Data Scientist

| Hybrid
Sorry, this job was removed at 12:32 p.m. (EST) on Friday, December 14, 2018
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Type: Full Time 
Min. Experience: Experienced

Who we are:

We are Dataminr. We deliver real-time, actionable alerts that are derived from vast amounts of publicly available information. Our clients are the first to know about high-impact events and critical breaking information, giving them the opportunity to act faster and stay one step ahead when every second counts. We are a mission-driven company committed to the power of real-time information as a force for good in the world.

Our groundbreaking AI and machine learning technology cuts through the noise in an increasingly complex landscape by detecting, classifying, and determining the significance of public information. Headquartered in NYC, Dataminr has revolutionized the way that global news, finance, public sector, corporate security and PR/communications professionals know and act on critical, relevant information to protect people, assets and brands.

Along the way, we've grown to over 450 talented employees across six global offices, raised over $570 million from leading venture and growth technology investors, and been referred to as the “super tool of journalists and hedge funds.” We’ve received numerous awards and accolades from our clients, including recognition from CNBC as one of the world’s 50 most disruptive private technology companies in 2016 and joining Forbes’ definitive list of the top 100 private cloud companies in the world, in 2017 and 2018.

A career at Dataminr offers the ability to make a meaningful impact at a rapidly growing tech company with a startup culture, while being supported by the experience of a company founded in 2009. We value ownership, curiosity and drive on an individual level and live these values every day. We empower everyone to have a voice at the table and regularly invest in professional development. Our culture promotes cross team interaction, work-life balance and the sharing of information and ideas because it enables us to do our best work and have fun.

Who you are:

You're a dedicated Data Scientist who wants nothing more than to help us sort, analyze and deliver relevant information from terabytes of unstructured data in the social media space. You will build machine learning models to transform social media feeds into actionable items. You will also work with engineers, product managers and other teams to solve challenging problems with your data science skills.

Desired Skills & Experience

  • Ph.D. in Computer Science, Math, Statistics or Machine Learning
  • 2+ years of work experience in machine learning and natural language processing required
  • Extensive programming experience in Java, Scala or Python, ability to work on projects with minimal engineering support
  • Experience with Spark, Hadoop/MapReduce and machine learning frameworks
  • Ability to communicate complex quantitative results in a clear, precise and actionable manner
  • Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
  • Ability to work both independently and collaboratively within a team

Our offering of competitive benefits and perks include:

  • Company paid benefits for employees and their dependents, such as medical, dental, vision, disability and life
  • Flexible spending account to be used for out-of-pocket medical, transit, parking and dependent care expenses
  • 401(k) savings plan
  • Generous leave
  • Daily catered lunch
  • A kitchen fully stocked with snacks and beverages
  • Discounted Gym Membership

Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.

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Location

You'll find our open-floor New York office just blocks away from Grand Central and Penn Station, complete with daily catered meals and a fully stocked kitchen.

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