Senior Data Scientist

Houston, TX, US • Posted 30+ days ago • Updated 1 hour ago

Full Time

On-site

Fitment

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Job Details

Skills

Demand Planning
Production Planning
Procurement
Financial Forecast
Business Process
Workflow
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
Manufacturing
Supply Chain Management
Enterprise Resource Planning
Order To Cash
Procure-to-pay
Python
SQL
PySpark
Machine Learning (ML)
Forecasting
Optimization
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

Summary

Job Description

Reports to: VP Data & Analytics

As a Senior Data Scientist, you will:

Partner with business leaders to identify high-value opportunities in areas such as demand planning, capacity/production planning, procurement, and financial forecasting
Develop a firm understanding of specific business processes and real-world workflows
Work closely with cross-functional teams including domain experts, business analysts, data engineers and software engineers
Lead data science initiatives that impact operations globally across multiple business units
Define project scope, timelines and deliverables in collaboration with business leaders
Architect scalable machine learning and forecasting 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
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 in manufacturing and/or supply chain environments
Hands-on experience working with ERP data and operational processes including order-to-cash, procure-to-pay, and demand-to-deliver
Proven ability to communicate complex or technical concepts clearly to both technical and non-technical audiences
Advanced proficiency in Python, SQL and PySpark; experience wrangling large relational datasets
Deep expertise in machine learning, forecasting and optimization
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

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.

Dice Id: 90887153
Position Id: 306134a0ae5dffd190be22a1237b00c3
Posted 30+ days ago

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Senior Data Scientist

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Job Details

Skills

Summary

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