<p><p><b>Description :</b><br/><br/><b>Job Summary :</b><br/><br/>We are seeking an experienced Data Scientist to design, build, and deploy advanced machine learning models that address complex business challenges.
</p><p><br/></p><p>The ideal candidate will have strong expertise in statistical analysis, predictive modeling, and scalable data pipeline implementation.
</p><p><br/></p><p>This role requires proficiency in Python and related libraries, experience with cloud-based solutions, and a deep understanding of machine learning techniques.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and implement sophisticated machine learning models to solve high-impact business problems, ensuring accuracy, scalability, and robustness.<br/><br/>- Apply advanced statistical methods and predictive analytics to extract meaningful insights from complex datasets and support data-driven decision-making.<br/><br/>- Utilize Python extensively along with Object-Oriented Programming (OOP) principles, TensorFlow for deep learning, Numpy for numerical computing, and multi-array programming techniques to manipulate and process data efficiently.<br/><br/>- Develop and maintain reliable, reusable, and scalable data pipelines and machine learning workflows following best practices in coding and version control using GitHub.<br/><br/>- Partner closely with business stakeholders, data engineers, and product teams to identify opportunities for leveraging data and optimize existing solutions through iterative improvements.<br/><br/>- Explore, design, and implement scalable machine learning solutions on cloud platforms, primarily Azure, ensuring the models and data pipelines are production-ready and maintainable.<br/><br/>- Utilize PySpark or similar big data frameworks to process and analyze large-scale datasets efficiently when necessary.<br/><br/>- Maintain comprehensive documentation of models, experiments, and processes.
Present findings and recommendations to both technical and non-technical audiences.<br/><br/><b>Qualifications :</b><br/><br/><b>Experience :</b><br/><br/>- 5 to 8 years of professional experience as a Data Scientist or similar role involving machine learning and data analysis.<br/><br/><b>Technical Skills:</b><br/><br/>- Strong programming skills in Python with solid understanding of OOP concepts.<br/><br/>- Proficient with TensorFlow, Numpy, and multi-dimensional array programming.<br/><br/>- Experience in building, validating, and deploying machine learning models in production environments.<br/><br/>- Familiarity with version control systems, preferably Git/GitHub.<br/><br/>- Knowledge of cloud platforms with hands-on experience in Azure (or similar).<br/><br/>- Experience with PySpark or other big data tools is a strong plus but optional.</p><br/></p> (ref:hirist.tech)