SENIOR SCIENTIST - Machine Learning

Role Overview:

As a Senior Data Scientist at Happiest Minds, you will be part of the advanced research team in the CoE Analytics practice. This challenging role involves working on cutting-edge problem statements, delving into scientific research, and crafting innovative and impactful solutions. You will have the opportunity to exercise deep technical autonomy, take full-stack ownership of your solutions, and contribute to high-stakes innovation at the intersection of Data Science and Bioinformatics.

Key Responsibilities:

• Understand problem statements from first principles and devise innovative solutions tailored to specific client use cases.
• Develop robust data ingestion pipelines to extract meaningful features from raw, noisy signals.
• Design, build, and validate machine learning models and statistical frameworks.
• Utilize advanced computational methods on large-scale biological datasets (e.g., genomics, proteomics, clinical trial data) to drive discovery and operational efficiency.
• Research and implement novel architectures or algorithms when standard solutions are inadequate.

Qualifications Required:

• Bachelor's degree from a reputed institute.
• Minimum 4 years of experience in an AI/ML role.
• Prior experience with 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 modeling.
• Strong mathematical background and affinity for theoretical research.
• Ability to grasp new concepts quickly and think innovatively.
• Strong communication skills. Role Overview:

As a Senior Data Scientist at Happiest Minds, you will be part of the advanced research team in the CoE Analytics practice. This challenging role involves working on cutting-edge problem statements, delving into scientific research, and crafting innovative and impactful solutions. You will have the opportunity to exercise deep technical autonomy, take full-stack ownership of your solutions, and contribute to high-stakes innovation at the intersection of Data Science and Bioinformatics.

Key Responsibilities:

• Understand problem statements from first principles and devise innovative solutions tailored to specific client use cases.
• Develop robust data ingestion pipelines to extract meaningful features from raw, noisy signals.
• Design, build, and validate machine learning models and statistical frameworks.
• Utilize advanced computational methods on large-scale biological datasets (e.g., genomics, proteomics, clinical trial data) to drive discovery and operational efficiency.
• Research and implement novel architectures or algorithms when standard solutions are inadequate.

Qualifications Required:

• Bachelor's degree from a reputed institute.
• Minimum 4 years of experience in an AI/ML role.
• Prior experience with 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 modeling.
• Strong mathematical background and affinity for theoretical research.
• Ability to grasp new concepts quickly and think innovatively.
• Strong communication skills.