Senior Data Scientist

1 day ago

Mumbai, Maharashtra, India Collinson Full time
Job Description

The Senior Data Scientist will be responsible for leading the development of advanced data products, including problem definition, data acquisition, data exploration and visualization, feature engineering, algorithm experimentation, machine learning model development, evaluation, and deployment.

Key Responsibilities
  • Advanced Analytics and Model Development: Design, develop, and deliver sophisticated data products, including problem definition, data acquisition, data exploration and visualization, feature engineering, algorithm experimentation, machine learning model development, evaluation, and deployment.
  • Innovation and Prototyping: Drive innovation by rapidly prototyping proof-of-concept ideas and converting them into enterprise solutions.
  • Large Language Models (LLMs): Develop and implement advanced LLMs for various applications, enhancing the company's capability in natural language processing and understanding.
  • Forecasting: Implement advanced forecasting techniques to predict future trends and behaviours, providing valuable insights for decision-making.
  • Customer Lifecycle Management: Analyse customer data to optimize customer lifecycle management strategies, enhancing customer engagement and retention.
  • Intelligent Products: Develop intelligent products that leverage AI and machine learning to deliver enhanced customer experiences and operational efficiencies.
  • Stakeholder Management: Produce detailed reports and presentations to effectively communicate findings and recommendations to stakeholders at various levels.
  • Infrastructure Management: Oversee the management and optimization of our AWS infrastructure to ensure robust, scalable, and cost-effective data solutions.
  • Mentorship and Team Development: Mentor junior data scientists, fostering a culture of continuous learning and professional growth within the team.
Team Working
  • Actively contribute to the Data Science team dynamics and improvements.
  • Engage in internal Business Intelligence and Analytics communities to share knowledge and improve team processes.
  • Provide regular and accurate reports of progress to technical leads and the Project lead where required.
  • Build strong relationships with stakeholders to provide high-value solutions within the business while keeping communication channels open.
  • Maintain strong technical awareness and familiarity with new and upcoming technologies around Data Integration and Business Intelligence Analysis.
  • Be prepared to give presentations or provide mentoring on any new technology or skills acquired in a collegiate environment.
  • Stay abreast of industry trends and participate in external communities to keep up-to-date and offer informed positions when defining or consulting on solution design.
Qualifications
  • Extensive knowledge of data science techniques, including data preparation, exploration, and visualization.
  • In-depth understanding of data mining techniques in one or more areas of statistical modelling methods, time series, text mining, optimization, information retrieval.
  • Proven ability to produce workflows using classification, clustering, regression, and dimensionality reduction.
  • Expertise in prototyping and applying statistical analysis and modelling algorithms to solve complex problems in new domains.
Preferred Qualifications
  • Experience of working on projects centred around – Forecasting, Customer Lifecycle Management and Dynamic Pricing.
  • Experience of taking projects from prototype to delivery stages while operating in agile development methodologies.
  • Experience of working with AWS Technologies – Storage (RDBMS, S3, Redshift etc.), Compute (EC2, Lambda, Kinesis, EMR etc.) and Data Science related managed services (Sagemaker, AWS Forecast, Bedrock etc.).

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