Mid Level Data Scientist (Machine Learning)
MMR Research Worldwide LTD, Thailand
Job Description
Do you have a passion for Machine Learning and the advancements of AI within Data Science, we are looking for a mid-level Data Scientist to join our expanding Thailand Team!
About MMR
MMR is a modern, forward-looking Marketing Services Group with a global footprint and a $100 million USD turnover. The MMR Group brings together a highly complementary set of brands. Our engine room is a $75m+ research agency operating globally with regional offices in 10 countries and partnering with the world’s biggest FMCG players. The group also includes a branding consultancy division, a video production agency and a creative agency focused on social amp; digital content generation.
About the Team
The MMR Data Science team is highly ambitious and forms a core strand of our central business strategy. Our global team of 60 staff comprises software engineers, data analysts/modellers, statisticians and consultants. Our internal software engineering team has developed a series of class leading, tech-enabled solutions that we view as essential to equip us with a constantly evolving competitive point of difference.
We are expanding our team and looking to recruit a Mid-Level Data Scientist to assist in the design and development of custom solutions that fulfil business and client needs. This is an exciting opportunity where you will have the chance to work on green field projects as well as existing projects. Whilst we do have an office in Bangkok, the role is hybrid working arrangements.
Requirements
As a Mid-Level Data Scientist, you will be broadly familiar with most of the key aspects below, with a specialisation in a particular area. We are ideally looking for candidates with 2+ years of experience.
- Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline. (Essential)
- Experience with building AI/machine learning solutions in an enterprise setting. (Essential)
- Strong familiarity with large-language model paradigms such as prompting and retrieval strategies. (Essential)
- Experience with application frameworks such as dash, streamlit, fast API. (Esssential)
- Experience with machine learning frameworks and libraries, such as scikit-learn, pytorch, transformers, openai. (Essential)
- Ability to model both structured and unstructured data. (Essential)
- Multimodal modelling. (Essential)
- Proficiency in python and terminal (Windows amp; Linux).
- Familiarity with classical supervised methods such as random forests, support vector machines, logistic regression.
- Familiarity with neural networks such as MLPs, RNNs, transformers, as well as training methodologies.
- Understanding of word/image embeddings.
- Ability to analyse large quantities of data for rapid, accurate insights.
- Natural language processing.
- Computer vision.
- Microsoft Azure cloud platform.
- PostgreSQL and vector databases.
- Git workflow.
- Understanding both the strengths and the weaknesses of various AI amp; machine learning methodologies.
- Understanding of statistical concepts and methods, including hypothesis testing, regression analysis, dimensionality reduction, and clustering.
Desirable Soft Skills
- Ability to plan effectively and deliver to deadlines
- Clearly convey thoughts and ideas
- Positive attitude to work, with the ability to learn quickly
- Good trouble-shooting skills
- Able to work productively, both autonomously and as part of a team
- Open to mentoring junior data scientists
- Actively keep up with current developments in the field
Benefits
In return, you will receive a competitive salary, bonus, a pleasant work environment, the opportunity to make a substantial difference in the business and the chance to learn from a highly skilled team of data scientists and developers while working with new technologies and continuously improving your modelling and development skills.
At MMR, our people are central to MMR’s success and therefore we drive a culture where each individual can thrive. Some of the ways we achieve this are by operating in an open, dynamic, varied amp; non-hierarchical environment, providing bespoke training through the MMR Training Academy, giving overseas secondment opportunities and by promoting our staff purely on merit. Please send through your CV in English. MMR Research Worldwide is an Equal Opportunities Employer.