Posted:1 week ago|
Platform:
On-site
Contractual
About Client:
Our Client is a multinational IT services and consulting company headquartered in USA, With revenues 19.7 Billion USD, with Global work force of 3,50,000 and Listed in NASDAQ, It is one of the leading IT services firms globally, known for its work in digital transformation, technology consulting, and business process outsourcing, Business Focus on Digital Engineering, Cloud Services, AI and Data Analytics, Enterprise Applications ( SAP, Oracle, Sales Force ), IT Infrastructure, Business Process Out Source. Major delivery centers in India, including cities like Chennai, Pune, Hyderabad, and Bengaluru. Offices in over 35 countries. India is a major operational hub, with as its U.S. headquarters.
Job Description:
Are you a data-driven individual with a passion for solving complex problems?
We are seeking an experienced and highly motivated Data Scientist to join our growing team. The successful candidate will have a strong background in statistical analysis, machine learning, and data visualization. They will work with large and complex data sets to develop insights and make data-driven decisions that drive business value.
As a Data Scientist, you will have the opportunity to work with large and complex data sets, build and maintain predictive models, and design and implement experiments to validate and refine your work. You will also have the chance to collaborate with cross-functional teams, communicate your insights to stakeholders, and stay up-to-date with the latest trends and technologies in data science and machine learning.
If you are looking for an opportunity to make a difference in a fast-paced and challenging environment, this could be the perfect role for you. Apply today and take your career to the next level!
Job Title:
Sr. Data Science Engineer
Roles & Responsibilities:
· Extract, process, and analyze large data sets to develop insights and support decision making.
· Build and maintain predictive models and algorithms to support business objectives.
· Design and implement experiments to validate and refine models.
· Communicate insights and findings to stakeholders and make data-driven recommendations.
· Collaborate with cross-functional teams to identify and solve business problems.
· Stay up-to-date with the latest trends and technologies in data science and machine learning.
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