Lead the way in technology with onepoint as a Senior Data Scientist
Onepoint is a global niche consultancy offering business advisory and technical delivery services in design, data, collective intelligence and digital platforms. With more than 3000 employees in 15 different offices around the world, we help organisations achieve their business goals through 'beyond the obvious' information technology, so that they have an impact on, and add value to, their customers and employees now and in the future.
We want to create a world in which organisations become smarter, more sustainable and more efficient. We align business with IT, we transform ideas into reality, and we supply in demand.
What you'll do:
• Learn and understand a broad range of data resources and know when, how, and which to use and which not to at any given time
• Manipulate and analyse complex, high-volume, high-dimensionality data from various sources using a variety of tools, data analysis techniques, and data... science methodology, and use them to identify trends and reach meaningful conclusions
• Design data modelling processes to create algorithms and predictive models and perform custom analysis
• Design, build, deploy, produce, and operate life cycles of machine learning pipelines
• Partner with customers to define and execute the critical insights required to make informed business decisions
• Be a hands-on technical lead who can own, drive, and develop insights from conception to release
• Act as a catalyst for insights innovation, aligned to both tactical and strategic business insights efforts
• Ensuring insights are both actionable and measurable and you should be able to build these insights and hypothesis with awareness of practical implementation and implications for the business
• Empower and mentor existing employees to further the team’s data science capabilities and capacity
We'd love you to have:
• Bachelor’s degree or PhD in an analytical area such as Mathematics, Statistics, Engineering, Machine Learning, Artificial intelligence, or relevant fields with experience in working with AI, ML and Data Science
• Experience with projects of network science
• Extensive experience with feature engineering
• Experience of getting insights by overlaying multiple datasets
• Proficient in a data science language like Python, R, Scala
• Proficient with machine learning packages like scikit-learn, TensorFlow etc.
• Experience with Cloud base AI/ML tools and data analytics tools in GCP is preferable
• Experience with the build, deploy, produce, and operate life cycles of machine learning pipelines.
• Experience working with large, distributed data sets to derive actionable insight
• Familiar with Power BI / Google Looker dashboard development
• Interpersonal communication and ability to leverage the data to tell a story
• Collaboration and program management skills
• Logical & systematic, team player, fast learner
• Familiar with Agile and working in a Scrum Team
Essential Skills
• NLP, image processing knowledge is a plus
• Proficiency in network science is essential
• Proficiency in feature engineering is essential
• Proficiency in at least one programming language, i.e : Python, Go, C/C++, etc
• Good understanding of different AI/ML models/algorithms
• Familiarity with at least one Deep Learning framework
What we offer:
• Hybrid environment 💻
• Innovative operating model 💡
• Learning organisation 📚
• Monthly event 🥂
• Multicultural team 👫
• Generous employee referral program 💰
• Work from anywhere policy (up to 4 weeks/year) 🌎
Join our mission to align business with IT, transform ideas into reality and supply in demand. Apply now and take your career to the next level with onepoint!
We value diverse skill sets, and don’t necessarily require that you’re skilled with all of the above. If you feel you don't fit all the experience/skills listed above, we still encourage you to apply or get in touch!
At onepoint, we are committed to creating a diverse environment and are proud to be an equal opportunities employer – we welcome applications from diverse communities
Malaysia