Senior Data Scientist - Sherpany
DatasiteLithuania7 days ago
Full-timeEngineering, Information Technology
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Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.
Job Description
We are Sherpany by Datasite - a young and award-winning tech company headquartered in Zurich. With our cloud/SaaS solution, we digitize meeting management and thus facilitate the decision-making processes of management bodies throughout Europe. Our in-house developed system transforms meetings from time wasters into value creators. Our customers include well-known medium-sized to large companies from all industries, such as Axpo, Emmi, Esprit, Swisscom and Swiss-Re, and many more.
Are you an open-minded person who feels comfortable in a dynamic environment, collaborates seamlessly across departments, and enjoys working in an international team of analysts and data engineers driven to create business impact? Then this position could be just right for you!
Your Area Of Responsibility
As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.
Job Description
We are Sherpany by Datasite - a young and award-winning tech company headquartered in Zurich. With our cloud/SaaS solution, we digitize meeting management and thus facilitate the decision-making processes of management bodies throughout Europe. Our in-house developed system transforms meetings from time wasters into value creators. Our customers include well-known medium-sized to large companies from all industries, such as Axpo, Emmi, Esprit, Swisscom and Swiss-Re, and many more.
Are you an open-minded person who feels comfortable in a dynamic environment, collaborates seamlessly across departments, and enjoys working in an international team of analysts and data engineers driven to create business impact? Then this position could be just right for you!
Your Area Of Responsibility
- Build and own end-to-end model-driven data workflows: Proactively identify opportunities where quantitative insights can support business growth, and autonomously turn them into concrete data modeling and engineering tasks
- Apply advanced statistical or ML models with rigor and clarity, explain them in simple terms, and translate results into actionable recommendations
- Partner with stakeholders to refine their questions, guide them towards data-driven decisions, and capitalize on hidden opportunities through analytics
- Support and extend our data platform (Airbyte, dbt, Databricks) to ensure reliable pipelines, robust KPIs, and strong self-service foundations
- Communicate results with visualizations that highlight what truly matters and inspire action
- 4+ years of experience in building data science projects and production-grade analytics/ML workflows
- Outstanding modeling expertise – you know when and how to use the right statistical or ML method, able to explain models and results with ease at different levels of complexity
- Experience analyzing business and usage data of software products is a must; SaaS, A/B testing and PLG are a plus
- Solid background in data or analytics engineering
- Advanced skills in SQL and Python or R; dbt and Tableau are a plus
- You have great interpersonal and communication skills in English
As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.
Key Skills
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