Paper is looking for a Lead Data Scientist to join the growing R&D and Data Science team. In this role, you will be responsible for managing technical aspects of data science projects to ensure the success of delivered solutions. You will spend a significant amount of time designing, planning and executing technical solutions. You will work closely with our applied research scientists and engineers across the organization. You must be self-directed and comfortable providing guidance on applied research projects in Analytics and Machine Learning domains. You are eager to collaborate with a wide range of stakeholders and functional teams. The ideal candidate will have a strong background in mathematics/statistics/computer science or a related field.

This position can be located in any geography in the US or Canada.

Responsibilities:

• Identify strategic technical objectives and lead data science technical roadmaps from ideation to implementation.
• Improve the technical quality of the codebase via developing quality standards, leading training sessions, and enforcing code review processes.
• Work with stakeholders throughout the organization to identify roadblocks and execute to unblock technical hurdles.
• Mentor and coach data scientists on the team by providing direct feedback or comments in code reviews as well as leading pair sessions.
• Lead rituals such as planning and retrospective meetings and backlog grooming to ensure consistent velocity.
• Manage the team’s workload by controlling technical debt.
• Collaborate with different functional teams and communicate technical and non-technical decisions.

Qualifications:

• 5-7 years of experience in data analytics and building statistical models, with a Master’s or Ph.D. in Statistics, Mathematics, Computer Science or another quantitative field.
• +2 years of experience leading highly technical and analytical teams. 
• Proficiency in Python and Data science libraries including Numpy, SciPy, Pandas, Scikit-Learn, Tensorflow, Pytorch, MatplotLib and Seaborn (R and Matlab are a plus).
• Experience manipulating data and drawing insights from large data sets.
• Solid knowledge of production infrastructure and pipelines for Data science solutions.
• Knowledge of a variety of machine learning techniques (supervised and unsupervised, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience working with and creating data architectures.
• Knowledge of GCP cloud services.
• Experience visualizing/presenting data for business stakeholders.
• Strong problem-solving skills with an emphasis on product development.
• A drive to learn and master new technologies and techniques.
• Excellent written and verbal communication skills for coordinating across teams.

Job perks:

• Work with a dynamic team that provides support whenever you get stuck.
• Remote first environment.
• Annual company-wide meetup.
• Opportunity for career development with a fast-growing company.
• A unique opportunity to make an impact by making education more equitable.
• Stipend to help support the growth of your home office.
• 24/7 access to Paper for family members K-12.  

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