S

Senior/Lead Data Scientist

Sievo • Finland
Relocation
This Job is No Longer Active This position is no longer accepting applications

We are seeking a Senior or Lead Data Scientist to join our team in Helsinki, responsible for developing analytical and scientific methods to turn large datasets into trustworthy insights. The ideal candidate will have a strong background in statistics and machine learning, with experience working with complex datasets. The role involves collaborating with cross-functional teams to turn analytical prototypes into scalable product capabilities.

Key Highlights
Develop statistical and machine-learning methods to turn large datasets into trustworthy insights
Collaborate with cross-functional teams to turn analytical prototypes into scalable product capabilities
Own the analytical and scientific methods that turn data into trustworthy, productized insight
Key Responsibilities
Develop statistical and machine-learning methods that turn large, complex datasets into trustworthy insight
Define success metrics and experimentation plans for new data products
Conduct exploratory data analysis on large procurement datasets to identify patterns, opportunities, limitations, and new product ideas
Technical Skills Required
Statistics Machine Learning Python
Benefits & Perks
Extensive healthcare
Phone plan
Home internet connection
Equity program
Referral bonus
Nice to Have
Experience with procurement, spend analytics, supplier data, finance analytics, pricing, or supply-chain data
Experience with ML methods such as forecasting, clustering, anomaly detection, recommendation systems, classification, or optimization

Job Description

We are looking for a Senior (Lead) Data Scientist to join our Helsinki team. Depending on experience, this role may be filled at a Senior or a Lead Data Scientist level.

About the role

At Sievo, data is everything. We have visibility into more than 2% of global GDP in spend — a breadth and depth of real-world procurement data that very few datasets anywhere can match. Making sense of a dataset at that scale, reliably and safely, is fundamentally a data science problem, and that is why this role is essential to how we create value.

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