Data Scientist + ML

As a Data Scientist + ML at our company, you will be responsible for extracting and analyzing data from company databases to optimize product development and marketing strategies. Your role will involve analyzing large datasets to uncover trends and insights that can drive business decisions. Leveraging predictive and AI/ML modeling techniques, you will enhance customer experience, revenue generation, and ad targeting. You will design, implement, and optimize machine learning models for various applications such as predictive analytics, natural language processing, and recommendation systems. Additionally, you will conduct experiments to fine-tune models and deploy them into production environments, ensuring scalability. To qualify for this role, you should hold a Bachelor's, Master's, or Ph.D in Computer Science, Data Science, Mathematics, Statistics, or a related field. You must have at least 2 years of experience in Analytics, Machine Learning, and Deep Learning. Proficiency in programming languages like Python and familiarity with machine learning libraries such as Numpy, Pandas, TensorFlow, Keras, PyTorch, and Scikit-learn are required. Strong experience in data wrangling, cleaning, and transforming raw data, along with developing, training, and deploying machine learning models is essential. You should have a deep understanding of machine learning algorithms and model evaluation techniques, as well as experience with cloud platforms like AWS, GCP, and Azure for model deployment and scalability. It would be beneficial if you have experience in the banking/financial services industry and familiarity with cloud-based machine learning platforms like Azure, AWS, or GCP. The job is full-time, Monday to Friday, and requires a total of 5 years of work experience, with specific requirements in Data Science (5 years), Machine Learning (3 years), Deep Learning (3 years preferred), Google Cloud Platform (2 years preferred), AWS (2 years preferred), Azure (2 years preferred), and Python (4 years required). This role is based in person in Bangalore, Hyderabad, Noida, or Chennai. If you possess excellent problem-solving skills, strong communication abilities, and the capability to work effectively in a collaborative environment, we encourage you to apply for this exciting opportunity.,