Senior Data Scientist

Role description

Senior Data Scientists lead data analysis projects, develop advanced models, and derive strategic insights. They mentor junior team members, design data workflows, and ensure robust data solutions. Their role involves complex problem-solving, guiding data strategies, and staying updated with industry trends to drive business decisions.

Overview

CIS is actively searching for a machine learning engineer possessing a diverse skill set, including proficiency in deep learning, computer vision, recurrent neural networks (RNN), convolutional neural networks (CNN), natural language processing (NLP), large language models (LLM), and generative models. The candidate should also be adept in TensorFlow and OpenCV, essential tools for developing and deploying machine learning and computer vision models. Objectives of this role: Design and develop machine learning algorithms and deep learning applications. Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks. Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications. Identify differences in data distribution that could potentially affect model performance in real-world applications. Ensure algorithms generate accurate user recommendations. Stay up to date with developments in the machine learning industry.

Responsibilities

Study and transform data science prototypes and apply appropriate machine learning algorithms and tools. Run machine learning tests and experiments, documenting findings and results. Train, retrain, and monitor machine learning systems and models as needed. Familiarity with server side deployment. Construct optimized data pipelines to feed machine learning models. Consult with managers to determine and refine machine learning objectives. Extend existing machine learning libraries and frameworks.

Requirements

Impeccable analytical and problem-solving skills. Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms. In-depth knowledge of machine learning frameworks like Keras or PyTorch. Familiarity with data structures, data modeling, and software architecture. Excellent time management and organizational skills. Proven experience as a machine learning engineer or in a similar role. Familiarity with Python, Java, and R. Excellent communication and collaboration skills. Innovative mind with a passion for continuous learning. General knowledge of building machine learning systems.

Qualifications

Bachelor’s degree/ Master’s (or equivalent) in computer science, mathematics, or a related field.