Data Scientist

Job Description As a Data Scientist, you will leverage data for effective decision-making and innovation. We seek professionals skilled in cutting-edge data science techniques and tools, contributing to our digital transformation journey. Key responsibilities include: Leverage data for decision-making and innovation in our digital transformation journey. Utilize Python, R, SQL, and Spark for data analysis and machine learning. Develop machine learning algorithms, data visualizations, and work with big data technologies (Hadoop, Spark, NoSQL databases, Hive). Use cloud computing platforms (AWS, GCP, Azure) for data processing and analysis. Design and manage data pipelines and infrastructure. Employ deep learning frameworks (TensorFlow, PyTorch, Keras, Caffe) for model building and training. Conduct statistical analysis (descriptive, inferential, regression, time series, cluster analysis). Practice data storytelling for effective communication of insights. Uphold data ethics, privacy, and unbiased analysis. Align data insights with business objectives. Manage data science projects with knowledge of agile methodologies. Develop domain-specific knowledge for relevant business insights. Requirements Demonstrable expertise in programming languages (Python, R, SQL, Spark) and machine learning. Proficiency in data visualization and big data technologies. Experience with cloud computing platforms and data engineering principles. Familiarity with deep learning frameworks and statistical analysis methods. Strong skills in data storytelling and ethical data practices. Business acumen and practical project management skills. Excellent collaborative and communication abilities. If you have similar background but do not meet all the above qualifications, we still encourage you to apply. We have several vacancies with different clients, each with varying requirements and opportunities. Your skills and experience might be a perfect fit for one of our other roles.