The Sr Data Scientist leads highly complex problem analysis, customer interaction, solution design, front-end and back-end integration, maintenance, and support of data science and analytics solutions for manufacturing or business applications.

• Independently develops data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications.
• Interfaces with multiple stakeholders and team members to improve predictability of business or manufacturing operations.
• Collaborates with internal web application development team accessible throughout KCNSC to incorporate established models into stakeholder daily decision-making processes.
• Partners with data science team to provide solutions to stakeholder challenges on a variety of topics.
• Stays current with relevant emerging technology to make recommendations on investment opportunities.
• Demonstrates project management skills, serving as project lead.
• Guides and produces information products, supporting visualization and data accessibility in a customer centric manner.

• At least five years relevant experience in data science or related technical activities.
• BS in engineering from ABET accredited institution OR Masters degree in data science or related field, OR two additional years of relevant experience.
• Ability to travel as determined by the needs of the business.
• Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business.
• Regular and reliable attendance is an essential function of this job.
• United States Citizenship.
• Ability to obtain and maintain, if required for position, a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations).

• Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.
• Expert in using scripting and querying languages, such as Python, R, SQL, and others.
• Demonstrated analytical skills, proficient with computer software applications, and the ability to produce and consume written documentation.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
• Demonstrated application of statistics, statistical modeling, and statistical process control.
• Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.
• Demonstrated experience working with Hadoop, Hive, Apache Spark, etc. Demonstrated experience with machine learning, neural networks, and deep learning.
• Big Data Experience preferred.

FMT2021