Sr. Data Scientist

| Greater NYC Area

As a Data Scientist at Movable Ink, you'll be working on the core product area of Machine Learning analyzing the abundance of data at our disposal. You will build and deliver product enhancements that leveraging the most cutting-edge industry techniques, and partner with engineers and leadership to integrate these AI enhanced products directly into our platform. Our data volumes exceed 1 trillion impressions with over 600+ clients so it is a unique opportunity to work with data at an enormous scale. Additionally, Artificial Intelligence represents an increasingly important strategic investment for Movable Ink, and as such, offers an opportunity to help shape the direction of the team and the company.


Responsibilities of the Data Scientist:

• Build and own machine learning and optimization models using cutting-edge AI techniques such as online learning, reinforcement learning, machine vision, and NLP
• Partner with engineers to deploy machine learning directly into our client-facing platform; including co-owning the code base and leveraging agile and software design best practices
• Conduct research leveraging big data technologies that surface actionable insight that influence product roadmap
• Help provide mentorship and maintain relevancy on latest industry advances and keep MI ahead on the innovation curve
• Contribute positively to our dynamic environment and elevate the performance of others around

Basic Qualifications Needed:

• 3+ years experience in machine learning or data science building production models
• Experience building systems that leverage big data technologies (e.g., Spark SQL, Kafka, NSQ)
• Experienced Python machine learning programmer (e.g., Jupyter, scikit-learn, matplotlib etc.)
• Experience in core software development principles and implementing algorithms from scratch in languages such as C++, Java, or GoLang; GoLang preferred
• Experience in building and optimizing advanced AI algorithms such as neural networks, contextual bandits, and online versions of classification and regression approaches
• Experience in data visualization and storytelling with data
• Creative thinker and problem solver with combination of tenacity and strong work ethic
• Highly collaborative, open to giving and receiving feedback, and working as a member of an agile team
• Strong communication skills -- able to work effectively with technical and non-technical teammates

Preferred Qualifications:

• Understanding of computer science and algorithm fundamentals
• Experience applying deep learning and advanced modeling techniques
• Domain experience in computer vision, natural language processing, or customer marketing models
• Experience with streaming data and the relevant ML models
• Eagerness to learn and apply new technologies and skills
• 1+ years experience delivering AI products in non-academic environment, preferably a technology company
• Advanced degree in Engineering, Computer Science, Machine Learning, or related technical field

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Technology we use

  • Engineering
  • Sales & Marketing
    • GolangLanguages
    • JavascriptLanguages
    • RubyLanguages
    • ScalaLanguages
    • Ember.jsFrameworks
    • Node.jsFrameworks
    • Ruby on RailsFrameworks
    • SparkFrameworks
    • SalesforceCRM
    • MarketoLead Gen

Location

5 Bryant Park, New York, NY 10011

What are Movable Ink Perks + Benefits

Culture
Friends outside of work
Intracompany committees
Open door policy
Pair programming
Open office floor plan
Diversity
Documented equal pay policy
Unconscious bias training
Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K)
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Beer on Tap
Casual Dress
Commuter Benefits
Company Outings
Game Room
Stocked Kitchen
Happy Hours
Recreational Clubs
Professional Development Benefits
Job Training & Conferences
Diversity Program
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