Head of Data Science
We're a financial services company leveraging cutting-edge technology to provide fintech and economic solutions to the underserved Southeast Asia market. Our team comprises diverse and carefully selected finance and tech professionals worldwide.
Following the successful launch of our first product, our top-tier international talent, based in Bangkok, continues to innovate and move forward in our fast-paced, quality-driven environment.
Our journey is marked by continuous learning, growth, and a passion for our work. We remain committed to breaking new ground, adapting, and thriving amidst the challenges and opportunities that lie ahead.
Job Description: Head of Data Science
As the Head of Data Science, you will be a key leader in our organization, driving the strategic direction of our data science initiatives. You will lead a team of talented data scientists and collaborate with cross-functional teams to solve complex business problems, innovate our product offerings, and create value from data.
Key Responsibilities:
Lead and mentor a team of data scientists, fostering a culture of collaboration and excellence.
Research and develop advanced algorithms to address complex business challenges.
Build and optimize machine learning pipelines for data processing, model training, and deployment.
Implement and oversee A/B tests for deployed models, ensuring continuous improvement and accuracy.
Develop pipelines for automated data collection and processing.
Engage with stakeholders to understand business needs and develop data-driven solutions.
Create and present insightful reports and dashboards to stakeholders.
Stay abreast of the latest advancements in data science and integrate relevant innovations into our practices.
Qualifications:
Bachelor's, Master's, or PhD in Statistics, Applied Mathematics, Financial Engineering, Computer Science, Electrical Engineering, or related fields.
At least four years of experience in Data Science, with a proven track record of leadership.
Deep knowledge and experience in training and applying Machine & Deep Learning algorithms (e.g., regression/classification, Decision Trees, Bagging/Boosting, PCA, CNNs, Transformers).
Strong understanding of statistical techniques and concepts such as regression, time series analysis, statistical distributions, and statistical tests.
Proficiency in Python, R, and SQL for data processing and analysis.
Expertise in at least one Deep Learning framework: TensorFlow, PyTorch, MXNet.
Experience building data pipelines on cloud platforms like AWS, GCP, or Azure.
Familiarity with Distributed Computing tools such as Hadoop, MapReduce, and Spark.
Experience with Deep Reinforcement Learning or Graph Neural Networks is a significant plus.
Experience using MLOps tools such as Kubeflow, MLFlow, or SageMaker is highly desirable.
Knowledge of Credit Risk Modeling is a plus.
About Working With Us
This position is based in our Bangkok office.
We value in-person collaboration and do not offer remote work.
As an international team, English language proficiency is required.
Our Application Process
We approach hiring carefully, believing a transparent and thorough recruitment process is critical. If you are excited by what you’ve read and are ready for the challenge, here’s what to expect after submitting your resume:
The hiring team reviews your application.
Initial call with the hiring team.
Onsite interviews with relevant team members.
Offer.
Why You'll Love It Here
Ownership culture: Everyone at Honest receives an ESOP (Employee Stock Option Plan).
Provident Fund.
Training courses and book subsidies.
Work with some of the smartest people in the industry.
Modern office located in the heart of Bangkok.
Top-of-the-line healthcare plan.
Monthly wellness allowance.
One of the best-funded start-ups in Southeast Asia with Silicon Valley investors.
We prioritize contribution over titles or hierarchy, celebrating achievements as a team.
Honest Hiring
At Honest, we're dedicated to building the future of finance for Asia. To achieve this, we prioritize attracting the best talent worldwide, regardless of background or heritage.
We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, or any other class protected by applicable law. We are proud to be an equal opportunity workplace.