Jobs Details

Senior Data Scientist

• By Alumni Placement Officer Fizza Riaz
• Full Time
• Devsinc

The ideal candidate will combine expertise in data science, machine learning, and cutting-edge technologies such as DevOps, MLOps, and Retrieval-Augmented Generation (RAG). They will also integrate modern tools like LangChain, LlamaIndex, and Agentic RAG for scalable, intelligent solutions.

As the Senior Data Scientist, you will manage a multidisciplinary team of data professionals, plan and execute advanced projects, and build analytics models that align with our business objectives. Strong problem-solving skills, a passion for innovation, and experience in data engineering and MLOps pipelines are critical for success in this role.

Leadership and Team Management

• Manage a team of data scientists, machine learning engineers, big data specialists, and DevOps/MLOps experts
• Foster collaboration across technical and business teams to deliver impactful data-driven solutions
  
   

Data Science and Machine Learning

• Lead data mining, collection, and preparation procedures while ensuring data quality and integrity
• Build and deploy analytic systems, predictive models, and LLM-powered solutions
• Experiment with state-of-the-art models, including LangChain, LlamaIndex, and RAG architectures
• Design and implement Agentic RAG workflows for dynamic, context-aware systems
  
   

Data Engineering and MLOps

• Oversee the development and optimization of robust data pipelines
• Implement MLOps best practices for scalable, automated machine learning deployments
• Leverage CI/CD pipelines and containerization tools (e.g., Docker, Kubernetes) to streamline operations
  
   

Analytics and Reporting

• Interpret complex data problems, extract insights, and visualize results through intuitive reports and dashboards
• Collaborate with stakeholders to align data initiatives with organizational goals
  
   

Innovation and Experimentation

• Stay updated on emerging technologies and integrate them into existing workflows
• Experiment with LLM-based solutions and advanced generative AI methodologies
  
   

Requirements: Degree in Computer Science, Data Science, Mathematics, or a related field. A master's or Ph.D. is a plus.

Required Skills:

Experience and Expertise

• Proven experience as a Data Scientist, Machine Learning Engineer, or similar role
• Solid understanding of machine learning, data engineering, and LLM-based technologies
• Familiarity with LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) techniques
• Hands-on experience with DevOps and MLOps practices, including CI/CD pipelines and containerization
  
   

Technical Skills

• Proficiency in Python, R, MATLAB, and frameworks like TensorFlow or PyTorch
• Strong knowledge of SQL and NoSQL databases, big data tools (e.g., Spark, Hadoop), and data visualization techniques
• Expertise in building and deploying scalable ML pipelines and APIs
  
   

Soft Skills

• Strong organizational, leadership, and project management abilities
• Excellent communication skills, with the ability to convey technical concepts to non-technical audiences
• A strategic mindset with a focus on aligning data projects with business objectives

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