Sr Data Scientist

Join the industry leader to design the next generation of breakthroughs. Innovate to solve the world's most important challenges. Honeywell is a Fortune 100 company that invents and manufactures technologies to address critical challenges linked to global macrotrends such as safety, security, productivity, global urbanization and energy. With approximately 129,000 employees worldwide, including more than 19,000 engineers and scientists, Honeywell has an unrelenting focus on quality, delivery, value, and technology in everything they make and do. Honeywell has been named a Top 100 Global Innovator for seven years in a row, recognizing the company’s global reach of portfolio and invention influence. In Kansas City, Honeywell Federal Manufacturing & Technologies (FM&T) manages and operates the U.S. Department of Energy/National Nuclear Security Administration’s (NNSA) Kansas City National Security Campus. This state‑of‑the‑art engineering, manufacturing and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the NNSA. Honeywell FM&T’s culture of integrity, commitment and continuous improvement enables them to deliver responsive, collaborative and innovative management and technology services and products that translate into cutting edge solutions to complex national security issues. Summary 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. This position is part of the Data Science and Analytics team responsible for a variety of complex, high level operations to support applications utilizing big data. Individual will lead complex data science projects that require skill in a diverse array of data science applications and play a key role in shaping system architecture to ensure application stability and scalability. A successful candidate will have a strong foundation in big data platforms, machine learning, and development processes. Duties and Responsibilities Lead and support moderate to highly complex data science projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications. Independently develop 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. Integrate sustainable business improvements for AI/ML using Hadoop Big Data environment. Interface with multiple stakeholders and team members to improve predictability of business or manufacturing operations. Collaborate with internal web application development team accessible throughout KCNSC to incorporate established models into stakeholder daily decision‑making processes. Work directly with customers and business partners to develop requirements, and provide technical solutions through an analysis of manufacturing/business needs and pain points. Define and implement ingestion, data preparation, curation, and governance of large, multi‑faced data sets supporting analytics models and workflows. Stay current with relevant emerging technology to make recommendations on investment opportunities. Demonstrate project management skills, serving as project lead. Guide and produce information products, supporting visualization and data accessibility in a customer‑centric manner. You Must Have At least five years relevant experience in data science or related technical activities. BS in engineering from an ABET accredited institution or Bachelor of Science 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, determined by 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). We Value 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 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. Additional Information Job ID: 3655 Category: Engineering Level of Experience: Experienced Professional Posting Location: Kansas City National Security Campus, 14520 Botts Road, Kansas City, MO 64147 Remote Eligibility: Hybrid Travel Required: 0-10% Approved Work States: MO; KS Hourly/Salary: Salary Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status. If you require a reasonable accommodation to submit an application, please send an email to our Reasonable Accommodation Support Team at This job description/job posting is not all inclusive and other duties may be assigned. FMT2021 #J-18808-Ljbffr