Scribd is hiring a
Data Scientist II

Summary

The job is for a Data Scientist at Scribd's Applied Research team who will focus on content classification use cases using various machine learning models. The role requires 2-3 years of experience in developing and deploying machine learning models, intermediate level or greater experience with SQL or Spark, intermediate to advanced knowledge in several fields related to data science, a bachelor's or master's degree in a relevant quantitative discipline, and a keen interest in solving business problems.

Requirements

• 2-3 years of experience of developing and deploying machine learning models
• Intermediate level or greater experience with SQL or Spark
• Intermediate to advanced knowledge in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, computer vision, bayesian statistics or frequentist statistics
• A keen interest in learning what’s necessary to solve a business problem and make a positive business impact
• Bachelors or Masters in relevant quantitative discipline (e.g. Computer Science, Software Engineering, Data Science, Machine Learning, Artificial Intelligence, Computational Linguistics, Mathematics, Statistics, Economics)

Responsibilities

• Investigate methods of solving Scribd's most challenging problems at scale
• Collaborate with other Data Scientists and Machine Learning Engineers to operationalize data science projects
• Leverage any algorithm at your disposal: from classical Scikit-learn and NumPy models to custom Neural Networks in PyTorch to third party LLM APIs
• Process massive amounts of data with Python, SQL and Spark
• Educate stakeholders through written and verbal communications methods on the approaches and results of projects, while writing detailed, accurate and concise project write ups

Benefits

• Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
• 12 weeks paid parental leave
• Short-term/long-term disability plans
• 401k/RSP matching
• Tuition Reimbursement
• Learning & Development programs
• Quarterly stipend for Wellness, Connectivity & Comfort
• Mental Health support & resources
• Free subscription to Scribd + gift memberships for friends & family
• Referral Bonuses
• Book Benefit
• Sabbaticals
• Company wide events
• Team engagement budgets
• Vacation & Personal Days
• Paid Holidays (+ winter break)
• Flexible Sick Time
• Volunteer Day
• Company-wide Diversity, Equity, & Inclusion programs