iLink Digital - Data Scientist - Python/Spark

Job Description : - 5 years of experience in product analytics or data science. Practical project experience in advanced data analysis, statistical modeling, and machine learning concepts is essential. Education : - Background in Computer Science/Computer Applications or any quantitative discipline (Statistics, Mathematics, Economics/Operations Research, etc.) from a reputed institute. Analytical Skills : - Analytical thinker with a passion for using data and scientific methods to solve business problems. Programming Proficiency : - Proficient with common analytical programming languages e.g. Python; expert in SQL. Experience with writing production-ready code in Python and automation. - Solid understanding of data transformations and analytics functions using tools/languages like Pandas, Sklearn, SQL, and Spark. - Experience with tools like git, mlFlow, Airflow, Cron, Docker, and Cloud Platforms such as AWS/GCP is a plus. Technical Expertise : - Strong proficiency in core Data Science, Machine Learning, and Statistical modeling. - In-depth experience in techniques from time-series forecasting and/or causal inference. - Experience with Experiment Design, Natural Language Processing, Neural Network architectures, Recommendation Systems, and Large Language Models, Generative AI (LLM) is highly desirable. Advanced Techniques : - Deep knowledge of techniques such as Linear Regression, Gradient Descent, Logistic Regression, Forecasting Time Series, Cluster Analysis, Decision Trees, Linear Optimization, and Text Mining. Specific Skills : - Must have Semantic Modeling & NER (Named Entity Recognition) experience. Pre-trained Models : - Experience working with pre-trained models, awareness of the state-of-art in embeddings and their applicability for use cases. NLP/NLG/NLU Experience : - Must have strong experience in NLP/NLG/NLU applications using popular deep learning frameworks like PyTorch, TensorFlow, BERT, Langchain, and GPT (or similar models). Generative AI Exposure : - Must have exposure to Gen AI models (LLMs) like Mistral, Falcon, Llama 2, GPT-3.5 & 4, and Prompt Engineering. Cloud Experience : - Experienced in developing and deploying data science models, especially in the Cloud environment. - Must have worked using Azure services or AWS SageMaker for ML & GenAI projects. Consultative Skills : - Demonstrated ability to engage with client stakeholders at multiple levels and provide consultative solutions across different domains. (ref:hirist.tech)

Location: hyderabad, IN

Posted Date: 5/13/2025