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Lead Data Scientist

Lead Data Scientist

ValueMomentumAnand, IN
18 hours ago
Job description

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 team
  • Ensure the security and privacy of sensitive data used in analytics solutions, and comply with relevant regulations such as GDPR
  • Participate 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 delivery
  • Bachelor’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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    Lead Data Scientist • Anand, IN

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