We're seeking a proactive Data Scientist to drive data-driven insights. Your role includes defining project goals, performing exploratory data analysis, selecting appropriate machine learning models, and communicating findings effectively. Collaboration with Data/ML engineers, infrastructure development, and staying updated with industry trends are key.
Responsibilities
Work closely with stakeholders to define project objectives, gather requirements, and pinpoint data sources.
- Perform exploratory data analysis, delivering iterative analyses to refine the problem at hand and explore potential solutions.
- Choose and develop the most suitable machine learning algorithms or statistical models to address specific business inquiries.
- Interpret and convey analytical findings and insights to both technical and non-technical team members.
- Collaborate with Data/ML engineers to seamlessly integrate models and algorithms into production systems.
- Play a part in enhancing data science infrastructure, as well as creating tools and frameworks to facilitate efficient data analysis, experimentation, and model deployment.
- Stay current with industry trends and identify best practices, incorporating them to foster excellence within the Data & Analytics team.
- Ensure that the delivery of solutions aligns with Agile methodologies.
Requirements
- Minimally 3 years of experience as a Data Scientist with a proven track record of delivering impactful data-driven solutions.
- Proficiency in Python and SQL, with demonstrated expertise in data manipulation and analysis using libraries such as Pandas, Polars, NumPy, and SciPy.
- Strong command of machine learning frameworks and libraries, including PyTorch and scikit-learn, along with proficiency in data visualization tools like matplotlib and seaborn.
- In-depth knowledge of machine learning algorithms, encompassing regression, SVM, gradient boosting, LSTNs, Transformers, and other techniques, with a specific focus on working with time series datasets.
- Familiarity with cloud platforms, particularly AWS and Azure.
- Exceptional problem-solving abilities, underpinned by the capacity to think critically and analytically.
- Effective communication skills, enabling the presentation of complex concepts and findings to both technical and non-technical stakeholders.
- Self-motivated and a good team player.
- Demonstrated domain expertise in commodities, spanning Sales, Trading, Risk, Supply Chain, Customer Interaction, and related areas, is highly preferred.
- Strong background and experience in Natural Language Processing and Large Language Models are highly advantageous.
- Proficiency in implementing optimization methods, including linear programming, is a valuable asset.
- Familiarity with geospatial analysis is a beneficial addition to your skillset.
We regret to inform that only shortlisted candidates will be notified / contacted.
EA Registration No.: LEE YAO HONG MALCOLM , R22109832
Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544
