Data Scientist II (4890)

Honeywell; Missouri; Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

Health Savings Account (HSA)

Industry leading 401(k) match

Generous paid time off

Flexible work schedule

Tuition Reimbursement

Professional Certification & License

Job summary

Honeywell is seeking a data science professional to lead and support complex analytics projects across manufacturing and business applications. You will develop solutions using disciplined software practices, collaborate with stakeholders to define requirements, and implement end-to-end data ingestion, preparation, and governance for large datasets.

The role emphasizes machine learning, visualization, and communicating insights to drive process improvements and operational reliability.

Qualifications

• ABET-accredited engineering degree or BS in data science or related field.
• Two+ years of relevant experience in data science or related technical activities.
• Ability to travel as determined by business needs.
• Ability to work remote, hybrid, or on-site as directed.

Responsibilities

• Lead and support data science and analytics projects for process improvement and predictive analytics.
• Develop solutions using disciplined software development processes and version control.
• Collaborate with stakeholders to develop requirements and provide technical solutions.
• Define data ingestion, preparation, curation, and governance for large datasets.
• Contribute to information products and data visualizations for customers.
• Evaluate technical advances to improve productivity and quality.
• Develop and implement machine learning models to inform business decisions.
• Perform data processing and transformation for targeted audiences.

Skills

Statistics knowledge

Statistical modeling

Statistical process control

Python

R

SQL

Data visualization

Machine learning

Neural networks

Deep learning

Open-source tools

Cloud platforms

Education

ABET-accredited engineering degree

BS in data science or related field

Two years of relevant experience in lieu of a degree

Tools

Tableau

MicroStrategy

Hadoop

Hive

Apache Spark

Job description

Duties and Responsibilities

• Lead and support moderate to highly complex data science and analytics projects in support of process improvement, defect reduction, and predictive analytics for manufacturing and business applications.
• Independently develop solutions 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 and communicate directly with key stakeholders 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.
• Contribute to the production of 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.
• Strong analytical skills with experience with data mining and modeling.
• Develop and implement machine learning models to inform business needs and decisions.
• Perform data processing and transformation to targeted audience.

You Must Have

• BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree.
• Two or more years of relevant experience in data science or related technical activities.
• 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 a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)

We Value

• Working knowledge of statistics, statistical modeling, and statistical process control.
• Practiced using scripting and querying languages such as Python, R, SQL, and others.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.
• User experience mindset, including the production of visualizations and infographics to distill complex information.
• Experience producing analytics data visualizations, preferably using Tableau, MicroStrategy, or equivalent.
• Experience working with Hadoop, Hive, Apache Spark, etc.
• Experience with machine learning, neural networks, deep learning.
• Experience using open-source data analytics and machine learning tools along with other cloud-based platforms.

What We Offer

We are focused on attracting, hiring and retaining talented people who power our mission. Our robust total rewards package recognizes performance, fuels development and supports flexibility. Key features include:

• Medical, dental and vision insurance
• Health Savings Account (HSA)
• Industry leading 401(k) match
• Generous paid time off
• Flexible work schedule
• Tuition Reimbursement
• Professional Certification & License Programs
• Mission driven culture

This job description/job posting is not all inclusive and other duties may be assigned.

BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree.