• Senior Data Analyst

    Job Locations US-NJ-Princeton | US-NJ-Tarrytown | US-NY-New York
  • Overview

    IDify is a leading identity resolution firm that provides marketers and suppliers with solutions to enable person-level data strategy, analytics, and marketing. Our data allows our clients – including some of the world’s largest marketing platforms, retailers, and publishers - to combine, analyze, and activate data at the person-level to improve ROI and drive profitable, mutually beneficial customer relationships. Our mission is to provide accuracy, transparency, and scale to the new ecosystem of person-level marketing and commerce.


    Data and technology are core to our capabilities. We capture billions of data points and digital interactions across our proprietary network of partners and clients and synthesize that data into truth sets that define real people, their relationship to devices and the physical world, and their attributes.


    We operate as a nimble startup, with a flat org structure that allows every team member to have ownership and authority. We like to move fast, iterate and improve using a learn-by-doing mentality. We’re looking for smart, driven team players who can help us get things done. 


    IDify is a wholly owned subsidiary of ALC and is backed by world-class investors.


    We are currently seeking a Senior Data Analyst to join our ALC Digital team of professionals. This position may be based in our Princeton, NJ / New York City or Tarrytown, NY locations.


    Our “ideal candidate” should be naturally curious, detailed oriented, have a sharp analytical mind, proficient with a variety of cutting-edge toolsets, a penchant to drive efficiency through automation, and ability to communicate complex concepts to technical and non-technical people alike.


    You will be responsible for owning a range of primary data science objectives including designing testing frameworks for data quality and confidence, analyzing structured data from a wide variety of sources, evaluating data partners, and identifying and scoping opportunities to automate repeatable processes. 


    We want to be your Employer of Choice!


    IDify offers excellent benefits including medical, dental, vision, life, LTD, 401k w/ company match, paid time off, business casual dress, summer hours, customized training & more!  If you are one of the “best and brightest” in your field and you’re looking to position yourself for the future, this is a great opportunity. 


    For immediate consideration, please create a profile and make sure you provide your resume, salary requirements, and current contact information.  We look forward to learning more about you and the value you can bring to IDify!




    In addition, our "ideal candidate" has the following skills & experience: 

    • Bachelor's in CS, Engineering, Mathematics, Economics, Statistics, or related field.
    • 3+ years relevant experience in predictive modeling and analysis.
    • 3+ years of experience with machine learning, data mining, and analytics techniques
    • 3+ years of experience in R, Python, Weka, SAS, Matlab or other statistical/machine learning software.
    • You're a self-starter, quick learner, problem-solver with an eye for detail, and someone who relishes challenges.
    • Pride in your work, and high standards for yourself and the company you work for.
    • Strong communication, analytical and collaborative problem-solving skills.
    • Proven ability to learn quickly, work independently, and adapt to change in a fast-paced environment.
    • Experience with BI/reporting tools such as Tableau is a plus.
    • Previous internet/mobile industry experience is a plus.


    Responsibilities for this role include, but are not limited to:

    • Building complex data sets from multiple data sources, both internally and externally.
    • Building learning systems to analyze and filter continuous data flows and data analysis.
    • Building and scaling new algorithms to large data sets.
    • Training algorithms to apply models to new data sets.
    • Developing custom data models to solve business and performance issues.
    • Validating models and algorithmic techniques.
    • Researching new techniques and best practices within the industry.
    • Working with product and engineering to define objectives and developing analytic tools and products.
    • Modeling compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity.


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