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 techniques.

Key Responsibilities :

- 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 effectiveness.

Required Skills & Qualifications :

- 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 teams.

Preferred Qualifications :

- 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