Parker B Associates
Senior Data Scientist
Location: Michigan
Type: Permanent
Salary: $150,000 – $185,000 + Bonus
Our client is a global Financial Services business looking for a Senior Data Scientist to join the team permanently.
Wouldn’t it be great to work on data projects that have a big impact?
This is an exciting opportunity to lead the development of statistical models and conduct analyses that directly support the organisation's sales and growth initiatives.
Responsibilities:
Build, maintain, and automate predictive and analytical models.
Recommend marketing distribution strategies by leveraging data and model insights.
Perform advanced exploratory data analysis.
Use key metrics to evaluate and optimise model performance.
Ensure adherence to data privacy and compliance standards, including GDPR and CCPA.
Analyse model effectiveness and campaign performance.
Forecast campaign outcomes using predictive models and validate forecasts.
Collaborate with data architects and engineers.
Design, develop, and maintain robust data pipelines.
A full job spec will be provided upon request.
Skills/Experience:
Python or R
SQL
Machine Learning and Generative Artificial Intelligence
Cloud platforms (AWS, Azure, Google Cloud)
Big data technologies (Spark, Hadoop)
Data visualisation tools (Power BI, Tableau, etc.)
If interested or for further information, please apply as soon as possible.
Keywords: Data Scientist, Data Science, Machine Learning Engineer, AI Engineer
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Type: Permanent
Salary: $150,000 – $185,000 + Bonus
Our client is a global Financial Services business looking for a Senior Data Scientist to join the team permanently.
Wouldn’t it be great to work on data projects that have a big impact?
This is an exciting opportunity to lead the development of statistical models and conduct analyses that directly support the organisation's sales and growth initiatives.
Responsibilities:
Build, maintain, and automate predictive and analytical models.
Recommend marketing distribution strategies by leveraging data and model insights.
Perform advanced exploratory data analysis.
Use key metrics to evaluate and optimise model performance.
Ensure adherence to data privacy and compliance standards, including GDPR and CCPA.
Analyse model effectiveness and campaign performance.
Forecast campaign outcomes using predictive models and validate forecasts.
Collaborate with data architects and engineers.
Design, develop, and maintain robust data pipelines.
A full job spec will be provided upon request.
Skills/Experience:
Python or R
SQL
Machine Learning and Generative Artificial Intelligence
Cloud platforms (AWS, Azure, Google Cloud)
Big data technologies (Spark, Hadoop)
Data visualisation tools (Power BI, Tableau, etc.)
If interested or for further information, please apply as soon as possible.
Keywords: Data Scientist, Data Science, Machine Learning Engineer, AI Engineer
#J-18808-Ljbffr