• Senior Data Scientist

    Location US-NJ-Holmdel
    ID
    2018-3460
    # of Openings
    1
    Category
    Technology and Infrastructure
    Department
    Product Development
    Posting Level
    Professional
  • Overview

    Have you designed and implemented large-scale data projects? Have you done so in a corporate setting? We’re looking for a statistical and computer science whiz to join our team as a Data Scientist IV, where you’ll be responsible for analyzing and modeling big data to develop analytics that will influence our products and customers. In this role, you’ll work with data engineers and data analysts and use data mining, statistics, and database techniques to extract actionable insights from both large data sets and economic time-series. We’re looking for someone experienced in tool selection, methods, and processes - someone who’s comfortable leading a team, and can make recommendations with confidence. If you’re a top-notch communicator who loves diving into the details and can engage effectively with stakeholders, this could be your next big thing

     

    iCIMS extends a work culture unlike any other East Coast-based technology provider. We focus on hiring candidates who display our seven core competencies – passion, drive, transparency, adaptability, empathy, kaizen, and customer commitment. If you eat, sleep, and breathe our competencies and desire to work in a casual yet results-driven environment that embraces innovation– then you’re just what we’re looking for!

     

    iCIMS is a high-growth Software-as-a-Service (SaaS) company that’s voted one of the Best Places to Work in New Jersey. We are the industry's premier recruitment software provider – delivering technology that supports more than 3,500 contracted customers around the globe. Committed to both growth and stability, we have a lot of opportunities for career advancement within our organization. Come grow with us. Apply today!

    Responsibilities

    • Extract actionable insights from huge volumes of data using data mining, statistics, and database techniques
    • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on decision making
    • Conduct studies, rapid pilots, and identify metrics
    • Guide other team members on best practices and review their analysis.
    • Be the go to person for advanced models, analysis and data science.
    • Identify best practices on data quality issues, root causes and remedies to be implemented by the data engineers
    • Design and implement large scale data projects
    • Influence and persuade others to support large scale projects and hypotheses
    • Communicate ideas and theories to a wide audience
    • Work directly with business teams and leaders to understand requirements and communicate results
    • Consistently ensure that business is conducted with integrity at all times and that behavior aligns with iCIMS policies, procedures, and core competencies

    Qualifications

    • Minimum of 7 years of related work/graduate experience
    • Experience working with big data is a plus
    • Strong written and verbal communication skills with an ability to communicate ideas clearly to a wide audience
    • Ability to develop and query databases, and perform statistical analysis
    • Skills to create examples, prototypes, demonstrations to help management better understand data science work
    • A good understanding of design and architecture principles
    • Experience with high level statistical software (R, Matlab, Pandas, SAS etc)
    • Experience with SQL
    • Experience with Apache Spark is a plus
    • Previous work experience with machine learning is a plus
    • Ability to influence and lead others
    • Experience in designing and leading large scale projects

     

    Education/Certifications/Licenses Required
    • Bachelors or preferably Masters/PhD degree in statistics or another quantitative discipline

     

     

    iCIMS is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sexual orientation, gender identity, national origin, protected veteran status, disability status or any other characteristic protected by law.

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