Varahe Analytics - Senior Data Scientist - NLP / Computer Vision

Job Summary :

We are looking for a highly skilled and motivated Senior Data Scientist to join our analytics team.

The ideal candidate will lead data-driven initiatives, extract actionable insights from complex datasets, and build advanced predictive models that drive strategic business decisions.

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 :

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

(ref : hirist.tech)