- 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.
- 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.
- 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-faceted data sets supporting analytics models and workflows.
- Proactively assess current capabilities to identify areas for improvement ' proposing solutions that align with core strategy and operation.
- Guide and produce information products, supporting visualization and data accessibility in a customer centric manner.
- Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety.
- Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
- Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.
- Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure the protection of employees, the public, and the environment. Takes actions necessary to 'stop' work when an unsafe condition or action is identified. Every employee has the right and responsibility to stop work when unsafe conditions or actions are identified.
- Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.
- Demonstrated initiative staying current on industry practice outside of study and training.
- Effectively lead team interaction, including meetings and collaboration, to resolve issues.
- Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.
- Proven mentoring ability to drive results and technical growth in peers.
- Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
- Demonstrated application of statistics, statistical modeling, and statistical process control.
- User experience mindset, including the production of visualizations and infographics to distill complex information.
- Experience producing analytics data visualizations, preferrably using Tableau, Microstrategy, or equivalent.
- Demonstrated experience working with Hadoop, Hive, Apache Spark, etc.
- Demonstrated experience with machine learning, neural networks, deep learning.
- Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.
- Demonstrated initiative staying current on industry practice outside of study and training.
- Effectively lead team interaction, including meetings and collaboration, to resolve issues.
- Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.
- Proven mentoring ability to drive results and technical growth in peers.
- Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
- Demonstrated application of statistics, statistical modeling, and statistical process control.
- User experience mindset, including the production of visualizations and infographics to distill complex information.
- Experience producing analytics data visualizations, preferrably using Tableau, Microstrategy, or equivalent.
- Demonstrated experience working with Hadoop, Hive, Apache Spark, etc.
- Demonstrated experience with machine learning, neural networks, deep learning.
- JOB ID: 789
- Remote Eligibility: On-Site
- Travel Required: 0-10%
- Hourly/Salary: Salary
- Relocation Available: No
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Sr Data Scientist - Kansas City, United States - Honeywell
Description
SummaryLead highly complex or critical data science projects that require a diverse array of data science applications. Responsible for leading problem analysis, customer interaction, solution design, front end and back end integration, maintenance, and support of data science and analytics solutions. Daily responsibilities include leading multiple, concurrent projects and/or supporting efforts of team members.
Duties and Responsibilities
