Solution Data Scientist

About the position

The Solution Data Scientist will be in our Professional Service team. You will be working on various types of technical projects e.g. fraud attack pattern study, risk detection strategy development, risk platform configuration, and machine learning model enhancement. Such projects can be for clients in pre-sales and post-sales stages with DataVisor. You will work closely with Customer Success team, Solutions Consulting team, ML Modeling team, Product team and Delivery team to deliver strong risk detection results and solution configurations that can bring business impacts to our clients and generate revenue for DataVisor.

Responsibilities

• Discover and understand the client's business logics and business problems, e.g. risk decision flows, business pain points, fraud patterns, data availability and quality, and expected business outcome.
• Lead technical discussions with clients' risk business teams (Fraud and AML) and data team to ensure comprehensive, good quality data is provided. Own the data transfers and data quality checks.
• Apply your strong data analytical skills to conduct data cleansing, data joining, pattern analysis, and feature engineering, to turn the provided data into enriched datasets.
• Create features and rules to detect the attack patterns identified; conduct backtest and simulations to evaluate the detection performance; iterate the strategies until meeting the business requirements.
• Configure various DataVisor product components e.g. Data Studio, Feature Platform, Rules Engine, Case Manager, Knowledge Graph, to provide tailored solutions to clients based on their data and business requirements.
• Work with ML Modeling team to develop, tune, and evaluate fraud detection models (unsupervised and supervised), and conduct performance metrics analysis to guide the threshold selection and decision adoption.
• Manage the solution service projects with project management tools e.g. Monday.com, and own the creation and reporting of key internal and external-facing project documents as deliverables.
• Present the project results and demonstrate the configured solutions to key business stakeholders.

Requirements

• 2+ years of experience in client-facing data analytic projects
• 2+ years of experience in ML modeling and feature engineering
• 1+ years of experience in Fraud and/or AML rules development
• Proficient in SQL queries with complex joining and layered logics
• Proficient in Python; familiarity with Java or R
• Proficient in LLM tools e.g. ChatGPT to research new business problems
• Technical product configurations and feature/rule result debugging
• Excellent communication and interpersonal skills
• Strong problem-solving mindset and results-driven mindset
• Strong documentation mindset and automation with AI tools/agents
• Ability to work collaboratively in a face-paced, team environment and manage multiple projects simultaneously.

Benefits

• Opportunity to work on impactful projects that protect businesses and consumers from fraud.
• Collaborate with a diverse and talented team of experts in AI, machine learning, and data science.
• Enjoy a flexible, supportive work environment with opportunities for professional growth.
• Competitive compensation and benefits package.
• Stock options
• Medical insurance
• 401K
• PTO