Simon Data: Data Scientist
821 Broadway
New York, NY 10003

Employee Testimonials

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About Us

Simon Data was founded in 2015 by a team of successful serial entrepreneurs. We're a data-first marketing platform startup, and we approach our work seriously; we tackle problems in a scrappy and disruptive fashion, yet we build for scale to support our clients at big data volume.

Simon Data is a data-first customer experience orchestration platform, designed to disrupt the marketing technology and marketing cloud category. Simons platform empowers businesses to use enterprise-scale big data and machine learning to power customer communications in any channel. Simons unique approach allows brands to develop incredible personalization capabilities without needing to build and maintain massive bespoke data infrastructure.

Our culture is rooted in organizational transparency, empowering individuals, and an attitude of getting things done. If you want to be a valuable contributor on a team that champions these core values we would love to hear from you.

What Youll Do

  • Build ML products that use Simons outstanding data access to drive real business value
  • Build high-quality statistical models by executing the entire model-building process, including data cleaning, feature extraction, model selection, and predictive validation
  • Contribute to the tooling and interfaces used to support the data science process at Simon
  • Represent Simon DS in conversations with partners at our client companies
  • Advance Simon as a thought leader in data science, by writing blog posts and papers, and presenting at industry conferences
  • Guide internal product and technology strategy by representing data science perspectives and requirements in conversations with your peers

Qualifications

  • Ph.D. in Statistics/Machine Learning, or equivalent
  • Excellent communication of statistical concepts to expert & non-expert audiences
  • Broad and up-to-date knowledge of machine learning models (and their performance characteristics) for classification and regression tasks
  • Specific experience designing and building machine-learning models
  • Proficiency in at least one statistical coding environment (numpy/pandas, R, etc.)
  • Comfort coding in at least one non-statistical language (e.g. Python or Java, not R or Matlab)
  • Proficiency in SQL
  • Production-level software engineering experience is a plus
  • Expertise in causal inference, experiment design, reinforcement learning, and related fields is a plus

Diversity

Were proud to be an equal opportunity employer open to all qualified applicants regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, Veteran status, or any other legally protected status.

Full-time

Employee Testimonials

Shelley
Customer Support Specialist

Since starting at Simon, I've been able to work on widely varying client projects and across departments and areas of our platform. It's great to be able to expand my experience and develop new skills.

Jeff
Senior Business Development Representative

Working at Simon has a been a launch-pad opportunity for my career. I’ve not only had the ability to grow personally and professionally but also work alongside some of the brightest minds in marketing.

Kenny
Software Engineer

Simon is a special place because of its' people - I love the people I work with! Even as a full-time remote employee, I always feel connected with my teammates. Moreover, Simon is growing fast and there's so much opportunity to make an impact here.

Eren
Data Engineer

I love that a strong core of our engineering culture is the ability to work from home! I'm in the office most days, but being able to work productively from home is a huge benefit to life at Simon!

Sam
Data Engineer

Starting as an engineer at Simon has given me the opportunity take the lead on projects and responsibilities far outside the typical scope of a junior engineering role and helped me to grow rapidly as an engineer.