Job Directory Data Scientist (Ad Quality and Fraud)

Data Scientist (Ad Quality and Fraud)
New York, NY

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About

Job Description

Our Company:

At Impact our culture is our soul. We are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. If you are looking to join a team where your opinion is valued, your contributions are noticed, you get to work with fun and talented people solving cutting edge marketing challenges with technology, and advance your career, this is the place for you. Impact operates globally with offices worldwide in Santa Barbara, San Francisco, Columbus, New York, London, Cape Town, Oslo, Seattle, Sydney, Singapore, and Shanghai.

Our company is transforming how advertisers handle media and performance marketing partnerships. Our integrated suite of products enables digital brands and agencies to maximize their return on global ad spend by providing a single trusted view into the consumer journey from ad impression through acquisition - across all devices and channels.

Why this role is exciting and what you will be doing:

The data science team works on research, design, and validation of new algorithms that solve major online fraud challenges for leading brands in the digital marketing ecosystem. The team's primary function is to design and implement new approaches to fighting online fraud to ensure bad actors are removed from the ecosystem. As a Data Scientist, you are working on researching and building the next generation of algorithms for identifying online fraud. You are proficient in big data technologies and statistics; you are passionate about applying your skills to become a leading expert in detection techniques for online fraud and user behavior.

The main purpose of this role is to design and develop Forensiq's algorithms that power our online fraud detection and analytics products.

Does this sound like you?

* Define innovative methodologies to address product requirements
* Prototype and build scalable analysis pipelines
* Apply machine learning and artificial intelligence to build accurate predictive models
* Play a key role in the design and development of core scoring algorithms that provide clients with insights at scale
* Collaborate with Engineering on the implementation of machine-learning algorithms
* Partake in our culture of personal accountability and ownership, peer review, and self-improvement

Requirements

* BS in Computer Science, Applied Statistics or related field; MS or PhD preferred
* 2+ years of applied experience with machine learning, AI, data mining or statistical work
* Demonstrated ability in choosing the right statistical approaches for a range of problems
* Desire to learn and adapt in a fast paced environment
* Java or Scala experience (with Hadoop, Spark, HBase) preferred
* Ability to find answers to complex business and industry questions using big data; produce and present high-impact research
* Knowledge of multivariate statistics and modeling techniques
* Knowledge of machine learning algorithms
* Intimate knowledge of Computer Science principles and fundamentals
* Knowledge of distributed systems preferred

Benefits (Perks):

* Unlimited PTO


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    * Flexible work hours
    * Catered lunch every Friday, a healthy snack bar, and great coffee to keep you fueled
    * Flexible spending accounts and 401(k)
    * An employee-led culture team that plans our happy hours, parties, and other events to celebrate our many successes
    * An established company with a cool, high velocity work ethos, where each person can make a difference!

    We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Medical, Dental and Vision insurance


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