Position: Data Scientist
Company: EvoPlay
Experience required: 3y

We are seeking an individual with a strong background in malware, digital fraud, or cybersecurity, who also excels in data analysis. Expertise in Python, machine learning, data science, anomaly detection, and working with streaming data is essential. The ideal candidate should be capable of building models to identify abnormal traffic behavior and make data-driven recommendations for the business.

**Responsibilities:**

Develop statistical, machine learning, and econometric models to analyze large datasets for customer behavior and identify anomalies.
Analyze trends and create automatic tags, models, and filters to detect and prevent fraudulent advertising traffic.
Regularly monitor and analyze global fraud trends to improve efficiency and effectiveness across all aspects of the company's operations.
Discover new and innovative ways to combat fraudulent activities using advanced analytics and emerging technologies.
Collaborate closely with cross-functional teams to implement and optimize fraud detection and prevention strategies.

**Candidate Qualifications:** 

Experience working with cybersecurity, fraud, or trust and safety teams is required.
Degree in mathematics, statistics, computer science, or related technical disciplines.
Strong analytical skills, including manipulating, modeling, interpreting, and visualizing large volumes of structured and unstructured data.
Proficiency in developing statistical, algorithmic, and data analysis methods, as well as data visualization techniques, for modeling complex problems and identifying opportunities.
Willingness to collaborate with teammates, share knowledge, and learn from others.
Excellent communication skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.