Lead Data Scientist
Lead Data Scientist
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Job Description
We are seeking a Lead Data Scientist to join our innovative team. In this role you will focus on improving the accuracy of the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques in a highload realtime service setting.
As a Lead Data Scientist you will lead technical strategies mentor seasoned engineers in challenging areas of machine learning and contribute to fostering an engineeringfocused datadriven culture across the Fingerprint team. You will own data science projects from concept to deployment ensuring they seamlessly integrate with our realtime identification platform.
Types of Projects and Impact:
- Develop datadriven algorithms for Fingerprint Pro Identification Service applying ML techniques to process raw noisy and unlabeled data to extract insights about browsers and devices.
- Lead the design and implementation of supervised semisupervised and unsupervised learning approaches to improve our identification capabilities.
- Mentor team members in machine learning data science and analytics enhancing the teams technical expertise.
- Conduct exploratory data analysis to investigate adhoc questions and address anomalous data.
- Design experiments and solutions for MLrelated engineering challenges like realtime model inference and training pipeline automation.
- Help build an engineeringfocused datadriven culture across the team by sharing tools and effective approaches to data science.
Required Skills:
- Experience:7 years in Machine Learning Data Science and backend development.
- Machine Learning and Data Science Expertise:
- Advanced foundations in ML and statistical methodologies.
- Strong experience in supervised learning including gradient boosting and handling highcardinality categorical data.
- Practical experience with semisupervised and unsupervised learning techniques.
- Proficiency in exploratory data analysis and creative problemsolving for dataset collection and performance estimation in the absence of labeled data.
Software Engineering Skills:
- Strong expertise in realtime ML service development including challenges like realtime inference and modeltoservice integration.
- Excellent coding skills with expertise in SQL and general software engineering tools (Git CI/CD pipelines IDEs shell scripting).
- Ability to create MVP realtime web services from ML models.
- Fluent English for clear communication in a global remote team.
Nice to Have:
- Academic background and a research mindset.
- Backend development experience with GoLang.
- Experience with analytical storage systems like Clickhouse Snowflake or BigQuery.
- Familiarity with engineering practices for maintaining data transformations including frameworks like dbt.
- Handson experience with data visualization tools like Apache Superset Tableau or Looker.
Technologies You Will Work With:
- Backend and Data Science: GoLang SQL and advanced ML frameworks.
- Data Processing/Analytics: ClickHouse dbt.
- Infrastructure: AWS.
Compensation Range
$175k 200k For cash compensation we set standard ranges for allUS based roles basedon function level and geographic location benchmarked against similar stage growth companies. In order to be compliant with local legislation as well as to provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location.
Employment Type
Full Time
