7-10 years hands-on experience using Python for machine learning, with XGBoost, scikit-learn and NumPy/pandas.
Proficiency in PySpark for reading, transforming and analyzing large datasets stored in Parquet.
Experience validating or reverse engineering ML models from business logic or legacy implementations.
Exposure to Java-based ML libraries or understanding of how internals map across languages.
Requirements:
Interpret data transformation logic and validate feature pipelines from existing Java implementations.
Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks.
Collaborate with model validation teams to review performance, consistency and explain metric deviations if any.
Design unit tests and validation scenarios to support each migrated model’s readiness for signoff.
Job description
Job Description
Role – Data Scientist Location – Salt Lake City, UT /Remote Fulltime/FTE Salary - $120000 / Annum to $135000/Annum
Must Have Technical/Functional Skills: •7-10 years hands-on with Python for machine learning – especially XGBoost, scikit-learn and NumPy/pandas. •Proficiency in PySpark for reading, transforming and analyzing large datasets stored in parquet. •Experience in validating or reverse engineering ML models from business logic or legacy implementation. •Exposure to Java-based ML libraries or understanding of how internals map across languages. •Hands-on with Python frameworks for meta-modelling libraries.
Roles & Responsibilities:
•Interpret data transformation logic and validate feature pipelines from existing Java implementations. •Run Python-converted models on historical datasets and validate output metrics against Java model benchmarks. •Collaborate with model validation teams to review performance, consistency and explain metric deviations if any. •Design unit tests and validation scenarios to support each migrated model’s readiness for signoff. •Ingest model input data from parquet files using PySpark and pandas to reproduce training and scoring workflows. •Conduct EDA and spot-check row-level predictions where needed Collaborate with the customer team to •understand the logic, structure and parameters of the Java-based XGBoost models.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
