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Job Description
Top 3 Reasons To Join Us
The Job
The ideal candidate is an experienced solution and team builder who enjoys optimizing complicated problems or building them from the ground up. The data & AI team will work closely with our risk pillar owners, data engineers, and software engineers on new mechanism/solution initiatives and will ensure optimal data/model/system architecture is consistent throughout ongoing projects. The candidate must be self- directed and comfortable supporting the needs of multiple teams, systems, and products.
Responsibilities
- Focus on bringing statistical depth, analytical insights, and accurate interpretation of data;
- Extract, analyze, and apply data-mining/AI/ML techniques to large structured and unstructured datasets;
- Own, design, develop, and test large-scale data science pipelines and algorithms that are built for speed, scale, and usability;
- Conduct end-to-end data processing, troubleshooting, and problem diagnosis in the whole life cycle of AI/ML development and operation;
- Research and investigate academic and industrial AI/ML techniques for product improvements;
- Stay current on published state-of-the-art algorithms and competing technologies;
- Analyze and improve existing data sources, models, strategies, and metrics;
- Design and analyze experiments to pilot, test, and apply new features & solutions;
- Report, visualize, and communicate results & impacts;
- Collaborate with other engineers and team members to evaluate and improve the core components of autonomous systems;
- Identify any product/functionality/technical gaps required to deliver a solution and collaborate with internal teams to define the necessary enhancements to support delivery;
- Evaluate and recommend tools, technologies, and processes to ensure the highest quality solutions;
- Foster a culture of ownership, accountability, testing, and measurement, as well as continuous improvement through mentoring, feedback, and metrics.
Requirements:
- 4 - 10 years of relevant work experience with a largescale of REAL data;
- MSc/PhD in Computer Science, Mathematics, Data Science;
- Strong machine learning/statistics background with hands-on experience in industry, sourcing, cleaning, manipulating, and analyzing large volumes of data;
- Experience with end-to-end modeling projects emerging from research efforts;
- Willingness to understand a complex system and its various components;
- Great scripting and programming skills(fluent in Python, Java, GoLang);
- Experience with open-source machine learning libraries such as scikit-learn, weka, distributed/parallel big data processing architecture (e.g., Hadoop, Spark, MLlib), and deep learning framework (e.g., TensorFlow, Pytorch);
- Excellent problem-solving and communication skills;
- Ability to work well in a fast-paced culture and ability to manage multiple projects and deadline.
- Work on meaningful products that impact millions of users
- A collaborative and open culture where ideas are valued
- Opportunities to learn, grow, and take ownership
- Attractive compensation and benefits
- Birthday gifts, annual bonuses, and special company rewards
Benefits
- Work on meaningful products that impact millions of users
- A collaborative and open culture where ideas are valued
- Opportunities to learn, grow, and take ownership
- Attractive compensation and benefits
- Birthday gifts, annual bonuses, and special company rewards