Junior Data Scientist

Description:

CALLING ALL JUNIOR DATA SCIENTISTS!!! Ready to unlock the power of data? Join us as a Data Scientist! Dive into cutting-edge projects, analyze Big Data, and craft actionable insights. Whether you're a seasoned pro or a fresh grad, we want your passion and creativity. Responsibilities:

• Apply advanced data science techniques to optimize data value extraction and analysis.
• Design, develop, and maintain projects using Big Data technologies.
• Utilize machine learning, data mining, and anomaly detection to enhance data insights.
• Present findings effectively, foster collaboration, and innovate for market growth.
• Ensure compliance with company policies and adapt to evolving responsibilities.

Requirements:

• BSc (Hons) in Computer Science or related field.
• Up to 2 years of relevant experience preferred.
• Proficiency in quantitative model building and data analytics.
• Experience with machine learning model deployment and monitoring.
• Strong communication skills for technical and client interactions Technologies:

• Big Data technologies (e.g., Hadoop, Spark)
• Machine learning frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Programming languages (e.g., Python, R)
• Cloud platforms for ML/DL solutions (e.g., AWS, Azure)

We appreciate your interest, however if you have not had any response within 2 weeks, please consider your application unsuccessful.
We also invite you to contact us to discuss your next career move in IT.

Requirements:

• Apply advanced data science techniques to optimize data value extraction and analysis.
• Design, develop, and maintain projects using Big Data technologies.
• Utilize machine learning, data mining, and anomaly detection to enhance data insights.
• Present findings effectively, foster collaboration, and innovate for market growth.
• Ensure compliance with company policies and adapt to evolving responsibilities.

• BSc (Hons) in Computer Science or related field.
• Up to 2 years of relevant experience preferred.
• Proficiency in quantitative model building and data analytics.
• Experience with machine learning model deployment and monitoring.
• Strong communication skills for technical and client interactions Technologies:

• Big Data technologies (e.g., Hadoop, Spark)
• Machine learning frameworks (e.g., TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau, Power BI)
• Programming languages (e.g., Python, R)
• Cloud platforms for ML/DL solutions (e.g., AWS, Azure)