Senior (Lead) Data Scientist

Das ist der Job

Assess and mitigate data quality, bias, privacy, anonymity and competition‑law related risks.

Darum lohnt es sich

We are looking for a Senior (Lead) Data Scientist to join our Helsinki team at Sievo. At the Lead level, help build and ramp up Sievo’s data science capability across the company by setting scientific direction, reusable modelling standards, mentoring colleagues and influencing direction across teams.

Excellent communication skills, with the ability to explain complex methods and limitations to Product, Engineering, Sales, CSM and leadership, and to influence technical direction across teams.

For a Lead role: demonstrated ability to drive the data science discipline across an organisation – raising standards, growing capability and influencing direction beyond a single team. Benefits Competitive salary range of €6,200–€7,800 per month for a Senior role, with higher compensation possible for a Lead role.

Modern data, ML, and AI technologies on real production systems that power customer‑facing features. International team comprising members from over 40 nationalities. This role spans from senior to lead level based on experience, and is essential to turning our unique procurement data into trustworthy, productized insight.

Responsibilities Develop statistical and machine‑learning methods that transform large, complex datasets into benchmarks, indexes, supplier and opportunity indicators, predictive models and executive‑facing analytics.

Define success metrics and experimentation plans for new data products, and measure whether customers actually use and act on the resulting insights. Design and validate methodologies for the outputs you ship – representativeness, outlier handling, confidence levels, segmentation logic and minimum data thresholds.

Model price and indicator dynamics as a function of category, geography, supplier, material, timing or demand where it adds value. Conduct exploratory data analysis on large procurement datasets to identify patterns, opportunities, limitations and new product ideas.

Document methodologies, assumptions, limitations, validation results and interpretation guidance for internal and customer‑facing use. Support AI and insight‑generation features with statistically valid, reliable data and context, including confidence indicators and clear interpretation guidance.

Qualifications Track record of turning ambiguous business questions into clear analytical problem definitions and designing metrics and validation approaches that link analytical outputs to business outcomes. Comfort working with imperfect, heterogeneous, real‑world enterprise data.

Strong command of statistics – distributions, sampling, bias, variance, confidence, correlation vs. causation, outlier treatment and uncertainty. Strong Python skills for analysis, modelling, visualisation and prototyping, and strong SQL skills for working with complex analytical datasets.

Experience across the ML lifecycle: problem formulation, dataset preparation, feature design, model selection, validation, metric definition and interpretation. Product mindset – interest in turning analytical prototypes into repeatable, scalable product capabilities rather than one‑off analysis.

Bonus: experience with procurement, spend analytics, supplier data, finance analytics, pricing or supply‑chain data; experience with forecasting, clustering, anomaly detection, recommendation systems, classification or optimisation; experience with Azure, Synapse, notebooks, Azure ML or similar cloud analytics environments; experience with privacy‑preserving analytics, anonymised datasets, aggregation thresholds, or sensitive commercial data; experience designing A/B tests, pilots, product experiments or customer impact measurement; understanding of LLM / RAG / AI assistant use cases and how structured data can safely power AI‑generated insights.

Hybrid or fully remote work options with all essential tools provided. Freedom and responsibility in a flexible hybrid working model. Extensive healthcare, phone plan, home internet connection, equity program, referral bonus and relocation support for exceptional candidates. #J-18808-Ljbffr