What are the responsibilities and job description for the Senior Data Scientist with Azure- Onsite position at Cognizant?
Title : Senior Data Scientist- Onsite
Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
*This role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a highly experienced Senior Data Scientist with 10 to 14 years of experience to join our team. The ideal candidate will have expertise in Azure Machine Learning Azure Open AI Service ML Ops Machine Learning Artificial Intelligence Natural Language Processing and Python. Experience in Investment Banking Operations and Investment Banking & Brokerage is a plus. This is a hybrid work model with day shifts and no travel required.
Responsibilities
- Develop and implement advanced machine learning models to solve complex business problems.
- Utilize Azure Machine Learning and Azure Open AI Service to enhance data processing and analysis capabilities.
- Apply ML Ops principles to streamline the deployment and monitoring of machine learning models.
- Conduct thorough data analysis and extract meaningful insights to drive business decisions.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
- Design and execute experiments to validate the effectiveness of machine learning models.
- Provide technical guidance and mentorship to junior data scientists and team members.
- Stay updated with the latest advancements in machine learning artificial intelligence and natural language processing.
- Develop and maintain documentation for machine learning models and processes.
- Ensure the scalability and reliability of machine learning solutions.
- Work closely with stakeholders to understand their requirements and deliver tailored solutions.
- Leverage Python for data manipulation analysis and model development.
- Contribute to the continuous improvement of data science practices and methodologies.
Qualifications
- Possess a strong background in Azure Machine Learning and Azure Open AI Service.
- Demonstrate expertise in ML Ops and the deployment of machine learning models.
- Have extensive experience in machine learning artificial intelligence and natural language processing.
- Be proficient in Python for data analysis and model development.
- Experience in Investment Banking Operations and Investment Banking & Brokerage is a plus.
- Exhibit excellent problem-solving skills and the ability to work independently.
- Show strong communication skills to effectively collaborate with cross-functional teams.
Applications will be accepted until 03/15/2025.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.Benefits:
Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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