
Senior Advanced Data Scientist
Honeywell
full-time
Posted on:
Location Type: Hybrid
Location: Pittsford • New York • United States
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Salary
💰 $138,000 - $173,000 per year
Job Level
Tech Stack
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