Data Scientist, Madrid

Key Skills

Algorithms, Apache Airflow, Big Data Technology, Data Mining, Data science techniques, Elasticsearch, English Proficiency, Linux Operating system, Machine learning techniques, MLflow, Natural Language Processing (NLP), Pandas, Product Management, PySpark, Python Programming, R Programming, Spark Core

Job Description

ThetaRay is the leading provider of AI-based Big Data analytics.

We are dedicated to helping financial organizations combat financial crimes through money laundering and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.

Our Unsupervised and Semi-Supervised Intuitive AI solutions enable clients to manage risk, detect money laundering schemes, uncover operational issues, and reveal valuable new growth opportunities.

ThetaRay is looking for a Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers’ challenges and needs, defining and developing appropriate technical and business solutions. The Data Scientist will work closely with ThetaRay’s Product Management, Algorithm, Engineering, and Customer Success teams and lead external partners to successful implementations of the ThetaRay platform and solutions.

Key Responsibilities

• Deliver successful deployment and Pilots
• Manage and design the Customer-specific technical solution throughout the project life cycle
• Technical leadership of Data Science & Engineering aspects and team members including partners
• Work on various data sources and apply sophisticated feature engineering capabilities
• Bring and use business knowledge
• Extract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big Data
• Build and manage technical relationships with customers and partners
• Provide product requirements input to the Product Management team
• Train the customers on the system – system usage and monitoring aspects
• Travel to customer locations both domestically and abroad

Requirements

• 2+ years of experience as a data scientist/data engineer/big-data developer
• BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or another related field
• Must have proven professional experience in data analytics for financial services with strong data mining and forensic skills
• Experience working with customers. Advantage – financial customers
• Must have Hands-on experience and knowledge of scripting languages: Python/PySpark as well as DS workflow management tools including MLflow, Airflow, etc.
• Experience in NLP or Graph Algorithms - an advantage
• Working experience with Linux OS - an advantage
• Fluent English - written and spoken
• Ability to travel to customer locations abroad

Core Competencies

• Able to solve tech problems for customers; improvise; cope with unexpected challenges
• Able to drive relevant internal functions to deliver/solve a problem for customers/partners
• A motivated, self-starter who can demonstrate high analytical and technical skills
• Ability to design creative solutions for complex requirements
• Ability to learn and lead projects independently, and to work with minimal supervision with customers (tech & business)
• Strong interpersonal relationship building
• Ability to execute multiple projects and drive key business results under tight deadlines.