Varahe Analytics

3 weeks ago

Noida, India Varahe Analytics Private Limited Full time

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)

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