Senior Data Scientist

Globaldev Group; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

HR support

Vacation 20 days

Collaborative environment

Competitive compensation

Job summary

Start.io is seeking a Senior Data Scientist to join our Data Science & Engineering team. You will shape decision-making by building scalable data pipelines and state-of-the-art ML models for real-time monetization uses.

You will collaborate with Product, BI, Analysts, DevOps, R&D and Marketing to deliver end-to-end solutions and oversee production releases with rigorous testing and monitoring.

Qualifications

• 6 years as a Data Scientist with strong ML background.
• Proficient in Python and ML libraries (regression, classification, etc.).
• Understanding of databases and SQL for data retrieval.
• Experience with real-time data processing and monitoring tools.

Responsibilities

• Analyze large and complex data to discover patterns and opportunities.
• Develop end-to-end scalable data pipelines.
• Build state-of-the-art ML models and algorithms for monetization.
• 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.
• Lead release to production with testing, monitoring and issue response.

Skills

Python ML libs

SQL & DBs

ML modeling

Real-time data

Teamwork

Education

BSc/MSc in CS/Math

Tools

Vertica

VoltDB

MongoDB

PMML

Grafana

Kibana

Job description

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 cuttingedge 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 datadriven 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:

• 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).

Will be a plus:

• 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;
• Experience with PMML.

What we offer:

• Help and support from our caring HR team;
• 20 days of vacation;
• The exchange of experience and work with talented colleagues;
• Last but not least - valuable compensation for your efforts.