Value Momentum Software - Lead Data Scientist - Predictive Modeling & Artificial Intelligence (1-5 yrs)

Job Responsibilities :

- Analyze complex data sets to identify trends, patterns, and insights that can drive business decisions.

- Design and develop predictive models, algorithms, machine learning, and artificial intelligence techniques to improve the accuracy and efficiency of analytics solutions.

- Collaborate with cross-functional teams to ensure the data used is accurate, relevant, and up to date for analytics purposes.

- Contribute to hands-on development of data & analytics solutions.

- Deliver products and solutions in a timely, proactive, and entrepreneurial manner.

- Accelerate solution delivery using re-usable frameworks, prototypes and hackathons.

- Follow MLOps principles to ensure scalability, repeatability, and automation in the end-to end machine learning lifecycle.

- Developing and maintaining detailed technical documentation.

- Stay up to date on industry trends and new technologies in data science and analytics, and apply this knowledge to improve the firm's analytics capabilities.

Education, Technical Skills & Other Critical Requirement :

- 0-5 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.

- Strong conceptual and creative problem-solving skills.

- 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.