We are seeking a Data Scientist for a 12-month contract position, working remotely. You will apply data science and machine learning expertise to solve real-world problems, including record matching, NLP applications, and data quality challenges.
Responsibilities
Build, validate, and deploy machine learning models for production use cases
Perform feature engineering and develop approaches to model explainability
Apply NLP techniques such as sentiment analysis and topic modeling to business workflows
Implement and validate AI and LLM tooling in real operational contexts
Design and execute entity resolution and probabilistic record-matching solutions
Conduct data quality analysis and remediation
Collaborate with data engineering teams on model productionization and handoff to production systems
Work with modern cloud data warehouses and data lake environments
Qualifications
Required
Degree in a quantitative field such as data science, statistics, computer science, or applied mathematics, or equivalent professional experience
2–3 years of professional experience using Python and SQL for data analysis, machine learning, NLP, data quality, and record-matching applications
Strong proficiency in Python for data science and machine learning, including libraries such as pandas and a modeling stack
Proficiency in SQL
Demonstrated experience building and validating machine learning models, including feature engineering and model explainability techniques
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Experience with NLP techniques such as sentiment analysis and topic modeling
Experience applying AI and LLM tooling to real workflows with output validation
Experience with entity resolution and probabilistic record matching
Experience with data quality analysis
Familiarity with modern cloud data warehouses and data lakes
Ability to collaborate with data engineering teams on production deployment