Senior Data Scientist
The Role
You’ll have a unique chance to join our core team and work at the forefront of data innovation, leveraging state-of-the-art technologies in Big Data, AI, and Cloud infrastructures to drive impactful solutions.
This isn’t a typical role. You’ll analyze large-scale, high-dimensional datasets, design cutting-edge machine learning systems, and tackle algorithmic challenges to push boundaries. We’re looking for someone who can extract actionable insights, craft compelling data-driven narratives, and drive decisions – a critical thinker who thrives on innovation and embraces uncharted territory.
Collaboration is at the heart of what we do. Personality and teamwork are just as important as technical skills. If you’re excited to take on game-changing projects and shape the future of behavioral data, join us and help redefine what’s possible.
Requirements
- 5+ years of experience in software engineering, data analysis, and data science.
- Demonstrated ability to introduce innovative out of the box approaches / solutions in domains with limited references or open source solutions.
- Extensive experience with production-grade machine learning systems, handling terabytes of data.
- Proven ability to implement end-to-end AI solutions across all stages: data collection, annotation, analysis, deployment, and maintenance.
- Proficiency in Python and key data science libraries, demonstrating a strong foundation in the tools essential for modern data science.
- Expertise in PySpark and Big Data technologies (e.g., Spark, Databricks).
- Strong knowledge of cloud platforms (e.g., GCP, AWS, Azure).
- Critical thinker with a research-oriented mindset and meticulous attention to detail.
- Excellent communication skills in English (verbal and written), with the ability to articulate complex concepts clearly.
- Customer-facing experience, comfortable collaborating with stakeholders and explaining technical findings to non-technical audiences.
Advantages
- Expertise in time-series or signal processing data, especially from mobile/PC sensors.
- Familiarity with fraud/cheat data.
- Experience in the gaming industry.
- Background in early-stage startups, with the adaptability to thrive in a fast-paced, dynamic environment.
- Demonstrated experience contributing to or managing open-source projects using Git.
Responsibilities
- Design, build, and optimize end-to-end AI solutions, from data collection and annotation to model deployment, monitoring, and retraining.
- Solve complex algorithmic challenges in high-volume data processing and sensor-based systems, driving innovation at scale.
- Develop generic models with a focus on scalability and accuracy (e.g., ~0 false positives), enabling the team to serve 10x more customers.
- Create internal tools that allow for 10x faster data analysis, streamlining workflows, and improving efficiency.
- Uncover actionable insights through in-depth analysis and data storytelling, and build algorithms/tools to automate repetitive analysis tasks.
- Work closely with the engineering team to ensure seamless integration of data science solutions into scalable cloud environments.
About Quago
We’re a passionate, hard-working, and experienced team, pioneering a revolutionary new layer of online data – Sensor-Based Behavioral Data, combined with advanced AI to deliver rich, real-time insights.
Already impacting 100M users DAILY, we process tens of terabytes of intricate, time-series, and sensor-based data. Our proprietary solutions set a new standard in gaming analytics and innovation.
