Data Science - Consultant

Role Overview: You will work closely with business stakeholders and cross-functional subject matter experts to gain a deep understanding of the business context and key questions. Your main responsibilities will include creating Proof of Concepts (POCs) and Minimum Viable Products (MVPs), guiding them through production deployment, and operationalization of projects. Additionally, you will influence machine learning strategy for Digital programs and projects, make solution recommendations balancing speed to market and analytical soundness, explore design options, and develop analytical solutions using various tools such as Python, R, and TensorFlow. Furthermore, you will formulate model-based solutions by combining machine learning algorithms with other techniques, design, adapt, and visualize solutions, and deploy algorithms to production to extract actionable insights from large databases. Key Responsibilities: - Work with business stakeholders and SMEs to understand business context and key questions deeply - Create POCs/MVPs and guide them to production deployment - Influence machine learning strategy for Digital programs and projects - Make solution recommendations balancing speed to market and analytical soundness - Develop analytical solutions using tools like Python, R, TensorFlow - Formulate model-based solutions by combining machine learning algorithms with other techniques - Design, adapt, and visualize solutions based on evolving requirements - Deploy algorithms to production to identify actionable insights from large databases Qualifications Required: - Bachelor of Science or Bachelor of Engineering - 4-6 years of experience as a Data Scientist - Strong analytical and problem-solving skills - Advanced skills in statistical/programming software and data querying languages - Experience with Microsoft Azure or AWS data management tools - Proficiency in statistical concepts and ML algorithms - Good knowledge of Agile principles and process - Ability to lead, manage, and deliver customer business results through data scientists or professional services team - Self-motivated and proactive problem solver *Note: The job description did not include any additional details about the company.,