Data Scientist

Parker B Associates; Michigan; On-site; USD 150,000 - 185,000; Full time

Job summary

A global Financial Services business is seeking a Senior Data Scientist to lead the development of statistical models and analyses that support sales and growth. This permanent role offers the chance to work on impactful data projects and collaborate with data engineers.

Responsibilities

• Build, maintain, and automate predictive and analytical models.
• Recommend marketing distribution strategies using data insights.
• Ensure adherence to data privacy and compliance standards.

Skills

Python

SQL

Machine Learning

Generative Artificial Intelligence

Data visualisation

Tools

AWS

Azure

Google Cloud

Spark

Hadoop

Power BI

Tableau

Job description

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:

1. Build, maintain, and automate predictive and analytical models.
2. Recommend marketing distribution strategies by leveraging data and model insights.
3. Perform advanced exploratory data analysis.
4. Use key metrics to evaluate and optimise model performance.
5. Ensure adherence to data privacy and compliance standards, including GDPR and CCPA.
6. Analyse model effectiveness and campaign performance.
7. Forecast campaign outcomes using predictive models and validate forecasts.
8. Collaborate with data architects and engineers.
9. Design, develop, and maintain robust data pipelines.

A full job spec will be provided upon request.

Skills/Experience:

1. Python or R
2. SQL
3. Machine Learning and Generative Artificial Intelligence
4. Cloud platforms (AWS, Azure, Google Cloud)
5. Big data technologies (Spark, Hadoop)
6. 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