Data Scientist

Job Description : The Data Scientist will be responsible for analyzing complex data sets to derive actionable insights and drive data-driven decision-making within the organization. This role requires expertise in machine learning, natural language processing (NLP), deep learning, and cloud technologies. Key Responsibilities : 1. Data Analysis and Modeling : - Analyze large datasets to identify trends, patterns, and correlations using statistical techniques. - Develop predictive models using machine learning and deep learning algorithms to solve business problems. 2. Natural Language Processing (NLP) : - Implement NLP techniques to analyze textual data and derive insights from unstructured data sources. - Build and optimize models for tasks such as sentiment analysis, text classification, and entity recognition. 3. Time Series Analysis : - Conduct time series analysis and forecasting to support business decision-making and trend analysis. - Develop models to predict future values based on historical data. 4. Generative AI (GenAI) : - Explore and implement generative AI techniques to enhance existing models and create innovative solutions. - Stay updated on advancements in generative AI and assess their applicability to business use cases. 5. Cloud Integration : - Utilize cloud platforms for data storage, processing, and model deployment. - Ensure scalability and efficiency of data science solutions by leveraging cloud technologies. 6. Collaboration and Communication : - Work closely with cross-functional teams, including engineering, product, and business stakeholders, to understand data needs and requirements. - Present findings and insights to technical and non-technical audiences through clear visualizations and reports. Required Skills & Qualifications : Experience : 3 years of experience in data science, machine learning, or a related field. Technical Skills : - Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Strong knowledge of NLP techniques and libraries (e.g., NLTK, SpaCy, Hugging Face). - Experience with time series analysis and forecasting methodologies. Programming Skills : - Proficient in programming languages such as Python or R. - Familiarity with data manipulation and visualization tools (e.g., Pandas, Matplotlib, Seaborn). Cloud Technologies : Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage and model deployment. Analytical Skills : Strong analytical and problem-solving skills with a data-driven approach. Preferred Qualifications : Education : Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. (ref:hirist.tech)

Location: chennai, IN

Posted Date: 11/21/2024