InfoCepts - Data Scientist - Predictive Modeling

Position : Data ScientistType of Employment : Full-timePurpose 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, IndiaYears Of Exp : - 7 to 9 years (ref:hirist.tech)