Data Scientist Role at Phigital Care in Bengaluru / Bangalore, India
Phigital Care is seeking an experienced Data Scientist to spearhead the development of innovative, data-driven solutions. This full-time position offers flexible working hours, with a requirement to overlap with EST. The ideal candidate will possess a strong foundation in mathematical modeling, statistics, Machine Learning (ML), and Artificial Intelligence (AI), with hands-on experience in current frameworks and large language models (LLMs). You will leverage your exceptional problem-solving, critical thinking, and research abilities to manage end-to-end data science projects, explore novel methodologies, disseminate findings, and potentially contribute to patentable intellectual property.
Key Responsibilities:
Research & Innovation
- Explore and implement modern LLM orchestration frameworks and APIs (e.g., LangChain), working with both proprietary and open-source LLMs.
- Drive innovation by testing, validating, and assessing the feasibility of new data-driven products and features.
- Stay abreast of emerging technologies and trends in AI to maintain the company's cutting edge.
End-to-End Project Execution
- Lead data science projects from conception through deployment, including requirements gathering, modeling, and performance monitoring.
- Collaborate with Engineering, Product, and Business teams to define backlogs, prioritize tasks, and deliver solutions incrementally within an Agile framework.
- Ensure adherence to rigorous quality control, governance, and continuous improvement standards for all models and data pipelines.
Model Development & Deployment
- Design, build, and refine advanced predictive and prescriptive models using both traditional ML and state-of-the-art AI techniques.
- Apply best practices in feature engineering and data transformation to optimize model performance.
- Utilize advanced techniques like prompt engineering and LLM fine-tuning to address complex data challenges.
Mentorship & Technical Leadership
- Champion data-driven decision-making across the organization.
- Mentor junior data scientists and AI engineers, fostering their skill development and career growth.
- Promote best practices in code quality, version control, and reproducible workflows.
Experiment Design & Validation
- Conduct rigorous experiments (A/B testing, hypothesis testing) to validate model efficacy and business impact.
- Effectively communicate complex findings using advanced statistical methods and data visualizations to diverse audiences.
Knowledge Sharing & Intellectual Property
- Present research findings at internal seminars, external conferences, and industry events.
- Contribute to academic and industry publications and explore opportunities for intellectual property protection.
- Document findings, methodologies, and best practices to enhance organizational knowledge.
Continuous Improvement
- Identify and implement improvements for data pipelines, covering data ingestion, processing, storage, and analysis.
- Leverage DevOps and MLOps principles to streamline the model development lifecycle and ensure seamless, continuous deployments.
Skills & Qualifications:
- Education: Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field, or equivalent practical experience (minimum two years in a similar role).
- Programming Proficiency: Expertise in Python and associated libraries (NumPy, Pandas, scikit-learn, TensorFlow, PyTorch).
- Statistical & Mathematical Foundation: Strong command of advanced mathematical concepts (linear algebra, calculus, optimization) and statistical principles (probability, hypothesis testing, regression).
- Machine Learning Expertise: Proven experience in building and deploying supervised, unsupervised, and reinforcement learning models, including deep learning architectures.
- Prompt & Feature Engineering: Demonstrated ability to craft effective prompts for LLM-based solutions and strong feature engineering skills.
- LLM & Generative AI Tools: Familiarity with tools such as LangChain, LangGraph, OpenAI, Claude, Gemini, LLAMA, and other relevant LLM technologies.
- Infrastructure & Data Handling: Knowledge of data engineering practices, ETL processes, big data solutions, and cloud platforms (AWS, Azure, GCP). Familiarity with containerization (Docker) and orchestration (Kubernetes) is beneficial.
- Critical Thinking & Problem-Solving: Ability to dissect complex problems, design experiments, and innovate under uncertainty.
- Communication & Teamwork: Excellent written and verbal communication skills, with the ability to translate complex data insights into actionable business recommendations.
- Leadership: Proven track record of leading cross-functional teams, fostering consensus, and driving alignment.
- Publications & Patents: A history of publications in peer-reviewed journals, conference presentations, or patents is a plus.
Why Join Phigital Care?
- Impactful Projects: Lead high-visibility projects and develop novel data products with significant organizational value.
- Cutting-Edge Technology: Access to the latest AI frameworks, large language models, and advanced computing resources.
- Innovative Culture: An environment that encourages experimentation, learning from failure, and knowledge dissemination through patents and publications.
- Professional Development: Opportunities for mentorship, continuous learning, and showcasing expertise at various events.
- Flexible Working: Adapt your work hours to enhance work-life balance.
- Remote Work: Enjoy the flexibility of working from home.
- Provided Laptop: A high-performance laptop to ensure productivity.
If you are passionate about AI, eager to learn, and ready to tackle complex challenges with cutting-edge technology, we encourage you to apply.
