Lead Data Scientist (2759)
Lead Data Scientist (2759)
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Job Description
Join the industry leader to design the next generation of breakthroughs.
Innovate to solve the worlds 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 129000 employees worldwide including more than 19000 engineers and scientists Honeywell has an unrelenting focus on quality delivery value and technology in everything they make and has been named a Top 100 Global Innovator for seven years in a row recognizing the companys 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 Administrations (NNSA) Kansas City National Security stateoftheart engineering manufacturing and sourcing facility produces a wide array of intricate components to deliver trusted national security products and government services primarily for the FM&Ts 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
As a Lead Data Scientist Assurance Analyst for Secure Systems Engineering Services you will lead or coordinate highly complex or enterprise critical data science projects that require extensive expertise and knowledge in the data science field. Responsible for leading problem analysis customer interaction solution design front end and backend integration maintenance and support of data science and analytics solutions. You will lead a highly complex data science and analytics projects to identify analyze and prioritize malicious activities and threat vectors as observed within supply chains technologies and nuclear weapons production activities. As a Data Scientist you will effectively communicate formal assessments to decision makers and stakeholders in order to drive effective risk management measures. Job functions will include building AI/ML strategy for the program including building applications and products to analyze data for projects and initiatives.
Duties and Responsibilities
- Develop program strategy focused on AI & machine learning applications
- Evaluations Conduct analysis of current active threats and vulnerability vectors within active infrastructure.
- Integration Develop data analysis integration tools and processes for Threat Vulnerability Digital Assurance OT technology development supply chain/strategic sourcing and external partners. Work with partners for collaboration points strategic initiatives and programs.
- Metrics & data integration Providing dashboard analysis and synthesize data for decision makers and key stakeholders in initiatives.
- Tool Development Inform and advise for the development of AI/ML tools and applications for utilization within the program.
- Lead highly complex data science and analytics projects in support of process improvement defect reduction and predictive analytics for manufacturing and business applications.
- Demonstrated project management skills serving as project lead guiding less experienced team members in multiple facets of project execution.
- Research test and implement solutions that advance innovation and processes related to data science in support of business goals.
- Work directly with customers and business partners to prioritize investment in processes people capability and maintain and publish roadmaps covering assigned technical areas of responsibility.
- Accountable for team adherence to ingestion data preparation curation and governance policies in support of complex analytics models and workflows.
- Serve as technical lead on large complex to create and present executable plan with risk factors identified.
- Evaluate and make recommendations regarding technical advances that improve productivity and quality reduce flow times and enhance operational surety.
- Accountable for guidelines and standards for analytics and machine learning models their deployment and associated processes.
You Must Have
- BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field.
- Seven or more years of relevant experience in data science or related technical activities.
- Ability to travel up as determined by the needs of the business
- Ability to work remote hybrid or onsite 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)
We Value
- Machine Learning Tools (TensorFlow PyTorch Scikitlearn)
- Traditional Machine Learning Algorithms (Linear and logistic regression nave bayes decision tree random forest KNN Kmeans clustering)
- Natural Language Processing
- Experience with deployment of ML Models
- Neural Network/Deep Learning knowledge
- Ability to understand and communicate on a broad array of technical and business issues developing innovative and effective solutions.
- Expert using scripting and querying languages such as Python R SQL and others.
- Expert in serving as a technical lead in support of large complex projects.
- Demonstrated analytical skills proficient with computer software applications and the ability to produce and consume written documentation.
- Demonstrated initiative staying current on industry practice outside of study and training with a high and broad level of industry knowledge.
- Expert working knowledge of statistics statistical modeling and statistical process control.
- Proven mentoring ability to guide initiatives results and technical growth in peers.
- Highly capable communicator (verbal written and presentation) interacting with customers peers and management.
- Experience producing analytics data visualizations preferrably using Tableau Microstrategy or working with Hadoop Hive Apache Spark machine learning neural networks deep learning .
FMT2021
This job description/job posting is not all inclusive and other duties may be assigned.
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 tosubmit an application please send an emailto our Reasonable Accommodation Support Team at .
To learn more about our benefits and culture follow the link below:
Information:
- Job ID:2759
- Category: Engineering
- Level of Experience:Experienced Professional
- Posting Location:Kansas City National Security Campus14520 Botts RoadKansas CityMO64147
- Remote Eligibility:Hybrid
- Travel Required:1025%
- Approved Work States:MO
- Hourly/Salary: Salary
Employment Type
Full Time
