Mid-Level Data Scientist

Do you have 2+ years of experience as a Data Scientist and are looking to grow your career? Apply now to join the team at MMR Research Ltd. as a Mid-Level Data Scientist.

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 & 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 specialisation in a particular area. We are ideally looking for candidates with 2+ years of experience. Candidates with a relevant Master’s or PhD can apply with less professional experienc

Required

• Bachelor's, Master's or PhD in a quantitative field such as Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related discipline. A Master’s can substitute for up to a year of work experience and a PhD can substitute for up to 2 years of work experience.
• Proficiency in Python and terminal (Windows & Linux).
• Good understanding of object-oriented programming and familiarity with best coding practices.
• Experience with building AI/machine learning solutions in an enterprise setting.
• Experience with both machine learning and deep learning frameworks and libraries, such as scikit-learn, PyTorch, transformers, OpenAI.
• Ability to model both structured and unstructured data.
• Familiarity with classical supervised methods such as random forests, support vector machines, logistic regression, Gaussian process models.
• Familiarity with neural networks such as MLPs, RNNs, transformers, as well as training methodologies/loss functions.

Some from the following:

• Familiarity with large-language model paradigms such as prompting, retrieval, and agentic design patterns.
• Understanding of text/image embeddings.
• Multimodal modelling.
• Ability to analyse large quantities of data for rapid, accurate insights.
• Experience with application frameworks such as Dash, Streamlit, FastAPI.
• Natural language processing.
• Computer vision.
• Microsoft Azure cloud platform.
• Familiarity with PostgreSQL, graph and vector databases.
• Proficiency with Git workflow.
• Understanding both the strengths and the weaknesses of various AI & machine learning methodologies.
• Understanding of statistical concepts and methods, including significance 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 troubleshooting skills.
• Able to work productively, both autonomously and as part of a team.
• Open to mentoring junior data scientists.
• Ability to collaborate with cross-functional teams.
• 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 & 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.