MediaMath

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Software Engineer, Data

Software Engineer, Data

Job Locations 
US-NY-New York
Category 
Engineering
Travel 
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Level 
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More information about this job

Overview

MediaMath’s strength is in numbers.  Our technology analyzes 200 billion customer opportunities daily– more volume than the top 10 stock exchanges in the world, combined. 

Over 700 Mathletes in 16 global offices are trusted by two-thirds of the Fortune 500 and partner with thousands of marketers to ensure brands connect with right audiences, in the right place, in the right time.

 

We believe consumers want to have meaningful conversations with their favorite and yet-to-be-discovered brands across all digital touchpoints. Our omnichannel, integrated programmatic platform unites digital media and big data to maximize the return on every marketing dollar spent by making advertising relevant, personalized, measurable and controllable.   From inventing the DSP category in 2007 to being named a DMP Forrester Challenger (our first year participating in the DMP Wave!) in 2017, we continue to deliver results for marketers more quickly and accurately than any other solution. 

Technology is changing the way brands interact with consumers.  MediaMath is powering that change.  Come be a part of it!

 

MediaMath's Intelligence team leverages data and algorithms to optimize MediaMath's real-time bidding strategy and reach. We work on products like response rate prediction, bid pricing / valuation, fraud detection, conversation attribution, A/B testing, etc.

 

We are currently seeking software engineers with hands-on experience with big data development (Scala, Python, Hadoop, Spark, SQL, etc.) and data analysis.

Responsibilities

  • Work closely with our data science team and product teams on machine learning algorithms and their implementation
  • Conduct data analysis for discovering patterns, calibrating and improving algorithms
  • Design, implement and test distributed computation algorithms using Apache Spark / Hive
  • Deploy and monitor data jobs at scale, on data sets with over 100 billion records
  • Integrate data jobs with the MediaMath bidding and data platforms through real-time APIs with a high throughput (1M+ QPS)
  • Participate in software design meetings and analyze user needs to determine technical requirements.
  • Provide support for day-to-day operational work as needed
  • Engage with and shape MediaMath culture: write blog posts, organize tech talks, improve internal processes

 

This is not an exhaustive list of responsibilities. As part of our global technology team, you may be required to be work off-hours or be on-call on a rotating basis. Other duties may be assigned, as needed. MediaMath retains the right to change job duties at any time.

Qualifications

  • BS/MS in Computer Science, Mathematics, or related field of study
  • 2-5 years of hands on experience with massive data computation and tools – Spark (Preferred), Apache Hadoop, Flink, Kafka, SQL, etc.
  • Amazon Web Services: DataBricks/EMR, RDS, DynamoDB, EC2, S3, SQS
  • Strong analytical skills
  • A self-starter who brings energy, passion and creativity to work every day, "get it done" attitude.
  • Eager to learn and test new technologies
  • GitHub (or similar) account for us to know you better

 

MediaMath is privately held, employee owned, and headquartered in New York. Mathletes enjoy: Company equity. Performance Bonus. Comprehensive Insurance. Global Internal Mobility. Open Paid Time Off, Philanthropy and Holidays. 401(k) match. Paid Parental Leave. Cell Phone Reimbursement. Modern office space. Onsite Fitness & Wellness. MediaMath.org.


If there might be a match, you'll be scheduled for a first round interview; a 30-minute phone call with our recruiting team so we may get a better understanding of why you are interested in MediaMath and why you think it's a fit. We do our best to respond to everyone, however due to the volume of applications received, only those selected for interviews will be contacted. If you really think we’ve missed the mark, please follow up with globaltalentacquisition@mediamath.com and let us know why you’re the perfect fit!