Data Scientist

Description de la mission

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