Data Scientist - Singapore - LOGISTICS EXECUTIVE GROUP
1 week ago
Description
Our client is a global pharmaceutical leader dedicated to advancing healthcare innovation. They seek a highly experienced Data Scientist based in Singapore.Key Responsibilities:
Conduct in-depth analyses of large-scale data to uncover valuable insights shaping future product and brand strategies within a specific therapeutic area.
Research emerging technologies and methods in data science and data engineering to enhance the technical capabilities of the team.
Perform hypothesis-driven exploratory analyses, select suitable machine learning algorithms, and construct complex optimization engines to deliver impactful data solutions.
Collaborate with cross-functional teams to identify growth opportunities, define data requirements, establish crucial metrics, and advocate for data-driven products.
Present insights to senior management by effectively translating complex analyses into concise, business-focused takeaways.
Experience and Qualifications:
Degree preferably in engineering, economics, statistics, computer science, or a related quantitative field.
Proficiency in relational databases including Structured Query Language (SQL), and familiarity with large-scale distributed systems such as Hadoop or Snowflake/Databricks.
Practical experience and theoretical understanding of Machine Learning (ML) algorithms for classification, regression, clustering, and anomaly detection.Familiarity with various statistical methodologies including Bayesian and non-parametric techniques, hypothesis testing, ANOVA, Regression, and fixed and random effects, to assess experiment impact.
Hands-on experience in big data environments like Hadoop and Spark, using languages like Python and SQL in a supply chain or manufacturing context.
Ability to extract meaningful business insights from data and identify underlying patterns.Proficiency in using data visualization tools/packages such as Dash, Tableau, and Angular.
Strong communication skills for effectively presenting complex quantitative analyses to senior business executives.
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