Data Scientist

Required Skills

• Proficient in Data Structures & Algorithms
• Advanced knowledge of Python and SQL
• In-depth understanding of Statistics and probability concepts
• Expertise in Machine Learning and deep learning libraries such as Scikit-learn, Keras, Tensorflow, PyTorch, etc.
• Deep understanding of supervised and unsupervised ML algorithms like Logistic and Linear Regression, Gradient Descent, Decision Trees, SVM, Naive Bayes, Bagging and boosting, K-Means Clustering, Hierarchical clustering, PCA, etc.
• Knowledge of deep learning concepts like Neural Networks, CNNs, RNNs, Backpropagation, Attention, Transformers, etc.
• Experience working with LLMs like LLAMA, GPT, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with AWS cloud services: EC2, EMR, Redshift, SageMaker
• Experience with Flask, and MLflow for deploying and tracking ML models.
• Knowledge of building LLMs applications with frameworks like Langchain/Llama-index is plus

Responsibilities

• Conducting extensive ML research and developing new ML use cases for products.
• Mentoring Junior data scientists and Interns to deliver data science projects 
• Conducting Exploratory Data Analysis (EDA) on various datasets to identify trends and patterns
• Utilizing a wide range of Machine Learning and deep learning techniques to solve complex business problems
• Creating, maintaining, and scaling data pipelines to process large amounts of data
• Perform ad-hoc analyses of data stored in MySQL/Postgres databases and writes SQL scripts, stored procedures, functions, and views
• Deploying machine learning models and data pipelines to the cloud using various tools such as SageMaker, Flask, EC2, etc.