Data Scientist

Job Summary
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 5 years 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.

For more information you can email Marshall in our Singapore office on marshall.tan@teksystems.com quoting Job Reference Marshall 538852 or alternatively, apply here to register your interest.
http://jobs.en-sg.teksystems.com/huwNhR/data-scientist-itcommunications-singapore-16305826

EA Registration No.: TAN XIN WEI, MARSHALL , R22109465

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544