Michigan Work Location - Data Scientist [ No C2C/1099 candidates can be considered ]

This is a w2 contract position, with benefits and PTO.

Client does not allow Corp-to-Corp or 1099 candidates to be submitted.

Duration is open ended.

Role Title: Senior Data Science Engineer

This role is to work with the Data Science team to develop and deploy machine learning solutions of the enterprise application and data landscape.

The following functions are the responsibility of the Sr DS Engineer within Data Science Team.

Position Responsibilities:

• Responsibilities includes, but are not limited to the following:
• Design, build, deploy, monitor and support production deployment of data science solutions using Google Cloud solutions.
• Experience in data integration platforms using Python
• Knowledge of MySQL, Postgres, Kafka, Parquet files, BigQuery, Iceberg
• Research and implement ML algorithms and tools as a proof-of-concept and move it to the production-ready state
• Shows proficiency in Python, Deep Learning, Machine Learning, Neural Networks,
• Select appropriate datasets and data representation methods
• Optimize and transform data science prototypes/solutions for speed, reliability, and scale
• Experience with GitHub and GitLab
• Testing different platform stacks for performance and efficiency
• Strong command lines skills in Linux.
• Collaborate cross-functionally with domain experts to identify gaps and structural problems
• Present findings and discuss project results with business units
• Analyzing, extracting, and optimizing relevant information from large amounts of data to help drive business decisions on product features and operational efficiency
• SQL knowledge is must

Competencies:

• Knowledge of 10 + years of Python
• Data Management experience
• Deep knowledge of statistics and practical implementations of computational statistics
• Predictive modeling and algorithms
• Knowledge of reporting and data visualization

Educational Requirements:

• Bachelors Degree in Computer Science, Information Systems, Statistics, Applied Math or equivalent

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