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.
Top Skills
What We Do
We integrate global leaders in web development with passionate Asian talent to get a unique blend of Quality and Affordability.
We are headquartered in California and work consistent eastern and pacific standard hours.
We like ad hoc pairing as necessary, TDD, and working with other agencies to make things happen.
We contribute to open source projects and genuinely enjoy coding. We are also committed to teaching, and spreading knowledge!
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