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)
25 Apr 2024;
from:
careers24.com