Found Description
Requirements
Strong applied data science experience (roughly 4+ years), with a track record of shipping models that made it into a real product
Explicit jobs-and-skills or workforce data experience, OR experience with closely related data where there is a clear pathway to apply it to workforce problems (this is a firm criterion for the role)
Fluency in Python and SQL, and solid grounding in machine learning, NLP, and recommendation/matching techniques
Comfort working with large, imperfect datasets and making sound judgment calls about them
Clear communication: you can explain a model and its tradeoffs to a non-technical audience
(Desirable) Experience with recommender systems, ranking, or search at scale
(Desirable) Familiarity with skills/occupation frameworks (e.g. O*NET, ESCO) or HR/labor market data
(Desirable) Experience pairing classical ML with LLMs, including where to use each and how to add guardrails
...
Strong applied data science experience (roughly 4+ years), with a track record of shipping models that made it into a real product
Explicit jobs-and-skills or workforce data experience, OR experience with closely related data where there is a clear pathway to apply it to workforce problems (this is a firm criterion for the role)
Fluency in Python and SQL, and solid grounding in machine learning, NLP, and recommendation/matching techniques
Comfort working with large, imperfect datasets and making sound judgment calls about them
Clear communication: you can explain a model and its tradeoffs to a non-technical audience
(Desirable) Experience with recommender systems, ranking, or search at scale
(Desirable) Familiarity with skills/occupation frameworks (e.g. O*NET, ESCO) or HR/labor market data
(Desirable) Experience pairing classical ML with LLMs, including where to use each and how to add guardrails
...