Data Scientist, Data

New York, NY

Data Scientist, Data

The Data Team ingests, transforms, enriches and connects data from all over the world. These highly diverse public datasets are fed into pipelines intertwining engineering with machine learning in order to create unique, powerful products. These products stand on their own, but can also be combined to support client engagements, which are handled by our commercial teams. Past work has included: helping financial services organizations develop compliance practices that cut off funding to terrorists and human traffickers, allowing top quantitative hedge funds to integrate high-caliber data into their investment decision-making, enabling pharmaceutical companies to get contaminated medications off the shelves more quickly.

In the capacity of a Data Scientist you will be involved in building and validating the machine learning components in our pipeline. We value data scientists who can quickly implement elegant solutions to complex problems. While you are excited by ground breaking methods, your fascination with these technologies does not distract you from straightforward solutions. You’ll use your creativity to make decisions on preferred techniques, balancing the cutting-edge with engineering and product requirements. To do this you will work collaboratively with highly skilled and passionate people.

You will have the chance to grow quickly within our rapidly expanding company. Your role may evolve as we do, but you don’t fear change; instead, you see opportunity. You posses both excellent verbal and written communication skills, as this ecosystem of engineering and data science requires a talent for communicating and connecting with technical people with different backgrounds, strengths, and skill levels.

You are passionate about learning emerging techniques and the state of the art in data processing and machine learning. You use data to inform and make decisions. You take pride in your craft and enjoy building informative, reliable products. You’re excited about data's impact on the world and you are curious, generous and can hustle in a competitive environment.

All Enigma engineers share a curiosity about the breadth and scope of problems that data can solve (both for individuals and organizations) and a commitment to building a platform that answers those questions.

We have high-reaching goals, and Engineering is going to solve them. Want to help?

What we look for:

  • Strong statistical skills and familiarity with machine learning techniques

  • Fluency with analytical programming, including libraries for cleaning, reshaping, exploring and visualizing data (Python pref., Spark a plus)

  • The ability to clearly convey complex concepts with plain language

  • Demonstrated ability to produce high-quality, product-focused, scalable analysis

  • Problem solving with determination, perseverance and grit

  • Creative and versatile analytical skills

  • Is motivated by working on hard problems with smart people

  • Attention-to-detail balanced with ability to prioritize

  • Experience with any of the following is desirable: entity resolution, neural nets, natural language processing, graph databases

Enigma is a rapidly growing enterprise technology company based in the Flatiron neighborhood of New York City. We are Series B funded, partnering with some of the best investors in the world: New Enterprise Associates, Two Sigma Ventures, Comcast Ventures, Crosslink Capital, American Express Ventures, and others.

Founded in 2012, Enigma was started based on the realization that there was tremendous potential in using public data to understand how the world works, but that it was untapped because the data is highly fragmented and disconnected. Enigma set out to change that by building and organizing one of the largest collections of public data in the world. Our big coming out party was winning TechCrunch Disrupts Battlefield in 2013. Our vision has remained steadfast. We want to empower people to interpret, and improve, the world around them. We have expanded our ability to realize this vision by combining our massive public data repository with an ecosystem of software and tools designed to link, resolve, enhance and apply data to help global-scale companies take on some of their hardest problems, ranging from preventing money laundering to ensuring patient safety.

We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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