Varahe Analytics - Senior Data Scientist - NLP/Computer Vision

<p><p><b>Job Summary :</b><br/><br/></p><p>We are looking for a highly skilled and motivated Senior Data Scientist to join our analytics team.<br/><br/></p><p>The ideal candidate will lead data-driven initiatives, extract actionable insights from complex datasets, and build advanced predictive models that drive strategic business decisions.<br/><br/></p><p>You will work closely with cross-functional teams including product managers, engineers, and business stakeholders to solve challenging problems using data science and machine learning Responsibilities :</b></p><p><br/></p>- Lead the end-to-end lifecycle of data science projects including problem formulation, data collection, cleaning, exploration, feature engineering, model development, evaluation, and deployment.<br/><br/></p><p>- Develop and implement advanced statistical and machine learning models to solve complex business problems and optimize processes.<br/><br/></p><p>- Translate business objectives into data-driven solutions and communicate insights effectively to technical and non-technical stakeholders.<br/><br/></p><p>- Work with large, diverse datasets including structured, semi-structured, and unstructured data.<br/><br/></p><p>- Collaborate with data engineers and software developers to deploy scalable machine learning models in production environments.<br/><br/></p><p>- Mentor junior data scientists and analysts, fostering knowledge sharing and best practices in data science methodologies.<br/><br/></p><p>- Conduct research on new data science techniques, tools, and industry trends, and apply them to enhance existing models and solutions.<br/><br/></p><p>- Ensure data quality and integrity by designing robust data validation and testing procedures.<br/><br/></p><p>- Design experiments and A/B tests to validate model performance and business impact.<br/><br/></p><p>- Develop dashboards and visualizations to track key metrics and monitor model Skills & Qualifications :</b></p><p><br/></p>- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.<br/><br/></p><p>- A PhD is a plus.<br/><br/></p><p>- 5+ years of professional experience as a data scientist or in a related analytical role.<br/><br/></p><p>- Strong programming skills in Python and/or R; proficiency with data manipulation libraries such as pandas, NumPy, and visualization tools like Matplotlib or Tableau.<br/><br/></p><p>- Expertise in machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.<br/><br/></p><p>- Solid understanding of statistical methods, hypothesis testing, and experimental design.<br/><br/></p><p>- Experience with big data technologies (Spark, Hadoop) and SQL/noSQL databases.<br/><br/></p><p>- Familiarity with cloud platforms like AWS, Azure, or GCP for data processing and model deployment.<br/><br/></p><p>- Strong problem-solving skills and the ability to work with ambiguous data.<br/><br/></p><p>- Excellent communication skills with the ability to present complex technical concepts clearly to stakeholders.<br/><br/></p><p>- Experience working in Agile or Scrum Qualifications :</b></p><p><br/></p>- Experience in domain-specific data science applications such as finance, healthcare, ecommerce, or marketing analytics.<br/><br/></p><p>- Knowledge of natural language processing (NLP), computer vision, or time-series forecasting.<br/><br/></p><p>- Familiarity with MLOps tools and practices for continuous integration and deployment of ML models.<br/><br/></p><p>- Experience with containerization tools like Docker and orchestration platforms like Kubernetes.<br/><br/></p><p>- Publications, patents, or contributions to open-source data science projects</p><br/></p> (ref:hirist.tech)