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Software Development
Lead Data Scientist
@Fingerprint
[Hiring] Lead Data Scientist @Fingerprint
Apr 11, 2025 - Fingerprint is hiring a remote Lead Data Scientist. 💸 Salary: $175k - 200k. 📍Location: Northern America, Americas, Latin America (LATAM), Europe, EMEA, USA, UK, Canada, Germany, France, India, Asia, Africa, Brazil, APAC, Australia.
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Role 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 high-load real-time service setting.
- Lead technical strategies and mentor seasoned engineers in challenging areas of machine learning.
- Contribute to fostering an engineering-focused, data-driven culture across the Fingerprint team.
- Own data science projects from concept to deployment, ensuring seamless integration with our real-time identification platform.
Types of Projects and Impact:
- Develop data-driven 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, semi-supervised, and unsupervised learning approaches to improve our identification capabilities.
- Mentor team members in machine learning, data science, and analytics, enhancing the team’s technical expertise.
- Conduct exploratory data analysis to investigate ad-hoc questions and address anomalous data.
- Design experiments and solutions for ML-related engineering challenges like real-time model inference and training pipeline automation.
- Help build an engineering-focused, data-driven culture across the team by sharing tools and effective approaches to data science.
Qualifications
- 7+ years in Machine Learning, Data Science, and backend development.
- Advanced foundations in ML and statistical methodologies.
- Strong experience in supervised learning, including gradient boosting and handling high-cardinality categorical data.
- Practical experience with semi-supervised and unsupervised learning techniques.
- Proficiency in exploratory data analysis and creative problem-solving for dataset collection and performance estimation in the absence of labeled data.
- Strong expertise in real-time ML service development, including challenges like real-time inference and model-to-service integration.
- Excellent coding skills with expertise in SQL and general software engineering tools (Git, CI/CD pipelines, IDEs, shell scripting).
- Ability to create MVP real-time web services from ML models.
- Fluent English for clear communication in a global, remote team.
Requirements
- 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.
- Hands-on experience with data visualization tools like Apache Superset, Tableau, or Looker.
Benefits
- Compensation Range: $175k - 200k.
- Offers vary depending on relevant experience, education, certifications/licenses, skills, training, and market conditions.
- We are dedicated to creating an inclusive work environment for everyone.
- We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace.
- Fingerprint strives to foster an environment where our employees feel respected, valued, and empowered.
- We highly encourage people from underrepresented groups in tech to apply.
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️
| 📍 | Be aware of the location restriction for this remote position: Northern America, Americas, Latin America (LATAM), Europe, EMEA, USA, UK, Canada, Germany, France, India, Asia, Africa, Brazil, APAC, Australia |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
Back to Remote jobs >
Software Development
Software Development
|
Salary
💸
$175k - 200k
|
Remote
Location
Northern America, Americas, Latin America (LATAM), Europe, EMEA, USA, UK, Canada, Germany, France, India, Asia, Africa, Brazil, APAC, Australia
|
|
Job Type
unspecified
|
Posted
Apr 11, 2025
|
️
| 📍 | Be aware of the location restriction for this remote position: Northern America, Americas, Latin America (LATAM), Europe, EMEA, USA, UK, Canada, Germany, France, India, Asia, Africa, Brazil, APAC, Australia |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
