Data Scientist

Mandatory Skills

Secondary

• More than 6 years of experience in Data Engineering, Data Science and AI / ML domain
• Excellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)
• Experience in Cloud native skills.
• Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an asset
• Analytical mind and business acumen and Strong math skills (e.g. statistics, algebra)
• Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.
• Experience with NLP, NLG and Large Language Models like – BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.
• Great communication and presentation skills. Should have experience in working in a fast-paced team culture.
• Experience with AIML and Big Data technologies like – AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databases
• Good understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.
• Should be a data-oriented person with analytical mind and business acumen.