Senior Data Scientist - Machine Learning

Company Overview :

Krazy Mantra HR Solutions Pvt. Ltd. is a premier human capital management firm that specializes in bridging the gap between high-caliber talent and industry-leading organizations. Operating across diverse sectors including technology, finance, and manufacturing, the company provides strategic recruitment and workforce solutions. With a focus on precision and professional alignment, Krazy Mantra enables businesses to scale their operations by securing top-tier leadership and technical expertise on a global scale.

Role Overview :

To have - Azure, Time series - (XGBoost, ARIMA,SARIMA, Dart) , Forecast (Random, Linear, Regression, logistic, K-means clustering) Recent or last project, Deep Learing, Python, Pytorch, Panda Num, Azure Machine Learning Operations

Not to have : AWS, NLP, Gen AI, GenAI/ML

As a Senior Data Scientist, you will serve as a technical architect and strategic lead, driving the development of advanced analytical models that solve complex business challenges. You will collaborate closely with cross-functional stakeholders, including product managers and engineering leads, to translate ambiguous business requirements into robust, scalable data solutions. Your work will directly influence decision-making processes, optimizing operational efficiency and enhancing customer experiences through predictive insights and automated machine learning workflows.

Key Responsibilities :

- Architect and deploy end-to-end machine learning pipelines to solve high-impact business problems, ensuring models are scalable and production-ready.

- Lead the design and implementation of data engineering frameworks using Azure Data Factory and PySpark to streamline large-scale data processing.

- Conduct advanced time series analysis to forecast business trends, enabling proactive strategic planning for executive leadership.

- Develop and optimize deep learning models using Pytorch to address complex pattern recognition and predictive tasks.

- Manage the end-to-end model lifecycle, including version control, continuous integration, and deployment, by leveraging Azure DevOps practices.

- Mentor junior data scientists and provide technical guidance on best practices in model development, code quality, and cloud infrastructure utilization.

- Collaborate with stakeholders to identify data-driven opportunities that improve business outcomes and operational performance.

Required Skillset :

- Demonstrated expertise in building and deploying machine learning models using Python, with a deep understanding of statistical modeling and algorithmic design.

- Proven ability to architect data solutions within the Azure ecosystem, specifically utilizing Azure Databricks and Azure Data Factory for high-performance computing.

- Strong proficiency in developing scalable data engineering pipelines and managing complex datasets in cloud environments.

- Advanced capability in time series analysis and deep learning frameworks like Pytorch to derive actionable insights from unstructured and structured data.

- Exceptional communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders and influence senior management decisions.

- Extensive experience in managing the full MLOps lifecycle using Azure DevOps to ensure high availability and reliability of analytical services.

- A minimum of 10 to 15 years of professional experience in data science or related analytical roles, demonstrating a track record of delivering enterprise-grade solutions.

- Ability to thrive in a remote or distributed work environment, maintaining high levels of autonomy and cross-team collaboration.

(ref:hirist.tech)