Job
Description
Job Summary: The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling, along with the ability to derive actionable insights from complex data sets. Responsibilities: Data Collection and Preprocessing: Acquire, clean, and preprocess data from various sources to ensure data quality and reliability. Work with big data technologies and tools for efficient data processing. Exploratory Data Analysis (EDA): Conduct exploratory data analysis to understand data patterns, trends, and anomalies. Identify relevant variables and features for further analysis. Statistical Modeling and Machine Learning: Develop and implement statistical models and machine learning algorithms to solve business problems. Perform predictive modeling, classification, clustering, and regression analysis as needed. Evaluate model performance and make improvements using techniques like cross-validation and hyperparameter tuning. Collaboration and Communication: Collaborate with cross-functional teams, including data engineers, business analysts, and software developers. Communicate technical concepts and results to non-technical stakeholders in a clear and understandable manner. Provide guidance and support to team members on data-related tasks and projects. Qualifications: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. Proven experience in data analysis, machine learning, and statistical modeling. Proficiency in programming languages such as Python, R, or SQL. Familiarity with GenAI and implementing LLM Familiarity with machine learning libraries/frameworks (e.g., TensorFlow, scikit-learn, PyTorch). Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (e.g., AWS, Azure) is a plus. Strong analytical and problem-solving skills with attention to detail. Excellent communication and collaboration abilities. Ability to work independently and manage multiple projects simultaneously. Note: Job Location: Chennai, Bangalore, Pune, Coimbatore, Mumbai Work Mode: Hybrid ( 3 Days WFO and 2 Days WFH) Work Time: 2pm to 11pm ( UK Shift time) Notice Preferred: 0-30 Days
