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Winnow

Data Scientist

Winnow

Data Scientist enhancing the confidence and accuracy of AI models at Winnow, a company focused on reducing food waste with innovative technology.

Posted 7/13/2026full-timeCluj-Napoca • 🇷🇴 RomaniaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical and numerical skills to enhance AI model performance through data analysis and insights. Proficient in SQL and Python, with experience in data visualization and AWS, while effectively communicating findings to diverse audiences.

Highest-signal resume keywords
SQLPythonData AnalysisAWSData Visualization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisSQLPythonData VisualizationComplex QueriesKey Performance IndicatorsMachine Learning ApproachesMacrosFormulasPostgreSQL
Soft Skills
Effective CommunicationAttention to DetailProactive ThinkingFacilitating Group DiscussionsAction Oriented
Tools & Technologies
AWSGrafanaJupyterHubClaude
Industry Keywords
Data ProcessesUser ExperienceLarge Data SetsInsights PresentationCost Optimization

Tech Stack

Tools & technologies
AWSGrafanaPostgresPythonSQL

About the role

Key responsibilities & impact
  • Use your data skills to enhance the confidence and accuracy for our AI models
  • Developing and refining complex queries and reports to help other team members execute their roles
  • Performing ongoing data analysis to present back insights to clients
  • Shape our data processes to optimize efficiency while reducing costs
  • Imagine and deliver insightful analysis aiming at improving our user experience
  • Monitor and manage the existing fleet of models in the field, and ensure new clients benefit from AI no less than 1 month after installation
  • Produce and track key performance indicators
  • Take on more complex data analysis problems

Requirements

What you’ll need
  • Excellent numerical and analytical skills
  • Strong knowledge in SQL and Python required and willingness to learn more
  • Experience handling large data sets
  • Experience visualising large datasets
  • Experience with AWS
  • Experience using Claude to simplify and streamline tasks
  • Comfortable using macros and formulas such as vlookups, sumifs, and pivot tables
  • Experience with Grafana, JupyterHub, postgreSQL is a plus
  • A willingness to learn and suggest machine learning approaches to solving data problems
  • Effective verbal and written communication skills
  • Ability to turn data into insights and present these insights effectively
  • Ability to adapt communication style to suit different audiences
  • Ability to facilitate group discussions
  • Attention to detail. Ability to develop accurate written materials
  • Action oriented. Ability to follow-up on feedback to ensure positive outcomes
  • Comfortable training others to develop data skills
  • Pro-active and critical thinker
  • Ability to think out of the box and not afraid to speak up
  • Ability to create new processes from scratch
  • Ability to influence others to follow best practices
  • Flexible and willing to take on new challenges as they emerge

Benefits

Comp & perks
  • Competitive base salary
  • Meal tickets - 40 RON per working day
  • 2 Wellness hours per month plus a 274 RON gross monthly wellness allowance or the option to swap the wellness allowance for a 7Card subscription
  • 25 days of paid vacation time in addition to national holidays, plus the option to buy a further 5 days annual leave
  • Company part-funded private health insurance and eye care allowance
  • Life insurance (3 times base salary)
  • Company stock options package
  • Eligible for discretionary annual bonus
  • Employee Assistance Programme - 24/7 helpline for your wellbeing
  • Learning and development allowance of 1,730 RON annually
  • Hybrid way of working - we’re all in the office on Wednesdays and Thursdays
  • Company provided breakfast & snacks on office days
  • Early Finish Fridays - log off at 3 PM on a Friday if you have completed your tasks by then
  • Our own office space with a great working environment
  • You will love what you do – waking up every day solving one of the biggest social problems of our generation - food waste
  • Committed team members with broad experience who share a common passion to build a world class business