Data Scientist II
Ottawa, Ontario, CanadaAll locationsOttawa, Ontario, CanadaSan Francisco, California, United StatesPhoenix, Arizona, United StatesToronto, Ontario, CanadaLos Angeles, California, United StatesDenver, Colorado, United StatesSalt Lake City, Utah, United StatesAtlanta, Georgia, United StatesChicago, Illinois, United StatesHouston, Texas, United StatesPortland, Oregon, United StatesNew York City, New York, United StatesVancouver, British Columbia, CanadaSan Diego, California, United StatesWashington, D.C., Washington, D.C., United StatesSacramento, California, United StatesJacksonville, Florida, United StatesSeattle, Washington, United StatesMexico City, MexicoAustin, Texas, United States On-site
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About the role
We are seeking a Data Scientist II with experience developing and deploying machine learning models. You will help design and implement high impact AI and ML systems. We work in cross-functional teams collaborating with Machine Learning Engineers, Data Engineers and Product. We are seeking a curious and collaborative individual with an eye for simplicity, end-end visibility and impact and that is excited about building models using massive amounts of data, using language models and deploying models.
What you'll bring
- 3+ years of post qualification experience developing machine learning models, working with systems at scale and deploying to production environments.
- Proficiency in Python.
- Hands-on experience building ML pipelines and working with distributed data processing frameworks like Apache Spark, Databricks, or similar.
- Intermediate level in at least three of these fields: classification algorithms, natural language processing, search, information retrieval, named entity recognition, deep learning, generative models.
- Intermediate level or greater experience with SQL or PySpark.
- Bachelors or Masters in relevant quantitative discipline including but not limited to Statistics, Computer Science, Data Science, Artificial Intelligence or another field with a strong quantitative focus.
- At Scribd, your base pay is one part of your total compensation package and is determined within a range.
- Our pay ranges are based on the local cost of labor benchmarks for each specific role, level, and geographic location.
- San Francisco is our highest geographic market in the United States.
- We carefully consider a wide range of factors when determining compensation, including but not limited to experience
- job-related skill sets
- relevant education or training