Data Scientist

Standard & Poors

Full Time New York, New York, United States Posted 2 years ago

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About Position

Data Scientist (Full Time)

$0.00 / Hourly

New York, New York, United States

Data Scientist

Full Time New York, New York, United States Posted 2 years ago

Skills
· Possess excellent verbal & written communication skills · Expertise in application data and infrastructure architecture disciplines · Advanced knowledge of architecture and design across all systems · Proficiency in multiple machine learning programming languages including Python PySpark or Scala · 4+ years of experience with big-data technologies such as Hadoop Spark SparkML etc · Able to understand various data structures and common methods in data transformation · Knowledge of industry-wide technology trends and best practices · Ability to work in large collaborative teams to achieve organizational goals · Passionate about building an innovative culture · Familiarity with MLOps and ModelOps · Docker Kubernetes AWS Python Familiarity with or clear interest in learning about financial Markets.
Description

Construct machine learning lifecycle management including data collection, normalization, and standardization within a data pipeline construction
· Develop AutoML infrastructure for model selection and hyperparameter tuning
· Create applications and interface to present the output of ML models
· Experiment, develop and productionize high quality machine learning services and platforms to make huge technology and business impact.
· Develop hosting platform for machine learning models.
· Create pipelines to query and retrieve and update data for existing applications to keep them updated
· Supervise the scaling and management of the machine learning modeling ecosystem
· Work alongside data scientists and product owners to improve aspects of their lines of business through machine learning

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Job Summary

Full Time

New York, New York, United States

Experience Level : Medium

Only Any

Posted : 2 years ago

Deadline : September 19, 2022 2 years ago

Job ID : 813947LCPPYQS

Standard & Poors

55 Water Street

www2.standardandpoors.com