Lead Data Scientist

2 days ago

Nagpur, India ValueMomentum Full time

Job Responsibilities:Lead all stages of data preparation, analytics & AI product development life cycle: from problem identification, conceptualization, prioritization to solution development and delivery. Contribute to hands-on development of data & analytics solutions.Collaborate with business and technology partners to co-create solutions, work on human-centered design, frictionless services, and meaningful engagement.Deliver products and solutions in a timely, proactive, and entrepreneurial manner. Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.People leadership: talent acquisition, coaching and mentoring teamEnsure the security and privacy of sensitive data used in analytics solutions, and comply with relevant regulations such as GDPRParticipate in research projects aimed at advancing the field of data science and analytics, and presenting findings at conferences or publications. Institutionalize best practices, contribute to research and experimentation efforts.Represent the firm at industry events, conferences, and workshops, presenting research findings and sharing best practices with other experts in the field.Education, Technical Skills & Other Critical Requirement:6-12 years of relevant experience in AI/ analytics product & solution deliveryBachelor’s/Master’s degree in an information technology/computer science/Statistics/ Economics or equivalent fields experience.Strong understanding of Machine Learning and Deep Learning concepts, with a focus on Natural Language Processing.Proficiency in Python programming language, with experience using libraries like PyTorch for deep learning tasks.Familiarity with Elastic stack (Elasticsearch, Logstash, Kibana) for data management and analysis.Experience in optimizing algorithms and time series forecasts.Knowledge of prompt engineering techniques to improve model performance.Ability to prototype applications using Streamlit or similar tools.Experience working with large and complex internal, external, structured and unstructured datasets.Model development and deployment in cloud; Familiarity with Github, CI/CD process, Docker, Containerization & Kubernetes.Developing and maintaining detailed technical documentation.Solution Engineering and Consultative skills: Strong conceptual and creative problem-solving skills Familiarity with agile methodologies & tools. Good written, verbal communication skills and presentation skills; engage in meaningful manner with variety of audience: business stakeholders, technology partners & practitioners, executive and senior management. Industry knowledge about emerging AI trends, AI tools and technologies

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