Senior Data Scientist, Machine Learning and Research

Senior Data Scientist, Machine Learning and Research

Our Data Team is looking for a curious and growth-mindset-oriented Senior Data Scientist to (1) collaborate with product and engineering teams to build algorithmic automations into our platform that support our volunteer Crisis Counselors and texters in crisis, and (2) work with our data and communications teams to conduct research and communicate findings in the form of white papers by analyzing our extensive corpus of ~150 million text messages and rich metadata.

 

What you will be doing:

  • Algorithms
    • Algorithmic Development. Develop, test, deploy, and maintain multilingual automated product features that streamline workflows and help to improve quality and consistency of service using algorithms like supervised machine learning (regression and classification), unsupervised machine learning, and recommender systems. 
    • Computational Linguistics and/or Natural Language Processing. Using an extensive corpus of over 150 million text messages with rich and structured metadata, identify strategies that best support texters in crisis in terms of listening, coping mechanisms, de-escalation, and safety planning. Help build validated insights into our volunteer training. 
    • Evaluation. Frequently analyze the results of new platform product features (eg, a recommender system). Clarify what conclusions the team can draw from what may be imperfect data, and maximize team learnings. 
  • Research (here are some publications that have used our data)
    • Statistical Analysis. With your expertise in statistical modeling, work to build research support for training, policy, and product improvements to improve quality of service using techniques like Machine Learning, Regression, Time Series, Markov Chains, Monte Carlo Methods, and A/B testing. 
    • Communicate. Identify insights which may positively impact the broader mental health space and write white papers to help inform and influence mental health policy on both a national and international scale.
  • Stakeholder engagement: Be a strategic partner and work with stakeholders to connect insights to key decisions that affect the organization and the mental health space in general. 

Who you are:

  • Impact-oriented. You want to work on meaningful projects that lead to positive impact. You develop analysis and tools with people in mind. 
  • Independent, self-motivated, and curious. You have a knack for taking vague questions and crystallizing them into impactful projects. You love identifying and solving problems.
  • Deliberate, mindful, team-player. You involve stakeholders early, emphasize consistent rigor and a high standard of ethics in your analyses, and document your work so it is both transparent and replicable. 

You have:

  • Either (1) a PhD in a quantitative field (e.g. computer science, applied mathematics, statistics, physics) and 1-2 years of professional experience in data science and machine learning or (2) a master's degree in a quantitative field and 3-4 years professional experience in data science and machine learning, or (3) a bachelor’s degree in a quantitative field and a minimum of 5 years professional experience in data science and machine learning. 
  • Proficiency in SQL and in at least one of python, R, or scala.
  • Proficiency in cloud computing on AWS and/or GCP with GPUs. 
  • Professional experience developing machine learning models with text data. Deep Learning (e.g. BERT, GPT-2), Regression, Classification, Recommender Systems, and Unsupervised Learning. 
  • Professional experience working with text data using natural language processing and/or computational linguistics. 
  • Experience with statistical modeling techniques like Regression, Time Series, Markov Chains, and Monte Carlo Methods.
  • Academic experience with research and publication processes and/or technical writing skills a plus.
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