Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Advanced Data Scientist developing in-house and third-party analytical systems at Honeywell. Leverage AI-ML models and data mining techniques to enhance security insights.
Responsibilities
- 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
- BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
- 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
- Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
- Comfortable in Windows and Linux environments
- **Preferred Qualifications**
- Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
- Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
- Experience in building predictive and decision-making AI applications.
- Experience using cloud services from AWS, Azure, or GCP to develop solutions.
- Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification
- Experience with application of 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
- State-of-the-art office with parking, chill-out areas, bicycle stands, showers and probably the best coffee in town
- Fruits bowls and sports activities to support your health and well-being
- Daily paid break - 30 mins and flexible working hours
- Hybrid work arrangement (3&2) to support your work-life balance
- Competitive Salary regularly increased based on your performance
- Flexible benefits basket with monthly budget allocated (medical insurance, life insurance, Multisport Card)
- Generali Insurance (Accident Insurance)
- Referrals bonuses for all open jobs and recognition programs
- Comprehensive induction, ongoing training and development to set you up for success
- In-house and external learning platforms supporting development opportunities
- Work experience opportunities to help you grow your career with us
- Global employee networks to help you connect and grow
- Employee Assistance Program - Free and confidential service to help with any difficulties regarding work, life and personal or family matters
- Access Integrity line - Any workplace issues or violations that need to be raised in good faith, can be communicated in a safe, private and confidential environment
- Frequent Employee Engagement activities supporting inclusive and diverse work environment
- Contribution to social benefits like x-mas benefit, holiday, engagement events from company social fund.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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