**Transform Complex Datasets into Actionable Insights**
As a Data Scientist, you will apply advanced analytics, machine learning, and predictive modeling to solve challenging business problems.
Your Mission
* Design and implement data-driven solutions across multiple areas, including product insights, trend forecasting, and fraud detection.
* Develop, enhance, and optimize methods for data acquisition, extraction, and processing to ensure the availability of high-quality, relevant data for analysis.
* Utilize statistical modeling and Machine Learning to build, validate, and maintain models for predicting and optimizing key performance metrics.
* Apply pattern recognition and anomaly detection techniques to identify unusual activities and prevent potential fraud across our platform.
* Work closely with cross-functional teams, including Engineering and Product, to embed data science solutions into core business applications, ensuring seamless integration and scalability.
Responsibilities
* Design and implement recommendation algorithms tailored to customer behavior, with both supervised and unsupervised learning techniques to improve user engagement and experience.
* Develop and optimize data pipelines to support large-scale analytics and machine learning workloads.
* Collaborate with stakeholders to understand business needs and develop data-driven solutions to address them.
Requirements
* Minimum of 2-3 years of experience in similar role in Data Science or Machine Learning.
* Degree in Mathematics, Physics, Computer Science, Statistics or similar.
* Good programming knowledge in Python.
* Experience with Statistical Analysis and Machine Learning.
* Analytical and data-oriented mindset.
* Excellent knowledge of the English language.
* Team-work and goal-oriented approach.
* Ability to work independently with high problem-solving skills.
* Down-to-earth and open to taking a step back if needed.
What We Offer
* An incredibly talented team.
* Extreme learning curve.
* Fast growth opportunities.
* Motivation, inspiration, and challenges.
* Flexibility and total transparency.
* Competitive salary.
* Welfare.
* Stock options and performance bonuses.