Who we are

At Ginger, Data Science supports the development of the world’s most advanced behavioral health system: high-quality care delivered by humans, powered by data. We are an industry leader in using data to drive and measure treatment effectiveness and efficiency, and we accomplish this through innovation in automation, decision making, personalization of care, and more. 

We believe that data science will help us reinvent how the world gets emotional and mental health support. AI, and ML, in particular, already help us scale the business, and will ultimately significantly broaden access and improve the quality of mental health care.

We are looking for an experienced data science leader that can supercharge our data science team and is passionate about our vision to help people be their best selves. The Chief Data Scientist will be responsible for the development of strategy, technical path, and key technology direction related to data science.


  • Set and execute on a vision for building data products to drive better care for our members while impacting key business metrics
  • Lead development of product-supporting technology using advanced Artificial Intelligence, Machine Learning, and Deep Learning
  • Drive data-driven decision making for the product, marketing and business teams at Ginger
  • Collaborate with product management, engineering, design, marketing, and business leaders in defining and executing on the data roadmap
  • Build up and lead a world-class team of machine learning scientists and data analysts evolving distinctive practices
  • Identify areas of opportunity where analytics can drive improved performance, lead and oversee key analytic projects
  • Inform the data architecture and technology infrastructure that is required
  • Provide technical leadership and mentorship for the team of data scientists
  • Be a thought-leader internally and externally on data used to transform mental healthcare delivery
  • Be a hands-on contributor to the data science products, initially, and as needed later on

Applicable skills

  • Ph.D. in computer science, applied math, statistics, or related technical field with 8+ years experience building data-powered products including 4+ years managing data scientists
  • Track-record of leading high-performance teams building impactful data products and driving business decision making through AI, algorithms and data
  • Strong applied skills in machine learning, natural language processing and statistics to meaningfully solve complex problems
  • Strong communication skills (verbal, written, and interpersonal) and ability to work collaboratively in a cross-functional setting working with product managers, engineers, clinicians, and leadership
  • Ability to translate business requirements from key stakeholders into applied data science tools and products
  • Experience with Caffe/TensorFlow/Torch/Keras/DL4J or similar deep learning frameworks
  • Experience with scale-out Big Data frameworks such as Spark, Hadoop
  • Programming experience with R/Python/Scala/Julia/Swift/C++, or other related programming languages

 Desirable Skills and Experience (Bonus)

  • Experience in the healthcare research or industry
  • Presentation, and contribution as a thought leader in the field of machine learning and AI
  • Highly cited publications in relevant fields

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