Senior Data Scientist - Real-Time ML & Scalable Pipelines

Start.io; Polska; On-site; PLN 260,000 - 360,000; Full time

Job summary

Start.io is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We process hundreds of millions of ads daily across global apps and websites, using AI to deliver more efficient campaigns.

We are looking for a Senior Data Scientist to join our Data Science & Engineering team, shaping decision making on vast real-time data, building scalable pipelines, and delivering monetization-focused ML solutions with cross-functional partners.

Qualifications

• 6 years of Data Scientist experience with ML concepts.
• Proficiency in Python with ML libraries (regression, classification) including XGBoost or LightGBM.
• Experience with SQL for data retrieval and working with databases.
• Experience with monitoring/alerting tools like Grafana or Kibana.

Responsibilities

• Analyze large and complex data to discover patterns and opportunities.
• Develop and own end-to-end scalable data pipelines.
• Develop state-of-the-art ML models and monetization-focused algorithms.
• Provision data models for real-time processing.
• Shape new data products and improve existing ones.
• Collaborate with Product, BI, Analysts, DevOps, R&D and Marketing to deliver solutions.
• Oversee the release to production, including requirements, testing, monitoring and issue response.

Skills

Data Scientist experience (6+ years)

Education

BSc/ MSc in CS/ Engineering/ Math/ Statistics

Tools

Python

XGBoost

LightGBM

SQL

Grafana

Kibana

Vertica

VoltDB

MongoDB

Job description

Start.io is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We process hundreds of millions of ads daily across global apps and websites, using AI to deliver more efficient campaigns.

We are looking for a Senior Data Scientist to join our Data Science & Engineering team, shaping decision making on vast real-time data, building scalable pipelines, and delivering monetization-focused ML solutions with cross-functional partners.