Honeywell

Data Scientist

Honeywell

full-time

Posted on:

Location Type: Hybrid

Location: Gdansk • Poland

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Tech Stack

ETLJavaScriptLinuxPythonScikit-LearnSQLTableauTypeScript

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, self-starter that can take minimal direction and deliver results
  • - Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life

Requirements

  • - BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
  • - Plus 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.
  • - Plus 5 years of experience in traditional programming languages such as Pyathon, JavaScript, TypeScript, C++, or C#
  • - Comfortable in Windows and Linux environments
Benefits
  • - Competitive Salary regularly increased based on your performance
  • - Multisport Card, Medical Care, Life Insurance and Lunch Card
  • - Employee Assistance Program - Free and confidential service to help with any difficulties regarding work, life and personal or family matters
  • - In-house and external learning platforms (Udemy) with unlimited access to give you opportunities to develop
Applicant Tracking System Keywords

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

Hard Skills & Tools
data mininggenerative AImachine learningPythonscikit-learnETL operationsSQLdata visualizationPower BITableau
Soft Skills
communicationcollaborationself-starterproblem-solving