Honeywell

Senior Advanced Data Scientist

Honeywell

full-time

Posted on:

Location Type: Hybrid

Location: PittsfordNew YorkUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $138,000 - $173,000 per year

Job Level

About the role

  • Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
  • Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
  • Design, prototyping, and implementation of new data-centric solutions
  • Effectively communicate and collaborate with local teams, international teams, and 3rd parties
  • Contribute to build versus buy decisions
  • Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
  • Self-starter that can take minimal direction and deliver results
  • Curious problem solver

Requirements

  • Minimum 5 years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
  • Proficiency with exploratory data analysis
  • Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
  • Proficiency with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
  • Minimum 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript.
  • Comfortable in Windows and Linux environments
  • WE VALUE
  • Expertise in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
  • Expertise in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
  • Expertise in building predictive and decision-making AI applications.
  • Expertise using cloud services from AWS, Azure, or GCP to develop solutions.
  • Expertise in computer vision and image/video analysis, including object detection, recognition, tracking, and identification
  • Expertise with many data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
  • Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
  • Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
  • Continuous learning mindset
Benefits
  • employer-subsidized Medical, Dental, Vision, and Life Insurance
  • Short-Term and Long-Term Disability
  • 401(k) match
  • Flexible Spending Accounts
  • Health Savings Accounts
  • EAP
  • Educational Assistance
  • Parental Leave
  • Paid Time Off (for vacation, personal business, sick time, and parental leave)
  • 12 Paid Holidays

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Pythonscikit-learnETL operationsSQLREST APIsdata visualizationPower BITableauJavaScriptTypeScript
Soft skills
problem solvingcommunicationcollaborationself-startercuriosity