Data Scientist

(Pre-Screening, Technical, Director, HR)

Responsibilities:

As a Data Scientist, your role is pivotal in harnessing the power of data to derive actionable insights and contribute to our analytical initiatives. Key responsibilities include:

• Apply 5 years of professional experience as a data engineer to design and implement robust data pipelines.
• Leverage Python and SQL for data processing, analysis, and modeling.
• Utilize expertise in state-of-the-art machine learning algorithms, including deep neural networks, support vector machines, boosting algorithms, and random forest.
• Apply advanced algorithms to extract meaningful patterns and insights from diverse datasets.
• Conduct advanced feature engineering to enhance model performance.
• Implement data dimension reduction techniques in a Big Data environment for improved efficiency.
• Demonstrate strong SQL skills in a Big Data environment, working with platforms like Hive and Impala.
• Conduct data analysis and extraction efficiently within large datasets.

Technical Proficiency:

• Demonstrate proficiency in handling big data environments, showcasing a nuanced understanding of data complexities and scalability challenges.
• Apply expertise in conducting comprehensive analyses and generating insights.

Minimum Education:

A Master’s degree in computer science and data science, reflecting a strong academic foundation.

Experience:

Showcase previous experience in notable sectors such as banking or e-commerce, bringing a nuanced understanding of industry-specific challenges and opportunities.

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