Fingerprint is looking for aData Scientist to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load real-time service environment.
Youll collaborate with engineers and data scientists on challenging ML problems and work across the project lifecycle from prototyping to deployment.
What Youll Work On
- Develop algorithms that transform raw noisy and unlabeled data into insights about browsers and devices
- Design and implement supervised learning models to improve detection accuracy
- Partner with ML Engineers Data Scientists and Software Engineers to push forward our technical expertise
- Conduct exploratory data analysis to investigate anomalies and ad-hoc questions
- Run experiments to solve ML engineering challenges like real-time inference and training automation
What Were Looking For
- BS or MS in Computer Science Data Science or related field or equivalent experience
- 3-6 years of experience in Data Science or Machine Learning
- Strong foundations in ML and statistics
- Experience with supervised learning methods (gradient boosting logistic regression etc.) and working with categorical data
- Skilled in exploratory data analysis and deriving insights from complex datasets
- Proficiency in Python and SQL; experience with Git and software engineering basics
- Comfortable communicating in English in a global remote team
Nice to Have
- Familiarity with semi-supervised or unsupervised learning techniques
- Hands-on experience with visualization tools (Apache Superset Tableau Looker)
- Knowledge of analytical storage systems (ClickHouse Snowflake BigQuery)
- Experience maintaining data transformations with dbt
- Ability to build lightweight real-time services from ML models
- Academic or research background
Tech Stack
- Backend & Data Science: Python Go SQL ML frameworks
- Analytics & Processing: ClickHouse dbt
- Infrastructure: AWS
For US-based employees the cash compensation range for this role is$145000-$155000.We set standard ranges for all US roles based on function level and geographic location benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location. Howeverthese ranges are specific to the hiring location and may differ within or outside the US.Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise and may vary from the amounts listed above.
Fingerprint is looking for aData Scientist to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load real-time service environment.Youll collaborate with engineers and data scientists on challenging ML problems and work across the proje...
Fingerprint is looking for aData Scientist to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load real-time service environment.
Youll collaborate with engineers and data scientists on challenging ML problems and work across the project lifecycle from prototyping to deployment.
What Youll Work On
- Develop algorithms that transform raw noisy and unlabeled data into insights about browsers and devices
- Design and implement supervised learning models to improve detection accuracy
- Partner with ML Engineers Data Scientists and Software Engineers to push forward our technical expertise
- Conduct exploratory data analysis to investigate anomalies and ad-hoc questions
- Run experiments to solve ML engineering challenges like real-time inference and training automation
What Were Looking For
- BS or MS in Computer Science Data Science or related field or equivalent experience
- 3-6 years of experience in Data Science or Machine Learning
- Strong foundations in ML and statistics
- Experience with supervised learning methods (gradient boosting logistic regression etc.) and working with categorical data
- Skilled in exploratory data analysis and deriving insights from complex datasets
- Proficiency in Python and SQL; experience with Git and software engineering basics
- Comfortable communicating in English in a global remote team
Nice to Have
- Familiarity with semi-supervised or unsupervised learning techniques
- Hands-on experience with visualization tools (Apache Superset Tableau Looker)
- Knowledge of analytical storage systems (ClickHouse Snowflake BigQuery)
- Experience maintaining data transformations with dbt
- Ability to build lightweight real-time services from ML models
- Academic or research background
Tech Stack
- Backend & Data Science: Python Go SQL ML frameworks
- Analytics & Processing: ClickHouse dbt
- Infrastructure: AWS
For US-based employees the cash compensation range for this role is$145000-$155000.We set standard ranges for all US roles based on function level and geographic location benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location. Howeverthese ranges are specific to the hiring location and may differ within or outside the US.Final offer amounts are determined by multiple factors including geographic location as well as candidate experience and expertise and may vary from the amounts listed above.
View more
View less