Senior Data Scientist
Job description
A fantastic opportunity to join a rapidly growing global tech consulting company as part of their Data and AI team. This role will work closely with financial services and healthcare clients to build cutting edge AI products and solutions.
Candidates with NLP experience, especially experience working with LLMs will do well in this role. Industry experience is nice to have but not necessary.
Responsibilities
Use Case Identification: Identify opportunities where GenAI & Machine Learning (ML) can address business challenges
Algorithm Development: Develop advanced algorithms to extract trends, patterns and predictive signals from large data.
Results Communication: Clearly communicate algorithm results, their limitations and potential for improvement.
Technology Evaluation: Assess third-party datasets and emerging technologies (e.g., LLMs, AI agents, neural networks) to improve results.
Collaboration: Work with clients and cross-functional teams to develop end-to-end solutions and gather data for machine learning applications.
Asset Development: Contribute to building reusable assets or accelerators for scalability.
Thought Leadership: Engage in research and publications to contribute to industry knowledge.
Model Deployment: Work with data engineers to deploy ML models into production environments.
Requirements
Educational Background: Bachelor's, Master's, or PhD in Computer Science, Statistics, or related field with strong academic performance.
Work Experience: At least 4-5 years in a relevant role.
ML Knowledge: Proficiency in supervised and unsupervised machine learning techniques and algorithms.
Programming Skills: Experience with statistical programming languages like Python (NumPy, pandas), R, SAS, or SPSS.
ML Frameworks: Experience with frameworks such as scikit-learn, TensorFlow, Spark MLlib, and platforms like SAS, Dataiku.
GenAI & Tools: Familiarity with tools and libraries like MLFlow, Langchain, and No-Code/Low-Code platforms (e.g., Langflow, Flowise, Rivet).
Data Management: Skills in SQL, data wrangling, and data modeling.
Advanced Techniques: Ability to apply advanced techniques such as deep learning, reinforcement learning, and NLP to solve client problems.
Cloud Deployment: Experience with deploying data solutions to cloud environments (e.g., AWS, Azure, GCP).
Team Collaboration: Willingness to collaborate in a multi-disciplinary team to develop comprehensive business solutions.
Salary: From SGD$120k - 140k per year (negotiable)
If you are interested in this job and would like to have a discussion, please contact joel@tenten-partners.com.
Equal Opportunity Statement
TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable.