Data Scientist

Job Title: Senior Data Scientist

Job Purpose

The organization's digital and technology team is focused on delivering world-class digital capabilities across products and services. Leveraging IoT, advanced analytics, and AI, the team works with large-scale connected asset data to drive innovation and business value.

The Advanced Data Quality team is seeking a Senior Data Scientist to improve platform data quality by defining metrics, performing root cause analysis, and developing machine learning/AI solutions. This role involves working with large, diverse datasets and supporting internal stakeholders with analytics and insights.

Key Responsibilities

Core Responsibilities

• Design, develop, and maintain data quality dashboards and enterprise-level reports
• Provide analytics support to high-visibility data initiatives and projects
• Generate insights and recommendations for designers, product owners, and leadership
• Independently handle medium to high complexity projects
• Manage and contribute to multiple projects simultaneously (2–3 at a time)

Technical & Functional Duties

• Design, develop, test, and deploy machine learning models and data science solutions
• Perform root cause analysis on data quality issues
• Work with large-scale structured and unstructured datasets
• Build and integrate models into data pipelines
• Develop visualizations and dashboards using BI tools

Leadership & Collaboration

• Mentor junior team members and provide technical guidance
• Maintain high standards of software quality and best practices
• Identify process improvements and innovation opportunities
• Collaborate effectively with cross-functional teams
• Communicate insights to both technical and non-technical stakeholders

Additional Responsibilities

• Support critical production issues, including off-hours if required
• Conduct integration testing and user acceptance testing
• Maintain technical and functional documentation
• Ensure data solutions meet accuracy, integrity, and completeness standards

Basic Qualifications

• Bachelor's or Master's degree in:
• Data Science, Computer Science, Engineering, Statistics, Mathematics, Finance, or related field
• 7+ years of software development experience
• (or 5+ years with a Master's degree)
• 5+ years of experience in:
• Data processing and machine learning frameworks
• Python programming and database technologies (NoSQL & relational)
• 3+ years of SQL experience

Preferred Qualifications

• Master's degree in a quantitative discipline
• Experience with:
• Cleaning and standardizing complex datasets
• Handling structured and unstructured data
• Building machine learning models:
• Classification and regression
• Unsupervised learning
• Strong understanding of:
• Statistical methods
• Data analytics techniques
• Data management principles

Technical Skills (Preferred)

• Cloud platforms (AWS preferred):
• Athena, Glue, DynamoDB, EC2, EMR, RDS, S3, SageMaker
• Snowflake data warehouse
• Visualization tools:
• Tableau, Power BI
• Experience deploying ML models into production environments