Data Scientist

Avast; Kuala Lumpur; On-site; MYR 70,000 - 95,000; Full time

Job summary

A financial technology company seeks a Data Scientist to develop data solutions for business decisions. This role entails applying analytics and AI to enhance products, designing and validating experiments, and collaborating across teams. Candidates should have a strong background in machine learning, programming proficiency in Python and SQL, and excellent communication skills. Join a diverse team to innovate and disrupt the finance industry.

Qualifications

• Strong mathematical, statistical or actuarial background.
• Hands on experience in machine learning and predictive analytics.
• Proficient in programming languages such as Python and SQL.
• Experience with A/B testing and experimentation framework.

Responsibilities

• Perform analyses to understand user interactions with products.
• Communicate findings to stakeholders clearly.
• Investigate anomalies and their root causes.
• Design experiments to solve data and business problems.
• Collaborate with product owners for insights on business performance.
• Develop dashboards to track relevant metrics.
• Apply, develop or refine AI algorithms for business value.

Skills

Machine learning

Predictive analytics

Statistical modeling

Python

SQL

Data visualization

Job description

The Kuala Lumpur office is the technology powerhouse of MoneyLion. We pride ourselves on innovative initiatives and thrive in a fast paced and challenging environment. Join our multicultural team of visionaries and industry rebels in disrupting the traditional finance industry!

We are looking for a Data Scientist to develop data solutions that will enable us to assist critical day to day business decisions.

As a Data Scientist in the Decision Science role, you will have the opportunity to apply analytics, experimentation and machine learning algorithms to support and enhance MoneyLion’s products with data driven decisions. You will be embedded within the product teams and deliver tangible business value by deploying or refining solutions ranging from fraud and credit underwriting to user experience optimisations, providing convincing evidence of their effectiveness. This entails designing, developing, validating, deploying and monitoring the outcome of experiments using (and refining) business objectives that will ultimately increase revenue and reduce business costs.

You will partner with Product, Data Engineers and Machine Learning teams, exploring and utilizing the frontier of innovation, in order to augment analytics with AI, rapidly iterate with configurable experiments, monitor and evaluate key developments, and understand business needs intimately to help develop valuable AI solutions.

Key Responsibilities

• Perform analyses to understand how our users interact with our products and how to improve our products
• Communicate findings to stakeholders in a clear and concise manner
• Identify anomalies and investigate the root causes of anomalies
• Design and build experiments to solve challenging data and business problems
• Collaborate with product owners to discover new insights and understanding of business performance based on data
• Identify trends and opportunities from the data and influence product roadmaps
• Develop dashboards to track relevant metrics
• Recommend ways to measure success
• Work with engineers to improve the data collection process
• Ensure data-driven decision making within the organization
• Apply, develop or refine AI algorithms to deliver business value

About You

• Strong mathematical, statistical or actuarial background
• Must have hands on experience in machine learning, predictive analytics and statistical modeling
• Proficiency with A/B testing and experimentation framework is preferred
• Adept at problem solving using both textbook methods and novel viewpoints
• Proficient in programming languages such as Python and SQL
• Knowledge of data structures, data modeling, software architecture and machine learning algorithms will be an advantage
• Demonstrably experienced with data visualization
• Demonstrably excellent verbal and written communication skills

What's Next...

1. Take‑Home Assessment
2. Interview & Discussion of Take‑Home Assessment - Hiring Manager (Virtual or face‑to‑face), 1.5 hours

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