Lead Data Scientist / ML Engineer - Servicing and Data Engineering
Lead Data Scientist / ML Engineer - Servicing and Data Engineering
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Job Description
Lead Data Scientist / ML Engineer Servicing and Data Engineering
Were looking for a Lead Data Scientist to join our growing Servicing ML and Data Engineering Team in Tallinn (or Budapest Tallinn preferred).
This role is a unique opportunity to scale and advance the impact of Data Science in Servicing tribe namely Fincrime KYC and Customer Support squads. What you build will have a direct impact on Wises mission and millions of our customers.
About the Role:
Our team is responsible for:
1) removing bottlenecks from Data Science workflows
2) providing ML tooling for experiments and pipelines
3) developing Wises Feature Platform.
Moreover we are responsible for driving high priority projects from proofofconcept to MVP to service / tooling in order to unlock crossteam impact.
We are looking for someone to own the evolution of ML experimentation tooling and model retraining pipelines at first for Fincrime teams then for other squads in Servicing. You will coown stakeholder management roadmap delivery and onboarding. Youre also expected to conduct presentations demos and workshops in addition to maintaining good documentation and progress updates for their projects. Additionally you will have the freedom to drive impactful proofofconcepts of new methodologies and tooling that bridge a gap for two or more teams in Servicing tribe.
Heres how youll be contributing:
Software engineering: e.g. testing CI/CD monitoring/alerting disaster recovery
MLOps: Terraform and AWS infra ML governance for hundreds of models
Data Engineering: distributed processing at terabyte scale
Science: prove value of new methodologies / algorithms applied to crossteam domains estimate and measure impact mentor junior members in experiment design
A bit about you:
Extensive experience with endtoend distributed data systems specially MLcentric ones;
Previous experience as Data Scientist in large scale product team / business;
Excellent Python and Software Engineering knowledge. Ability to work with Java if needed. Demonstrable experience collaborating with engineers on services.;
Strong drive to solve problems for Data Scientists with the ability to work independently in a crossfunctional and crossteam environment;
Good communication skills ability to get the point across to nontechnical individuals and back it up with data (and statistical analysis) to engage and manage project stakeholders;
Strong problem solving skills with the ability to help refine problem statements and propose solutions taking effortimpactscalability tradeoff into account.
Some skills that will make you stand out:
Apache Spark Airflow Iceberg Kafka dbt
ScikitLearn XGBoost MLFlow Ray PyTorch Graphtool (or similar)
AWS (S3 EMR SageMaker Lakeformation) Terraform Docker GitHub CI/CD
Knowledge Graphs ( RAG) graph ML probabilistic programming A/B testing
The salary range we offer for this role isRSUs
Additional Information :
Were people without borders without judgement or prejudice too. We want to work with the best people no matter their background. So if youre passionate about learning new things and keen to join our mission youll fit right in.
Also qualifications arent that important to us. If youve got great experience and youre great at articulating your thinking wed like to hear from you.
And because we believe that diverse teams build better products wed especially love to hear from you if youre from an underrepresented demographic.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
