Data Scientist - Python

Responsibilities : Data Exploration and Preprocessing : - Collect, clean, and preprocess large and complex datasets from various sources. - Perform exploratory data analysis (EDA) to understand data patterns, identify anomalies, and gain insights. - Implement feature engineering techniques to create relevant and informative features for modeling. Model Development and Evaluation : - Develop and implement machine learning models (classification, regression, clustering, etc.) using appropriate algorithms and techniques. - Evaluate model performance using relevant metrics and statistical methods. - Fine-tune models to optimize for accuracy, performance, and generalization. Statistical Analysis and Inference : - Apply statistical methods to analyze data, test hypotheses, and draw meaningful inferences. - Design and conduct experiments to validate hypotheses and evaluate the impact of different strategies. Communication and Visualization : - Communicate complex data insights and model findings clearly and concisely to both technical and non-technical audiences. - Create compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau to effectively convey key findings. - Present results and recommendations to stakeholders in a clear and understandable manner. Deployment and Monitoring : - Collaborate with engineering teams to deploy machine learning models into production environments. - Develop and implement monitoring systems to track model performance and identify potential issues. - Iterate on models based on real-world performance and feedback. Collaboration and Learning : - Work closely with product managers, engineers, and other stakeholders to understand business needs and translate them into data science problems. - Stay up-to-date with the latest advancements in data science, machine learning, and related technologies. - Contribute to the team's knowledge sharing and best practices. Required Skills : - Bachelor's or Master's degree in a quantitative field such as Computer Science, Data Science, Statistics, Mathematics, Economics, or a related discipline. - 3-6 years of professional experience as a Data Scientist. - Strong proficiency in Python and relevant data science libraries (i.e., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Solid understanding of machine learning algorithms and their applications. - Experience with statistical modeling and inference techniques. - Proven ability to perform data exploration, cleaning, and preprocessing. - Experience in feature engineering and selection. - Strong data visualization skills using Python libraries or tools like Tableau/Power BI. - Excellent communication and presentation skills. - Strong problem-solving and analytical skills. - Ability to work independently and collaboratively within a team environment. - Experience with SQL for data querying and manipulation. - Familiarity with version control systems (i.e. Git). Preferred Skills : - Experience with cloud computing platforms (i.e., AWS, Azure, GCP) and their data science services. - Familiarity with big data technologies (i.e., Spark, Hadoop). - Experience with deploying machine learning models in production. - Knowledge of deep learning techniques. - Experience with time series analysis or natural language processing (NLP). - Contributions to open-source data science projects (ref:hirist.tech)

Location: coimbatore, IN

Posted Date: 5/9/2025