Overview
On Site
Full Time
Skills
Analytical Skill
Business Process
Workflow
Manufacturing
Supply Chain Management
Accounting
Project Scoping
Collaboration
Microsoft Azure
Databricks
Snow Flake Schema
Scalability
Regulatory Compliance
Data Governance
Privacy
Management
Mentorship
Advanced Analytics
Leadership
Programming Languages
Data Manipulation
Data Science
Python
SQL
PySpark
Machine Learning (ML)
Deep Learning
Optimization
Statistical Models
Generative Artificial Intelligence (AI)
Artificial Intelligence
Cloud Computing
Amazon Web Services
Data Visualization
matplotlib
Plotly
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Return On Investment
Analytics
Communication
Manufacturing Operations
Supply Chain Optimization
Enterprise Resource Planning
Job Details
Job Description
As a Senior Data Scientist, you will:
SUGGESTED QUALIFICATIONS
As a Senior Data Scientist, you will:
- Partner with business leaders to identify high-value opportunities, formulate requirements and rationalize analytical approaches to solve them
- Develop a firm understanding of specific business processes and real-world workflows, which may include manufacturing, supply chain, accounting and other related functions
- Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
- Lead data science initiatives that impact operations across multiple business units and global regions
- Define project scope, timelines and deliverables in collaboration with business leaders
- Architect scalable machine learning and AI solutions within cloud platforms such as AWS, Azure, Databricks, and Snowflake
- Ensure models are production-ready, robust, and maintainable with appropriate monitoring and retraining pipelines
- Develop standardized methodologies and frameworks to ensure scalability and consistency across diverse environments
- Ensure compliance with data governance, privacy, and security standards while scaling analytics solutions globally
- Manage and mentor interns, junior data scientists and analysts.
- Present clear, compelling visualizations and executive summaries tailored to non-technical audiences
- Translate advanced analytics results into strategic recommendations for VP and C-level leadership
- Utilize programming languages such as SQL, Python for data manipulation, analysis and model development
SUGGESTED QUALIFICATIONS
- Master's degree in a quantitative discipline
- Five or more years of professional data science experience, with a track record of leading high-impact projects
- Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
- Advanced proficiency in Python, SQL and PySpark
- Deep expertise in machine learning, deep learning, optimization, and statistical modeling
- Familiarity with emerging trends such as generative AI and responsible AI
- Experience deploying enterprise-scale solutions in cloud environments (AWS experience preferred)
- Proficient in at least one data visualization library such as Matplotlib, Seaborn, or Plotly
- Knowledge of Streamlit for building interactive data applications preferred
- Familiarity with MLOps practices, CI/CD pipelines, and model lifecycle management
- Demonstrated ability to drive business impact and ROI through analytics
- Strong track record of executive-level communication and influence
- Experience leading cross-functional teams across multiple geographies
- Strong understanding of manufacturing operations, supply chain optimization and ERP systems
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.