Join a tech startup focused on fraud detection as a Data Scientist, applying data science and machine learning techniques to improve detection accuracy. Collaborate with engineers and data scientists on challenging ML problems in a fully remote environment.
Stack technologiczny
python
sql
aws
ml-frameworks
clickhouse
dbt
Wymagania
Wymagane:
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
Mile widziane:
Obowiązki
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
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
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)