J
Senior Data Scientist
RemoteFull-timeData Science
Fully remote, hands-on senior role developing machine learning approaches for a high-volume, real-time browser and device identification platform. Own work from research and experimentation through production deployment, partnering with data science and engineering teams.
Responsibilities
- Develop algorithms from raw, noisy, and unlabeled data to improve browser and device identification.
- Design and implement supervised, semi-supervised, and unsupervised machine learning approaches.
- Own data science projects from problem definition and experimentation through deployment and integration with real-time services.
- Develop solutions for real-time inference, model-to-service integration, and training automation.
- Conduct exploratory data analysis and evaluate models and datasets.
- Develop methods to collect and evaluate data when labeled datasets are limited or unavailable.
- Share tools and practices and collaborate with engineering teams to deliver reliable production services.
- Participate in a shared, advance-scheduled on-call rotation.
Requirements
- At least 5 years of experience across machine learning, data science, or related engineering disciplines.
- Advanced knowledge of machine learning fundamentals and statistical methods.
- Practical experience with supervised learning, including gradient boosting and high-cardinality categorical data.
- Hands-on experience with semi-supervised and unsupervised learning.
- Experience analyzing incomplete, noisy, or unlabeled datasets.
- Experience building real-time machine learning services and integrating models with production applications.
- Strong coding and software engineering skills, including SQL; familiarity with Git, CI/CD, IDEs, and shell scripting.
- Fluent English and ability to collaborate in a distributed international environment.
- Authorization to work from the candidate's home location; visa sponsorship is not provided.
Nice to have
- Academic background or research experience.
- Experience with Go and backend development.
- Familiarity with ClickHouse, Snowflake, BigQuery, dbt, Superset, Tableau, Looker, or vector databases.
- Experience building embedding-based search systems.
- Familiarity with AWS.
Benefits
- Competitive compensation; the stated US cash range is $152,000–$205,000 USD, with location-specific ranges.
- Fully remote work.
- Work on challenging machine learning problems involving real-time systems and large-scale data.
- Opportunity to influence technical strategy and data science and engineering practices.
- Work with a globally distributed team.