InfoCepts - Data Scientist - Predictive Modeling

Position : Data Scientist Type of Employment : Full-time Purpose of the Position : The Data Scientist will be responsible for designing and implementing data-driven solutions to solve business problems. This role involves working with large datasets, building predictive models, and collaborating with cross-functional teams to deliver actionable insights. The position is ideal for someone with strong analytical skills and hands-on experience in data science tools and techniques. Key Result Areas and Activities : Data Analysis & Model Development : - Develop and validate machine learning models for classification, regression, and forecasting under guidance from senior team members. - Apply standard modeling techniques using Python and common data science libraries. - Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Data Preparation & Feature Engineering : - Clean, transform, and prepare datasets for analysis and modeling. - Create and refine features to improve model performance using established techniques. - Work with SQL and data pipelines to source relevant data. Model Evaluation & Reporting : - Evaluate model performance using appropriate metrics. - Document assumptions, methodology, and results. - Support the preparation of dashboards, reports, and presentations to communicate insights. Collaboration & Execution : - Work closely with senior data scientists, data engineers, and business stakeholders to support solution delivery. - Understand business requirements and translate them into analytical tasks. - Follow established development and documentation standards. Deployment Support : - Assist engineering or MLOps teams during model deployment. - Support model monitoring activities under guidance (e.g., basic performance tracking). Essential Skills : - Strong proficiency in Python and data science libraries such as Pandas, NumPy, Scikit-learn. - Good understanding of machine learning fundamentals and common algorithms. - Experience with data preprocessing, feature engineering, and model evaluation. - Working knowledge of SQL for data querying. - Basic exposure to cloud platforms (AWS / Azure / GCP). - Familiarity with version control systems such as Git. - Basic understanding of working with large datasets; exposure to Spark/PySpark is a plus. Desirable Skills : - Exposure to deep learning frameworks (TensorFlow or PyTorch). - Basic understanding of MLOps concepts and model deployment workflows. - Familiarity with experiment tracking tools (MLflow or similar) introductory level. - Exposure to business domains such as retail, supply chain, finance, or operations. - Awareness of emerging analytics areas such as GenAI / LLMs (conceptual or limited hands-on). Qualification : - 7-9 years of experience in data science, machine learning, or analytics roles. - Bachelors degree in computer science, Engineering, Mathematics, Statistics, or a related field. Masters degree is a plus. Qualities : - Curiosity and eagerness to learn new technologies. - Strong communication and collaboration skills. - Attention to detail and commitment to quality. - Ability to work independently and in teams. - Adaptability in fast-paced environments. - Strong analytical and problem-solving abilities. Location : - Pune, Maharashtra, India Years Of Exp : - 7 to 9 years