SENIOR SCIENTIST - Machine Learning

Happiest Minds is hiring for a Senior Data Scientist for its advanced research team in CoE Analytics practice. This is a challenging role which involves working on cutting edge problem statements, combing through scientific research, and designing innovative and impactful solutions. Why this role is unique: ? Deep Technical Autonomy: We value independent problem-solvers. You will have the freedom to research and implement the latest developments in ML and Bioinformatics (from GNNs for protein folding to LLMs for genomic sequences) to solve unique challenges. ? Full-Stack Ownership: You won?t just pass off a notebook to an engineer. You will develop, validate, and deploy your own solutions, giving you end-to-end visibility into the impact of your work. ? High-Stakes Innovation: Working at the intersection of Data Science and Bioinformatics means your work contributes directly to goals like drug discovery, early stage diagnostics etc. The Ideal Profile: You are a Senior Data Scientist with 4-5+ years of experience who feels equally at home in a Linux terminal, a stakeholder meeting, and a research paper. You are a quick learner who isn't intimidated by new domains and thrives in environments where the answer isn't in a textbook yet. Responsibilities: ? Understand the problem statement on a first principles basis and create innovative solutions tailoring to the specific use case of the client. ? Create robust data ingestion pipelines, extracting meaningful features from raw, noisy signals. ? Design, build, and validate machine learning models and statistical frameworks. ? Apply advanced computational methods to large-scale biological datasets (e.g., genomics, proteomics, or clinical trial data) to drive discovery or operational efficiency. ? Research and implement novel architectures or algorithms when "off-the shelf" solutions are insufficient. Required Skills: ? Bachelor?s degree from a reputed institute. ? Minimum 4 years of experience in AI/ML role. ? Prior experience handling biological data formats (e.g., FASTQ, BAM, VCF) and familiarity with tools like Bioconductor, GATK, or AlphaFold is highly preferred. ? Proficiency in Python, GCP/AWS, version control (Git), Docker, Kubernetes, pipeline orchestration (Airflow/Nextflow/Snakemake). ? Good understanding of data analysis techniques, machine learning fundamentals, deep learning, LLM architectures. ? Strong grasp of statistics, linear algebra, and calculus as applied to deep learning and predictive modelling. Strong mathematical background and affinity for theoretical research. ? Ability to grasp new concepts quickly and ?think out of the box? ? Strong communication skills

Machine Learning, Deep Learning, Python