Data Scientist Lead
2 weeks ago
We are seeking a highly skilled Data Scientist to lead our analytics direction and drive business growth at Carhartt. As a key member of our team, you will be responsible for developing and implementing data-driven strategies to optimize our business operations.
Key Responsibilities- Lead complex machine learning projects, including planning, execution, and monitoring, while effectively coordinating with cross-functional teams.
- Identify opportunities for leveraging data to drive business solutions and strategies, and implement data-driven initiatives that result in significant cost reduction, revenue enhancement, or process improvement.
- Develop reproducible machine learning pipelines that follow the principles of coding.
- Present complex results and architecture internally to IT peers, effectively translating technical details into clear, understandable concepts for a diverse audience within the organization.
- Define architecture of machine learning, AI and advanced analytics projects, including delivery method, technology decisions, dependencies, scope, cost, data procurement needs, and time.
- Work hands-on with end users and stakeholders of final product. Create a successful engagement model and ensure that end results are applicable, understood, socialized, and drive business value. As part of this, driving regular show and tells for releases.
- Serve as an expert in the field. Mentor peers by actively participating in code and architecture reviews and offering training to data scientists and analysts.
- 8+ years' experience in and solid knowledge of analytics and data mining techniques including the following:
- 5+ years' applied data science implementation experience in a business setting.
- 5+ years' experience working with Python for modeling and data processing.
- 3+ years' experience working with data visualization (Streamlit or Power BI).
- 2+ years' experience working with Databricks preferred.
- 2+ years' experience working with Deep Learning frameworks (Keras, TensorFlow, PyTorch).
- 1+ years' experience working with Azure (Storage Account, Functions, Web Apps) preferred.
- Advanced proficiency pulling and manipulating data. Strong, demonstrated working knowledge of relational databases, SQL query language, time series and unstructured datasets.
- Knowledge or curiosity of leveraging and working with large language models.
- Strong understanding of CI/CD.
- Sophisticated understanding of big data problems, preferably in the retail/CPG domain.
- Intermediate business knowledge. Deep level of understanding in one or two primary areas, with a demonstrated aptitude for curiosity and increased learning.
- Positive, can-do attitude; ability to be flexible and open to changes in requirements, directions or circumstances with minimal need for reorientation.
- Proactive and self-motivated with an orientation towards delivering analytics products that move the business.
- Ability to work effectively as part of a team, and with all levels of management (senior executives to more entry-level staff).
- Strong leadership and change management skills.
- Strong project management skills.
- Demonstrated success in working with and influencing stakeholders, business partners cross-functionally.
- Office Environment
- Ability to sit and/or stand for extended periods of time
- Willing to work some weekends if necessary
- Remote location: Associate will have no regular requirement to be on-site. Travel on-site is limited to special events.
- Tobacco Free
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