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Benefits offered by this job
Annual discretionary incentive bonus
Medical, dental & vision coverage
401(k)
Life, accident, disability insurance
Wellness programs
Paid time off packages
Job summary
A data-driven analytics firm in New York is seeking a skilled Data Scientist to develop AI/ML models and enhance data pipelines. The ideal candidate will have strong Python and PySpark skills while being experienced in statistical analysis and machine learning methods. The role involves crafting automated workflows, ensuring data integrity, and evaluating new datasets. An attractive salary range of $90,000-$175,000 USD annually is offered, along with comprehensive benefits and bonuses for employees.
Qualifications
Expertise in Python for developing data pipelines and models.
Strong understanding of PySpark and distributed data workflows.
Knowledge of multivariate statistical methodologies.
Familiarity with cloud storage solutions, preferably AWS.
Responsibilities
Develop automated workflows for data analysis and forecasting.
Create and maintain data ingestion pipelines using Databricks and Spark.
Process and validate data integrity for analytical use.
Evaluate and test new datasets for integration.
Skills
Advanced Python for data processing
Fluency in PySpark/Spark
Multivariate statistical analysis
Machine Learning methods
Knowledge of LLMs
Named entity resolution
Cloud data platforms (AWS)
Job description
A data-driven analytics firm in New York is seeking a skilled Data Scientist to develop AI/ML models and enhance data pipelines. The ideal candidate will have strong Python and PySpark skills while being experienced in statistical analysis and machine learning methods. The role involves crafting automated workflows, ensuring data integrity, and evaluating new datasets. An attractive salary range of $90,000-$175,000 USD annually is offered, along with comprehensive benefits and bonuses for employees.