What You'll Do
Design and validate experimental models to support new product concepts, translating research into tangible features. Build and maintain machine learning systems that enhance how recruiters and job seekers understand candidate fit and career pathways. Deliver clear, data-driven insights through scalable, production-grade solutions.
Monitor model performance in live environments and implement iterative improvements. Guide data strategy discussions around storage, processing, and system design, helping shape long-term infrastructure choices. Champion best practices in data usage across teams and support technical planning for efficient project rollouts.
Requirements
- Advanced degree in Statistics, Applied Mathematics, Computer Science, or a related discipline
- Minimum of three years in senior data science roles
- Proven background in cleaning and structuring unstructured text data and building NLP pipelines
- Hands-on experience creating recommendation engines or systems relevant to career or talent matching
- Fluency in Python, with strong use of Numpy, Pandas, Scikit-Learn, and Tensorflow
- Ability to extract and manipulate data from both SQL and NoSQL databases
- Excellent written and spoken English communication skills
Preferred Qualifications
- Commitment to writing clean, tested, and maintainable code
- Familiarity with graph databases, semantic data modeling, or knowledge representation systems
- Experience using Apache Spark or AWS EMR for large-scale data processing
- Background deploying data applications across varied environments
- Solid understanding of data pipeline construction and automation
Benefits
- Competitive salary and generous equity package
- Clear paths for professional growth
- Supportive, team-oriented workplace
- Casual atmosphere that welcomes dogs
- Culture that values dedication and balanced engagement
