Sr. Data Scientist 

Join the industry leader to design the next generation of breakthroughs

When you join Honeywell, you become a member of our global team of thinkers, innovators, dreamers and doers who make the things that make the future.

That means changing the way we fly, fueling jets in an eco-friendly way, keeping buildings smart and safe and even making it possible to breathe on Mars.

Working at Honeywell isn’t just about developing cool things. That’s why all of our employees enjoy access to -dynamic career opportunities across different fields and industries. We offer amazing opportunities for career growth with a world-class team of diverse experts.

Are you ready to help us make the future?

Join a team that is elevating our strategy to drive advanced analytics and visualization tools across the Commercial enterprise. In this role, Sr Data Scientist – Commercial, you will conduct research and analysis to extract knowledge and insights from high volume, high dimensional data to provide strategic insight into complex business problems.   This will involve data preparation, modeling, analysis, and visualization techniques.  Some technologies you may apply to generate actionable insights include statistical analysis, machine learning, operations research, simulation, and artificial intelligence.

Duties and Responsibilities

·       Lead complex data science and analytics projects in support of the commercial organization.

·       Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members and stakeholders.

·       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 business needs and pain points.

·       Proactively assess current capabilities to identify areas for improvement, proposing solutions that align with core strategy and operation.

·       Develop guidelines and standards for analytics, AI, and machine learning models, their deployment, and associated processes. 

YOU MUST HAVE
Five or more years of relevant experience in data science or related technical activities.
Expert in scripting and querying languages, such as Python, SQL, PySpark.
Expertise in traditional Machine Learning, Deep Learning, Generative AI and Open AI.
Demonstrated experience in cutting edge analytics packages such as SciKit, TensorFlow, Matplotlib, Seaborn, PyTorch, GPT, PySpark, Bit bucket etc.
Knowledge of Agile development methodology

WE VALUE
Demonstrated experience with Statistics, Machine Learning (Supervised & Unsupervised learning), and Deep Learning.
Knowledge of databases, data warehouse platforms (Snowflake) and Cloud based tools (Databricks)
Experience producing analytics data visualizations, preferably using Tableau, PowerBI, or equivalent.
Demonstrated experience in serving as a technical lead of moderately complex projects.
Demonstrated analytical skills, proficiency with computer software applications, and the ability to produce and consume written documentation.
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.
Ability to effectively lead team interaction, including meetings and collaboration, to resolve issues.
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.