Blog

Hello Recruiters,

Greetings,

This is Yatika from SAGE IT Inc. I am reaching you out for an exciting position with one of our clients

Role – Senior Data Engineer/Scientist
Location – Remote 

Client: HCL (candidate should not be submitted with HCL in the past 3 months)

Contract role

USC/GC would not work

Only share candidates who are comfortable sharing PP number!!!

Job Description:

We are seeking a talented Senior Data Scientist to join our team. The ideal candidate will have a deep understanding of statistical modeling and machine learning techniques, as well as experience in data analysis and visualization using Azure, Azure Machine Learning, and Azure data science technologies. In this role, you will work on a variety of projects, including predictive modeling, data mining, and natural language processing.

Responsibilities:

• Develop statistical models and machine learning algorithms to analyze large datasets and extract insights using Azure Machine Learning
• Collaborate with cross-functional teams to identify business problems and develop solutions using Azure data science technologies.
• Conduct data analysis and visualization to communicate findings to stakeholders using Power BI and other Azure tools Design and implement experiments to test hypotheses and improve model performance using Azure Machine Learning Develop and maintain predictive models to support decision-making processes using Azure Machine Learning Work with engineering teams to deploy models into production environments using Azure technologies
• Stay current with industry trends and research in machine learning and data science, with a particular focus on Azure technologies Mentor junior data scientists and provide guidance on best practices for using Azure and other data science tools.

• To be responsible for providing technical guidance to a team of developers, enhancing their technical capabilities and increasing productivity.
• To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure succeful delivery of complex projects.
• To ensure process compliance in the assigned module, and participate in technical discussions or review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
• To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure and closure of escalations.

Requirements:

• Master’s or PhD in Computer Science, Statistics, Mathematics, or a related field
• Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks
• Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics
• Strong communication skills and the ability to present complex data in a clear and concise manner, using tools such as Power BI
• Experience with big data technologies, such as Hadoop or Spark, is a plus
• Strong problem-solving skills and the ability to work independently or as part of a team
• Experience in the industry domain is a plus, as is experience with Azure Machine Learning and other Azure technologies
• If you are a highly motivated, results-driven individual with a passion for data science and machine learning, particularly with Azure and other cloud-based technologies, we would love to hear from you.

‘This e-mail and any attachments to this e-mail are intended for the exclusive use of the addressee(s) and may contain proprietary, confidential or privileged information. If you are not the intended recipient, please immediately delete or destroy all copies or versions you have of this e-mail, you should not disseminate, distribute or copy this e-mail. Please notify the sender immediately at [email protected] in order that we may take steps to prevent any further inadvertent disclosures. WARNING: Computer viruses can be transmitted via email. The recipient should check this email and any attachments for the presence of viruses. The company accepts no liability for any damage caused by any virus transmitted by this email. www.sageitinc.com‘