Posted:1 day ago|
Platform:
Work from Office
Full Time
Key Accountabilities & Responsibilities
Support the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives
Analyzing large and complex datasets to uncover trends and insights.
Supporting the development of predictive models and machine learning workflows.
Performing exploratory data analysis to guide product and business decisions.
Collaborating with cross-functional teams, including product, marketing, and engineering. Assisting with the design and maintenance of data pipelines.
Clearly documenting and communicating analytical findings to technical and non-technical stakeholders.
Basic Qualifications:
Qualificiation in Data Science, Statistics, Computer Science, Mathematics, or a related field. Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn). Operational understanding of machine learning principles and statistical modeling.
Experience with SQL for data querying.
Strong communication skills and a collaborative mindset.
Preferred Qualifications
Exposure to cloud platforms such as AWS, GCP, or Azure.
Familiarity with data visualization tools like Tableau, Power BI, or matplotlib.
Participation in personal data science projects or online competitions (e.g., Kaggle). Understanding of version control systems like Git.
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