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Lead Data Scientist

IT - Data Science & Analytics
Full-Time
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Mid Valley / Remote, Kuala Lumpur

About The Job

We are expanding our dynamic data science team and we are looking for our next Lead Data Scientist who is responsible for managing the data science team, planning projects, and building analytics models, leveraging on large volumes of data across sources in a variety of forms. We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. 

You will be leading our Data Science team and your job scope will include:

  • Identify valuable data sources and automate collection processes.
  • Undertake pre-processing of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modelling.
  • Present information using data visualization techniques.
  • Propose solutions and strategies to business challenges.
  • Collaborate with engineering, product development teams and other stakeholders.
  • Lead the development of analytics-focused products and utilizing cutting edge machine learning, natural language processing, deep learning and mathematical techniques to develop powerful data models.
  • Develop tooling to quantify and monitor model performance and generalizability.
  • Identify and build new datasets that would enhance models and decision making.
  • Set technical direction to ensure high-quality output across the team.
  • Responsible for supporting the growth and professional development of the team of data scientists.
  • Manage ML Ops platforms with Model Governance and Continuous Model Training Framework.
  • Mentor junior team members, provide technical leadership and execution guidance.

Job Requirements


  • Degree in Mathematics, Statistics, Computer Science, or a related field.
  • 8+ years of proven experience as a Data Scientist.
  • 8+ years of experience applying advanced mathematical and statistical techniques.
  • Advanced Python skills (data science stack: NumPy, Scipy, Sklearn, Pandas).
  • Analytical mind and business acumen.
  • Strong math skills (e.g. statistics, algebra).
  • Strong engineering skills and an eye for clean, maintainable code.
  • Excellent verbal and written communication skills.
  • Ability to present findings to stakeholders and communicate results to all colleagues.
  • Experience with performance tuning, architecture, and troubleshooting distributed systems.
  • Experience leading cross-functional agile work streams and scaling data-driven initiatives.
  • Exceptional multi-tasking, project management, and leadership skills.
  • Advanced knowledge of Keras, Tensorflow, Pytorch and Caffe is a must.
  • Knowledge of AWS or GCP technologies is a plus.

Our Culture

ABOUT US

Who is Omnilytics?
Meet Omnilytics. We provide actionable market analytics and insights to fashion businesses around the world so they can make their most confident decisions with clarity and speed.

Omnilytics is founded on the belief that with the right data, at the right time, in the right context that is both insightful and actionable, all of us - business owners, employees, consumers, the planet and the people our businesses affect - would be better off because an optimal decision can be made.

To do this, we invest in innovative technology and marry that with deep industry expertise to create solutions that deliver insights with speed. If this resonates with you, let’s talk!

Why join Omnilytics?
Hear it from the team itself what they love about working at Omnilytics: 
  • “I love we have no official work hours because our company upholds a Results-Oriented Work Environment (ROWE). As a mother, I really appreciate the work-life integration it provides” - Rilla 
  • “If I have to choose, it would be the diversity of the team! We have 11 nationalities working towards a common goal.” - Li Wen
  • “What I appreciate very much about Omnilytics’ is the learning culture here. Not only do we have access to learning platforms such as Coursera, our Personal Development Fund are not limited to job-specific training but we are encouraged to pick up new skills outside of our job scope.” - Dylan 
  • “I always have fun at our monthly Lunch Roulette in which we are grouped into randomised teams to have a meal together courtesy of the company to foster cross-team relationship” - Claire 
  • Other perks & benefits include
  • Well-stocked pantry & team meals 
  • Medical claims
  • Laptop allowance
  • Commute allowance 

This is your chance to join us in helping businesses around the world make better decisions with data.

Apply Now! 

OUR CULTURE

If the following sounds like you or people you like to work with, we invite you to reach out and be a part of our vision in powering the world by helping businesses make better decisions with data!

  • You genuinely believe in the power of data in unlocking business growth
  • You are disciplined and comfortable navigating a highly autonomous environment (we have no official working hours as we believe that it is not about the hours, starting or ending time, but rather what is the most productive time to produce exceptional work.)
  • You are good at gathering facts to inform your opinions and intuitions
  • You choose to fail forward by applying your learnings quickly
  • You learn quickly, eagerly and proactively
  • You embrace problems and challenges as opportunities towards greater excellence
  • You are proactive and understand knowing is not enough, you must apply and willing is not enough, you must do
  • You are flexible and adaptable towards change
  • You are able to express yourself effectively in spoken or written language, allowing others to understand what to expect
  • You collaborate effectively with others despite from different backgrounds and cultures (we have team members from 11 different nationalities)
  • You are known to be authentic, candid and non-political
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