Senior Data Scientist

Stott and May

United States

13 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$197,600.0 - $260,000.0

Working hours

Regular working hours

Job source

arc.dev

Tech stack

Data Analysis Microsoft Azure Python (Programming Language) Machine Learning Standard Sql Microsoft Fabric Tools for Reporting Databricks

Job description

Develop machine learning models and analytical solutions to solve business problems.
Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
Build predictive models for forecasting, optimization, and operational reporting.
Work with business stakeholders to understand requirements and translate them into data science solutions.
Collaborate with Data Engineers to prepare and transform data for modeling.
Present findings and recommendations to technical and non-technical audiences.
Support the deployment and ongoing improvement of machine learning models.

Requirements

5+ years of experience as a Data Scientist.
Strong Python and SQL skills.
Experience building and deploying machine learning models.
Hands-on experience with Azure Databricks.
Experience with Microsoft Fabric or other Microsoft analytics tools.
Experience working with Azure cloud services.
Strong understanding of statistics, predictive modeling, and data analysis.
Excellent communication and stakeholder management skills.

About the company

Our manufacturing client is looking for a Senior Data Scientist to help build data-driven solutions that improve operations and support business decision-making. You’ll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack., About Stott and May

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