Data Scientist

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

Role Overview:

Start.io is a sell-side omnichannel advertising platform powered by real-time mobile audiences. We deliver hundreds of millions of ads per day across thousands of global leading apps and websites. Our platform uses AI to deliver more efficient, effective and precise digital advertising campaigns. Our direct integration with thousands of mobile publishers gives us access to more than 50 billion first-party data signals per day across the globe. Marketers use these anonymized signals to understand and predict consumer behavior, identify new opportunities and fuel business growth.

If you're a talented Data Scientist looking to be part of a fast-growing, innovative R&D team, shape the future of decision-making in business, work on cutting-edge technologies and vast amounts of global real-time data, affect billions of mobile users, and become an industry leader - then let's talk! Start.io is a mobile data platform that enables organizations to uncover insights and make data-driven decisions that enhance strategies and drive growth. We are seeking a Senior Data Scientist to join our Data Science & Engineering team.

Responsibilities:

• Analyze large and complex data to discover hidden patterns and opportunities.
• Develop and own end-to-end highly scalable data pipelines.
• Develop state-of-the-art machine learning models, and algorithms and build solutions in monetization fields.
• Provisioning data models for real-time (online) processing
• Shape new data products, and constantly improve the existing products.
• Collaborate with multiple teams including Product, BI, Analysts, DevOps, R&D and Marketing to lead and accomplish overall solutions.
• Oversee a complete release to production, including analyzing requirements, testing, monitoring and measuring results, multitasking, and quickly responding to critical issues.

Requirements:

Must:

• B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics, or other equivalent fields.
• 6 years as a Data Scientist - a strong background in ML concepts and models.
• Hands-on experience with Python, especially with data science ML libraries (regression & classification algorithms e.g. XGB or LGBM, recommendation system algorithms, etc.)
• Understanding of databases and SQL for data retrieval.
• Monitoring and alerting tools (e.g. Grafana, Kibana)

Advantage:

• Knowledge in the programmatic advertising landscape – DSPs, SSPs, exchanges – significant advantage.
• Experience with relational (e.g. Vertica, VoltDB) and non-relational (e.g. MongoDB) databases.