Senior Data Scientist

7 days ago

Bengaluru, Karnataka, India Thoucentric Full time

Thoucentric Seeks Senior Data Scientist for Cloud Deployment Role

Job Description

This position involves designing, developing, and deploying machine learning models on cloud platforms to deliver business impact. As a Senior Data Scientist, you will work closely with clients to understand their needs and design solutions that meet their objectives.

Key Responsibilities:
  • Machine Learning Model Development: Develop and apply advanced machine learning models, focusing on time regression, time series analysis, and classification algorithms. Evaluate the suitability of different algorithms and choose the best approach for each problem.
  • Data Analysis and Visualization: Perform in-depth exploratory data analysis to gain insights, drive feature engineering, and inform model design. Create data visualizations to communicate findings to stakeholders.
  • Solution Strategy and Client Collaboration: Work directly with clients to understand their business challenges, advising on solution approaches and designing machine learning strategies that meet their objectives.
  • Pipeline Deployment and Management: Write efficient, production-grade Python code and implement machine learning solutions as cloud-based pipelines. Ensure seamless deployment, integration, and reproducibility.
  • Cloud Platform Expertise: Design, deploy, and manage machine learning pipelines on cloud platforms (e.g., AWS, Azure, GCP), leveraging cloud services for storage, computation, and model management.
  • Debugging, Optimization, and Best Practices: Troubleshoot, debug, and optimize code to ensure it meets production standards. Follow programming best practices, including object-oriented programming (OOP) principles, version control, and documentation.
  • Result Analysis and Communication: Analyze model results, derive insights, and present findings to both technical and non-technical stakeholders in a clear, actionable format.
RequirementsRequired Skills and Qualifications:
  • Machine Learning Expertise: Strong experience with machine learning and deep learning algorithms, across regression, time series, and classification problems. Deep understanding of the nuances and applications of each.
  • Python and OOP: Advanced proficiency in Python programming, with a strong understanding of object-oriented programming concepts and clean coding practices.
  • Cloud Platform Proficiency: Hands-on experience with cloud platforms (AWS, Azure, GCP) for deploying and managing machine learning solutions. Familiarity with services for data storage, model deployment, and workflow automation.
  • Pipeline Development and Deployment: Experience building, deploying, and monitoring end-to-end machine learning pipelines on cloud environments, ensuring reliable and scalable solutions.
  • Debugging and Optimization: Excellent debugging skills, with an ability to identify performance bottlenecks, optimize code, and enhance model accuracy.
  • Client Engagement: Proven ability to communicate with clients, understand their needs, and explain technical solutions in an accessible manner.
Preferred Qualifications:
  • Big Data Tools: Familiarity with big data tools and distributed computing frameworks (e.g., Spark, databricks) is a plus.
  • Problem-Solving Mindset: Strong analytical and creative problem-solving skills with a proactive, solution-focused approach.
Estimated Salary: $120,000 - $150,000 per year

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