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Lead Data Scientist

Malaysia Job ID JR0226744 Job Category Engineering Support Work Mode Hybrid Experience Level Experienced
Job Description

TheEasyData is an innovative "Data-Engineering-as-a-Service" business with a vision to democratize data engineering.
We are an Intel incubator graduated venture founded by a group of passionate individuals with expertise in data science, AI/ML algorithmic development and cloud development. We foster a collaborative, supportive, and exciting environment where the brightest minds come together to achieve exceptional results.

We see challenges as a tremendous opportunity and focused on execution. We are determined to expand our proprietary cognitive AI core technology and develop disruptive solutions that will shape the future of data engineering and data centric AI landscaping. We are looking for exceptionally smart people with a can-do attitude and believe that data will be the future of AI that will change the world.

Roles and Responsibilities

  • Lead design and development of data science software architecture, including data framework, data pipeline and workflow.

  • Conduct business use case analysis to define product roadmap and delivery milestone.

  • Technical team lead to guide and mentor team's engineers to ensure quality and bug-free deliverables.

  • Define data engineering functionalities, including data ingestion, data preparation, data transformation, data exploration, data analysis, insight generation etc.

  • Direct technical interaction with tech partners and customers with a high level of autonomy to define solutions, training, and inference execution to reach customer desired targets of work efficiency and accuracy.

  • Anticipate market and industry trends as well as customer needs for scaling on advance data science functionalities, data analytic and insight generation, DataOps solutions etc.

  • Research technological trends and advancements, create proof of concepts, or prototype new ideas, recommend strategic product enhancements to ensure product relevancy and support revenue growth.


Experience and Skills

  • Bachelor's, master's degree or PhD in Data Science, AI/ML, Computer Science, Computer Engineering, or Mathematics/Statistics or other technical discipline.

  • Good scripting and programming skills. Proficient in Python, Rust, Java, bash scripting, and other programming skills would be a plus, including C/C++, Java, Matlab, R, Go.

  • Hands-on experience with end-to-end data engineering workflow from data ingestion, data cleaning, data analytic, data modelling, evaluation, and deployment.

  • Experience with common data science toolkits, visualisation tools and SQL/NoSQL databases. Strong applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc.

  • Excellent understanding of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc. Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

  • Strong ownership attitude and problem-solving skills with results orientation.

  • Excellent communication skills to both technical and non-technical audiences, including higher management, sales and marketing team, internal and external customers.

Inside this Business Group
Corporate Strategy Office is chartered to support the executive office in driving corporate initiatives, including near and long-term strategy, major cross-group decision making and ensuring cross-company alignment.  To deliver to that mission, the team owns shaping, driving and synthesizing insights to directionally orient trends as well as long range strategic planning/visioning , cross company alignment and greenfield innovation.  Communications are essential to drive alignment so there is a focus on communications, community and acumen development.  The team is ccommitted to ensuring that Intel efforts are aligned to, and actively driving success toward the most impactful business strategies.

Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, and benefit programs. Find more information about our Amazing Benefits here:

Working Model
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
Maggie, Offensive Security Researcher

Maggie Offensive Security Researcher

“I’ve always wanted to do something that changes the world — at Intel, I feel appreciated, and I’ve gained more confidence in myself. It makes me feel like I’m capable of doing great things.”

  • Data Science Software Engineer Malaysia Apply Now
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