Data Scientist

We are seeking an innovative Senior Data Scientist at Devsinc to spearhead a technical team and derive actionable insights from raw data. 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.

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.