Data Scientist

Overview

Applies knowledge of the Data Science and Analytics area to perform tasks and support the management of processes/projects under some supervision. May influence associates by demonstrating best practices and techniques to ensure accuracy, timeliness, and achievement of functional and organizational standards.

Responsible for creating data mining algorithms/architectures/models/protocols, statistical reporting, and data analysis to identify trends in large data sets, based on scientific methodologies.

Responsibilities

This job works under moderate supervision to execute relatively complex tasks for the Data Science and Advanced Analytics area, applying broad knowledge to perform more complex analysis within area of expertise.
Organizes data collection efforts by coordinating with various departments to ensure that relevant data is accurately gathered for analysis, supporting decision-making across areas such as market economics and supply chain management.
Collaborates with data engineers to design and optimize data architectures that facilitate efficient data processing and analysis.
Analyzes data trends and patterns to provide insights that inform marketing strategies and operational improvements, contributing to the overall effectiveness of business initiatives.
Monitors the performance of existing analytics systems, tracking key metrics to ensure they are functioning effectively and providing reliable insights for decision support.
Assists in the deployment of data visualization tools to create interactive dashboards that provide real-time insights to business users.
Supports the development of analytical models by assisting in the preparation and cleaning of datasets, ensuring that data is ready for analysis and meets quality standards.
Helps streamline area processes, employing and communicating best practices and methods that align with the overall functional and business strategy to ensure achievement of organizational standards of excellence.

Additional Skillset - Video Conference & Event Support:

Support video conferencing platforms (Zoom, Microsoft Teams, Webex, etc.)
Assist with town halls, executive meetings, and live events
Perform pre-event testing and provide live technical support
Troubleshoot audio, video, and connectivity issues

Qualifications

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Information Technology, or related field
2–5 years of experience in data science, analytics, or related roles
Proficiency in Python or R, Strong SQL skills
Experience with Power BI dashboards and reporting
Understanding of statistics and machine learning fundamentals

Data Scientist

Key Skills

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