Data Scientist

Brief Description•            Professional Experience: ~5 years of hands-on experience in data science roles with demonstrated impact in business applications. •            Technical Expertise: o            Strong programming skills in Python or R; proficiency with SQL. o            Experience with machine learning libraries/frameworks (e.g., scikit-learn, TensorFlow, PyTorch). o            Solid understanding of data structures, algorithms, and software engineering practices. •            Mathematics & Statistics: o            Strong foundation in probability, linear algebra, calculus, and optimization. o            Applied experience in hypothesis testing, regression, clustering, classification, and time-series analysis. •            Research & Application: Proven ability to apply academic research techniques and advanced algorithms to solve practical business problems. •            Data Handling: Expertise in working with structured and unstructured data, large-scale datasets, and cloud-based platforms (Azure, AWS, or GCP). •            Communication: Ability to simplify complex findings and present them to diverse stakeholders. Skills •            Experience in deploying ML models into production systems. •            Familiarity with big data technologies (e.g., Spark, Hadoop). •            Knowledge of MLOps practices for model lifecycle management. •            Exposure to deep learning, NLP, or recommendation systems. •            Background in applied economics, operations research, or optimization problems is a plus.  Preferred SkillsMode Of Work – Remote (Source candidates from Kerala and Tamil Nadu) Experience level – 5 Years Number of Positions - 1 Notice Period – Immediate joiner to 30 days, who is serving notice.