniques and algorithms

Qualifications

  • A bachelor’s degree or related field with at least 3 – 8 years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka and MapReduce, Spark, R, Python
  • Experience working within a Linux computing environment, and use of command line tools including knowledge of shell/Python scripting for automating common tasks
  • Experience in AI/ML on big data platforms preferred:
    • Slid applied statistics skills, such as identifying distributions, statistical testing, regression, etc. 
    • Prficiency querying both structured and unstructured data
    • Experience with Pythn and Deep Learning packages (Keras, Tensorflow, mxnet) and NLP packages (nltk, spacy) is a plus
    • Experience deplying models in production environments 
  • Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space
  • Hands-on experience with Apache Spark and its components (Streaming, SQL, MLLib) is a strong advantage
  • Excellent written and oral communication skills; must be able to effectively articulate technical concepts to non-technical audiences
  • Software development experience using:
    • Database prgramming using any flavor of SQL
    • Expertise in relatinal and dimensional modelling

Nice to Have:

  • Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, SWF services and the AWS CLI)
  • Experience building recommendation engines (both offline and online validation metrics) 
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