110 Data Scientists jobs in Kuala Lumpur

Company : Web3 & Blockchain-focused Company

Job Advantages

• Cutting-edge technology (Web3 and blockchain)
• Globalized company

Job Responsibilities

As a Senior Java Engineer , you will play a pivotal role in the development and optimization of the company’s data infrastructure, ensuring it supports the evolving needs of our blockchain-focused business. Your primary responsibilities will include:

• Architectural Design & Development : Lead the design and development of the company’s data center, ensuring robust performance and scalability.
• Data Platform Optimization : Provide ongoing solutions for platform architecture and performance optimization to support the company’s rapid growth and business needs.
• Business Enablement : Drive data-driven solutions that accelerate business development and continuously enhance the company's core competitiveness.
• Big Data Iteration : Lead the rapid iteration of big data platforms, ensuring efficiency, cost-effectiveness, and high-quality output.

Job Requirements

We are seeking candidates who are passionate about blockchain technology and possess a strong technical foundation. Ideal candidates will meet the following criteria:

• Education : Bachelor’s degree or above in Computer Science or related majors.
• Experience : More than 3 years of experience in Java development, with a deep understanding of JVM principles and Java development best practices.
• Frameworks : Proficient in frameworks such as Spring, Spring MVC, gRPC, Mybatis , and an ability to understand their underlying principles and mechanisms.
• Core Computer Fundamentals : Strong knowledge of computer operating systems, network architecture, and proficiency in commonly used algorithms, data structures, and design patterns.
• Distributed Systems : Familiarity with distributed systems, caching mechanisms (Redis), messaging systems (Kafka), and big data processing frameworks like Spark, Flink , and Zookeeper . Experience with TiDB is a plus.
• Experience in Microservices : Experience in the design and development of data centers or microservices, with an emphasis on high availability and scalability.
• Tagging Systems/Recommendation Systems : Experience with tagging systems or algorithmic recommendation systems is highly desirable.
• Passion for Blockchain : A strong enthusiasm for the blockchain industry and a commitment to contributing to its growth and development.

Why Join Us?

This role offers the opportunity to work at the forefront of blockchain and Web3 technologies within a global company. You will have the chance to develop and optimize critical infrastructure that powers innovative and scalable solutions in the blockchain space. If you’re ready to work in a fast-paced and cutting-edge environment, this role could be the perfect fit for you.

Apply now to be part of an exciting journey in revolutionizing the Web3 ecosystem!

Pioneer Talent Program - Organic Content Operations Crypto Operations Manager - Oregon, United States Crypto-Native UX Researcher (Remote - Jakarta, Indonesia) Web3 Head of Marketing and Communications (Remote) #J-18808-Ljbffr

Company : Web3 & Blockchain-focused Company Job Advantages Cutting-edge technology (Web3 and blockchain) Globalized company Job Responsibilities As a

Senior Java Engineer , you will play a pivotal role in the development and optimization of the company’s data infrastructure, ensuring it supports the evolving needs of our blockchain-focused business. Your primary responsibilities will include: Architectural Design & Development : Lead the design and development of the company’s data center, ensuring robust performance and scalability. Data Platform Optimization : Provide ongoing solutions for platform architecture and performance optimization to support the company’s rapid growth and business needs. Business Enablement : Drive data-driven solutions that accelerate business development and continuously enhance the company's core competitiveness. Big Data Iteration : Lead the rapid iteration of big data platforms, ensuring efficiency, cost-effectiveness, and high-quality output. Job Requirements We are seeking candidates who are passionate about blockchain technology and possess a strong technical foundation. Ideal candidates will meet the following criteria: Education : Bachelor’s degree or above in Computer Science or related majors. Experience : More than 3 years of experience in Java development, with a deep understanding of JVM principles and Java development best practices. Frameworks : Proficient in frameworks such as

Spring, Spring MVC, gRPC, Mybatis , and an ability to understand their underlying principles and mechanisms. Core Computer Fundamentals : Strong knowledge of computer operating systems, network architecture, and proficiency in commonly used algorithms, data structures, and design patterns. Distributed Systems : Familiarity with distributed systems, caching mechanisms (Redis), messaging systems (Kafka), and big data processing frameworks like

Spark, Flink , and

Zookeeper . Experience with

TiDB

is a plus. Experience in Microservices : Experience in the design and development of data centers or microservices, with an emphasis on high availability and scalability. Tagging Systems/Recommendation Systems : Experience with tagging systems or algorithmic recommendation systems is highly desirable. Passion for Blockchain : A strong enthusiasm for the blockchain industry and a commitment to contributing to its growth and development. Why Join Us? This role offers the opportunity to work at the forefront of

blockchain

and

Web3 technologies

within a global company. You will have the chance to develop and optimize critical infrastructure that powers innovative and scalable solutions in the blockchain space. If you’re ready to work in a fast-paced and cutting-edge environment, this role could be the perfect fit for you. Apply now to be part of an exciting journey in revolutionizing the Web3 ecosystem! Pioneer Talent Program - Organic Content Operations

Crypto Operations Manager - Oregon, United States

Crypto-Native UX Researcher (Remote - Jakarta, Indonesia)

Web3 Head of Marketing and Communications (Remote) #J-18808-Ljbffr

Senior Java Engineer (Base Kuala Lumpur) Job Advantages Cutting-edge technology (web3 and blockchain), globalized company Job Responsibilities Responsible for the architectural design and development of the company's data center. Continuously deliver data value to the company's businesses with high quality, low cost and high efficiency. Provide solutions for platform architecture and performance optimization, and lead the rapid iteration of big data platform. Enabling the rapid development of the company's business through data-driven approaches, continuously improving the company's core competitiveness. Job Requirements Bachelor's degree or above in computer science or related majors, with more than 3 years of experience in Java development, proficient in Java development, and an in-depth understanding of JVM principles. Familiar with commonly used frameworks (Spring, Spring MVC, gRPC, Mybatis) and able to master their principles and mechanisms. Solid computer fundamentals, mastery of computer operating systems and network architecture, familiar with commonly used algorithms, data structures, and design patterns. Familiar with distributed systems, caching, messaging, and other mechanisms; experience with Redis, Kafka, Spark, Flink, Zookeeper, and TiDB is preferred. Experience in data center or microservice design and development, with a focus on high availability and scalability of architecture is preferred. Experience in tagging systems or algorithmic recommendation systems is preferred. Full of enthusiasm and expectation for the blockchain industry, committed to working hard for the development of the industry.

#J-18808-Ljbffr

EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

1 week ago Be among the first 25 applicants

Join to apply for the Lead Software Engineer (Big Data) role at EPAM Systems

Get AI-powered advice on this job and more exclusive features.

Are you a highly skilled and motivated Data Software Engineer with a passion for Big Data, Machine Learning Operations and scalable enterprise software development? Join our dynamic team and take the lead in designing and implementing cutting-edge data solutions in a cloud-native environment. If you thrive in a fast-paced, agile setting and have a strong technical background, this is the opportunity for you!

Responsibilities

• Lead, design and implement innovative analytical solutions using Cloud-Native, Big Data, and NoSQL technologies
• Architect and develop Cloud, On-Premise and Hybrid data solutions using industry-leading frameworks
• Collaborate with product and engineering teams to evaluate new features, architectures and technical decisions
• Establish strong partnerships with architects and key stakeholders to ensure solutions align with business goals
• Conduct in-depth analysis of business challenges and technical environments to develop high-quality solutions
• Participate actively in code reviews and ensure adherence to best practices and coding standards
• Foster a high-performance engineering culture, mentor team members and provide motivation and guidance
• Maintain comprehensive project documentation to support development and operations
  
  
  

Requirements

• 8+ years of experience, specializing in Data Software Engineering, Machine Learning Operations (MLOps), and Big Data solutions
• Proficiency in Python, Java, Scala, or Kotlin
• Advanced knowledge of Linux OS, including service configuration, shell scripting and network fundamentals
• Expert skills in SQL and relational algebra
• Extensive experience in administration, configuration, monitoring, debugging and performance tuning of data technologies
• Hands-on experience with modern Big Data components and data modeling
• Proven ability to design, automate, provision and manage scalable, available and fault-tolerant cloud systems
• Deep understanding and practical application of CI/CD principles and best practices
• Expertise in Docker and Kubernetes for containerization and resource management
• Strong background in data ingestion pipelines (ETL workloads), Data Warehousing and Database architecture
• Expertise in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Security and Operations
• Significant experience with high-load and IoT data platform architectures
• Solid infrastructure troubleshooting skills
• Practical experience in performance tuning, optimization and problem analysis
• Advanced understanding of distributed computing principles
• Analytical problem-solving mindset with the ability to work at an abstract level and gain consensus
• Excellent interpersonal, leadership and communication skills
• Experience in direct customer communications and stakeholder management
• Experience in technical leadership and mentoring within data-oriented projects
• Ability to handle multiple projects in a fast-paced, startup-like agile development environment
• Data-oriented mindset with awareness of compliance standards such as PI, GDPR, HIPAA
  
  
  

We offer

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023.
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us
  
  
  

Life at EPAM

• EPAM is a leader in the fastest-growing segment (product development/digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertise
• We are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clients

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering, Information Technology, and Business Development
• Industries Software Development and IT Services and IT Consulting

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EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia Join or sign in to find your next job

Join to apply for the

Lead Software Engineer (Big Data)

role at

EPAM Systems EPAM Systems Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Be among the first 25 applicants Join to apply for the

Lead Software Engineer (Big Data)

role at

EPAM Systems Get AI-powered advice on this job and more exclusive features. Are you a highly skilled and motivated

Data Software Engineer

with a passion for Big Data, Machine Learning Operations and scalable enterprise software development? Join our dynamic team and take the lead in designing and implementing cutting-edge data solutions in a cloud-native environment. If you thrive in a fast-paced, agile setting and have a strong technical background, this is the opportunity for you!

Responsibilities

Lead, design and implement innovative analytical solutions using Cloud-Native, Big Data, and NoSQL technologies Architect and develop Cloud, On-Premise and Hybrid data solutions using industry-leading frameworks Collaborate with product and engineering teams to evaluate new features, architectures and technical decisions Establish strong partnerships with architects and key stakeholders to ensure solutions align with business goals Conduct in-depth analysis of business challenges and technical environments to develop high-quality solutions Participate actively in code reviews and ensure adherence to best practices and coding standards Foster a high-performance engineering culture, mentor team members and provide motivation and guidance Maintain comprehensive project documentation to support development and operations

Requirements

8+ years of experience, specializing in Data Software Engineering, Machine Learning Operations (MLOps), and Big Data solutions Proficiency in Python, Java, Scala, or Kotlin Advanced knowledge of Linux OS, including service configuration, shell scripting and network fundamentals Expert skills in SQL and relational algebra Extensive experience in administration, configuration, monitoring, debugging and performance tuning of data technologies Hands-on experience with modern Big Data components and data modeling Proven ability to design, automate, provision and manage scalable, available and fault-tolerant cloud systems Deep understanding and practical application of CI/CD principles and best practices Expertise in Docker and Kubernetes for containerization and resource management Strong background in data ingestion pipelines (ETL workloads), Data Warehousing and Database architecture Expertise in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Security and Operations Significant experience with high-load and IoT data platform architectures Solid infrastructure troubleshooting skills Practical experience in performance tuning, optimization and problem analysis Advanced understanding of distributed computing principles Analytical problem-solving mindset with the ability to work at an abstract level and gain consensus Excellent interpersonal, leadership and communication skills Experience in direct customer communications and stakeholder management Experience in technical leadership and mentoring within data-oriented projects Ability to handle multiple projects in a fast-paced, startup-like agile development environment Data-oriented mindset with awareness of compliance standards such as PI, GDPR, HIPAA

We offer

By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2021 & 2022&2023. Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

Life at EPAM

EPAM is a leader in the fastest-growing segment (product development/digital platform engineering) of the IT industry. We acquired Just-BI in 2021 to reinforce our leading position as a global Business Intelligence services provider and have been growing rapidly. With a talented multinational team, we provide data and analytics expertise We are currently involved in end-to-end BI design and implementation projects in major national and international companies. We are proud of our entrepreneurial start-up culture and are focused on investing in people by creating continuous learning and development opportunities for our employees who deliver engineering excellence for our clients

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Engineering, Information Technology, and Business Development Industries Software Development and IT Services and IT Consulting Referrals increase your chances of interviewing at EPAM Systems by 2x Get notified about new Lead Software Engineer jobs in

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia . Petaling Jaya, Selangor, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR4,000.00-MYR5,000.00 1 month ago Petaling Jaya, Selangor, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 8 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,800.00-MYR5,000.00 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kota Damansara, Selangor, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR3,500.00-MYR4,000.00 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 2 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

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Data Analysis Associate (Integrated Operations)

The Integrated Operations Team is responsible for the strategic planning, execution, and continuous improvement of our core seller programs. Additionally, the team holds ownership of the commercial team’s quarterly target setting and performance management processes, while also administering incentive computations for the commercial team. Furthermore, the team operates the Commercial Academy—a dedicated initiative that designs and deploys soft- and hard-skill training programs to enhance workforce capabilities.

Job Description:

• Analyze and enhance business strategies using data, optimizing resources across various teams, like sales operations, seller programmes.

• Lead our commercial target-setting process to guide business growth effectively, Create and maintain dashboards to keep track of key performance indicators.

• Work with Business Intelligence and Data Product teams to ensure our data is accurate and actionable for key stakeholders.

• Spot trends and opportunities in seller program design for improvements and maintain strong governance of financial viability.

• Monitor seller performance and provide insights to refine seller programs and optimise KAM incentive distributions according the efficient seller target setting process.

• Conduct targeted analyses to solve unique business challenges, offering data-driven solutions. Provide strategic insights to leadership on sales operations, including incentives and profitability models.

• Collaborate with Seller Engagement and Sales Operations teams to manage seller communications and inquiries.

Job Requirements:

• Bachelor’s Degree in Business Management or related field.

• At least 3-4 years of experience in Data Analytics, Business Intelligence, or commercial operations (e-commerce, consulting, or retail).

• Strong communication and interpersonal skills; you thrive in teamwork settings.

• Quick learner who adapts well to changing environments and priorities.

• Solid analytical abilities, especially with Excel; familiarity with data tools such as SQL is a plus but not mandatory.

• Organized, detail-oriented, and self-motivated. Project management experience is a bonus.

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Which of the following statements best describes your right to work in Malaysia?

Computer Software & Networking More than 10,000 employees

Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.

Founded in 2012, Lazada Group is the leading eCommerce platform in Southeast Asia. We are accelerating progress in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam through commerce and technology. With the largest logistics and payments networks in the region, Lazada is a part of our consumers’ daily lives in the region and we aim to serve 300 million shoppers by 2030. Since 2016, Lazada is the Southeast Asia flagship platform of the Alibaba Group powered by its cutting-edge technology infrastructure.

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-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights.

The Successful Applicant

A successful Data Scientist should have:

• A degree in Data Science, Computer Science, Statistics, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and tools.
• Ability to evaluate ML models, interpret results, and make data-driven decisions.

What's on Offer

• Remote Working
• Competitive salary of MYR 144000-18000 annually.
• Performance-based bonus and additional benefits.
• A collaborative and innovative company culture.
• Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career!

ContactJ-Shan LokeQuote job refJN-052025-6754518Phone number60123262534 #J-18808-Ljbffr

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Join to apply for the Machine Learning Engineer role at MoneyLion

MoneyLion is a leader in financial technology powering the next generation of personalized products and content, with a top consumer finance super app, a premier embedded finance platform for enterprise businesses and a world-class media arm. MoneyLion’s mission is to give everyone the power to make their best financial decisions. We pride ourselves on serving the many, not the few; providing confidence through guidance, choice, personalization; and shortening the distance to an informed action.

In our go-to money app for consumers, we deliver curated content on finance and related topics, through a tailored feed that engages people to learn and share. People take control of their finances with our innovative financial products and marketplace - including our full-fledged suite of features to save, borrow, spend, and invest - seamlessly bringing together the best offers and content from MoneyLion and our 1,100+ Enterprise Partner network, together in one experience. MoneyLion’s enterprise technology provides the definitive search engine and marketplace for financial products, enabling any company to add embedded finance to their business, with advanced AI-backed data and tools through our platform and API. Established in 2013, MoneyLion connects millions of people with the financial products and content they need, when and where they need it.

About The Role

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 Machine Learning Engineer who is technically proficient in programming to build machine learning systems and maintain high performing machine learning models in production. Designing machine learning systems requires that you, as the machine learning engineer, is able to frame business problems and design machine learning solutions that can effectively bring value to the company. You will prototype, implement and experiment with machine learning methods to solve business use cases. You will lead efforts to automate, architect and optimise machine learning processes and workflows. You will also help define, execute and enforce best practices for test-driven model development processes for the entire Data Science team in MoneyLion.

Key Responsibilities

• Able to frame and contextualize machine learning problems
• Research, build and design machine learning systems and models that can solve business problems
• Assess, understand and analyse data to select appropriate datasets for data modelling and testing
• Identify, prototype and implement appropriate machine learning algorithms and tools to improve our products
• Design, execute and monitor machine learning model experiments and metrics
• Perform statistical analysis to evaluate and prove business impact of modelling improvements
• Automate, architect and orchestrate machine learning processes and pipelines
• Monitor, optimise and maintain machine learning solutions in production
• Enrich existing machine learning libraries and model development frameworks to empower model development in MoneyLion
• Work with MLOps Engineers and Data Scientists to improve systems designs and architectures
• Enforce test-driven development and advocate engineering best practices to reduce technical debt in machine learning systems
• Develop tools and internal libraries to facilitate model governance over the machine learning development lifecycle
  
  

About You

• Strong mathematical, statistical or actuarial background
• Good programming knowledge and software engineering skills
• Must have hands on experience in machine learning, predictive analytics and statistical modelling
• Experience developing and deploying machine learning models in production.
• Adept at problem solving and troubleshooting using both textbook methods and novel viewpoints
• Proficient in Python and SQL
• Proficient with machine learning libraries and frameworks such as scikit-learn, XGBoost, LightGBM
• Preferably have experience in building machine learning systems and workflows
• Preferably familiar and have experience with MLOps tools such as DVC, MLFlow, Metaflow, Seldon, BentoML
• Preferably familiar and have experience with AWS, Docker, Kubernetes.
• Solid communication and collaboration skills.
  
  

What's Next.

After you submit your application, you can expect the following steps in the recruitment process:

• Online Technical Test
• Take-Home Assessment
• Interview & Discussion of Take-Home Assessment - Hiring Manager (Virtual or face-to-face)
  
  

*If you’ve already sent in your application for this position and were not selected, please reapply after 6 months.*

What We Value

We value growth-minded and collaborative people with high learning agility who embody our core values of teamwork, customer-first and innovation . Every member of the MoneyLion Team is passionate about fintech and ready to give 100% in helping us achieve our mission.

Working At MoneyLion

At MoneyLion, we want you to be well and thrive. Our generous benefits package includes:

• Competitive salary packages
• Comprehensive medical, dental, vision and life insurance benefits
• Wellness perks
• Paid parental leave
• Generous Paid Time Off
• Learning and Development resources
• Flexible working hours
  
  

MoneyLion is committed to equal employment opportunities for all employees. Inside our company, every decision we make regarding our employees is based on merit, competence, and performance, completely free of discrimination. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Within that team, no one will feel more “other” than anyone else. We realize the full promise of diversity and want you to bring your whole self to work every single day.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology

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-Defining and executing ML experiments to test how machine learning can enhance the products user experience.-Analysing and interpreting ML experiment results to determine business impact and user benefits.-Translating complex ML solutions into intuitive, user-friendly features that drive engagement and retention.-Working with UX and marketing teams to communicate ML-driven features effectively to users.-Prioritizing ML product roadmap based on user feedback, business goals, and technical feasibility.-Ensuring compliance and ethical use of user data while maximising personalization and insights. The Successful Applicant A successful Data Scientist should have: A degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in programming languages such as Python, R, or SQL. Experience with machine learning frameworks and tools. Ability to evaluate ML models, interpret results, and make data-driven decisions. What's on Offer

Remote Working Competitive salary of MYR 144000-18000 annually. Performance-based bonus and additional benefits. A collaborative and innovative company culture. Access to cutting-edge tools and technologies in the Technology & Telecoms industry.

If you are a motivated Data Scientist looking to make an impact, we encourage you to apply and take the next step in your career! ContactJ-Shan LokeQuote job refJN-052025-6754518Phone number60123262534 #J-18808-Ljbffr