Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- Senior Data Scientist leading data science initiatives impacting global operations across various business units. Collaborating with cross-functional teams to architect scalable machine learning solutions in cloud environments.
Responsibilities
- 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
Requirements
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
Clinical Data Manager supporting research projects and managing patient databases at Mass General Brigham. Interact with patients and maintain data integrity in clinical research.
Technical Lead in Data Science guiding analytical systems design and team mentorship for a finance technology company. Collaborating across engineering and research to drive innovation and data excellence.
Technical Lead in Data Science at Voleon, driving the design and implementation of analytical systems. Mentoring a growing team of data scientists while ensuring methodological rigor in finance applications.
Data Scientist developing analytical solutions for customer data transformation and supporting critical business decisions. Focus on quality and integrity of data through statistical models and analysis.
Junior Data Scientist developing demand forecasting models for Nestlé’s Supply Chain team. Collaborating with analysts and planners to improve forecasting tools and processes.
HCM Data and Process Analytics Lead at ABB building business intelligence for HCM solutions. Analyzing data to drive improvements in performance and data quality across the organization.
Data Scientist owning and delivering production - grade data pipelines at Simbe Robotics. Collaborating with Product Management, Engineering, and Commercial teams to surface insights from retail data.