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Principal Data Science

Principal Data Science

  • Location

    Bradenton, United States

  • Sector:

    Data

  • Job type:

    Permanent

  • Salary:

    Flexible

  • Contact:

    Matt Hezlep

  • Job ref:

    38264

  • Published:

    11 months ago

  • Expiry date:

    2019-03-21

Responsibilities 

  • As the subject matter expert in Data Science, represents the Data team in strategic projects and executive decisions of high significance.
  • Derives new data sets and values from existing and/or potential data sources.

  • Accesses data from a variety of sources, including RDMS, NoSQL, or API.

  • Performs data aggregations, manipulations, and cleaning to ensure data integrity throughout the entire analytical process.

  • Applies supervised and unsupervised modeling techniques to data to generate predictions and uncover patterns.      

  • Researches, designs, and implements Deep Learning algorithms for complex business problems.

  • Creates measurement systems to continuously evaluate the performance of data products.

  • Develops hypothesis statements and applies statistical testing to determine causality and generalize observations.

  • Research, design, and implement algorithms for complex business problems.

  • Works closely with the Data Engineering teams to align core capabilities around outcomes.

  • Decomposes complex problem statements into specific deliverables and requirements.

  • Builds advanced prototypes and proof-of-concepts to test emergent tools against our current processes and prospective business scenarios.

  • Supports the leadership team in developing long-term goals and roadmaps.

  • Continuously scans the Data Science landscape for recent developments and opportunities to ingrate new methodologies into the existing project portfolio.

  • Creates presentations and delivers results to colleagues, stakeholders, external organizations, and executive leadership.

  • Leads program review sessions and collaborative exercises to build the team's overall analytical capability.

  • Mentors junior team members and provides constructive critique on specific projects.

QUALIFICATIONS

  • Advanced SQL skills and is comfortable operating with relational data models and structure.

  • Advanced/expert level skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.

  • Advance skills with accessing data via a variety of API/RESTful services.

  • Advanced/expert level programming skills in either R, Python, or similar analytical language.

  • Strong knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.

  • Advanced knowledge of Apache Spark.

  • Strong knowledge of cloud environments such as AWS and Azure.

  • Experience with popular Deep Learning frameworks such as Tensorflow, Keras, or Caffe.

  • Advanced understanding of software development and collaboration, including experience with tools such as Git.

  • Excellent written and verbal communication skills, comfortable presenting in front of large audiences.      

  • Can effectively and succinctly decompose highly complex findings to non-technical audiences.

  • Excellent data visualization skills, is able to determine the appropriate visualization for a variety of data types and create compelling stories with data.

  • An advanced understanding of supervised and unsupervised learning techniques including; variable selection, feature engineering, model generation, model diagnostics, and deployment.

  • Excellent statistical skills that are grounded in a thorough understanding of testing and frequentist/Bayesian methodologies.

  • A proven track record of leading successful projects and driving measurable, viable results using Data Science techniques.

EDUCATION and/or EXPERIENCE

Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science or otherwise research-based field; 5-7 years of related experience and/or training; or equivalent combination of education and experience.