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Cognizant
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Data Scientist

Data Scientist

Cognizant

0 years

6 - 9 Lacs

hyderābād

Posted:2 hours ago| Platform: GlassDoor logo

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Skills Required

data learning analysis drive flexibility ai azure service model deployment design airflow processing automate opencv tensorflow pytorch vision dialogflow python seo management statistics payments programming

Work Mode

On-site

Job Type

Part Time

Job Description

Job Summary

Join our team as a Data Scientist where you will leverage your expertise in machine learning artificial intelligence and data analysis to drive innovative solutions. With a focus on cloud-based technologies and advanced statistical methods you will play a pivotal role in transforming data into actionable insights. This hybrid role offers the flexibility of day shifts without travel requirements making it ideal for professionals with a passion for data-driven decision-making.

Responsibilities

Develop and implement machine learning models to solve complex business problems and enhance decision-making processes.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Utilize Azure Open AI Service and Cloud AutoML to streamline model deployment and scalability.
Conduct exploratory data analysis (EDA) to uncover trends and patterns that inform strategic initiatives.
Design and maintain data pipelines using Airflow to ensure efficient data processing and management.
Apply knowledge graph techniques to enhance data connectivity and retrieval.
Implement MLOps practices to automate and optimize the machine learning lifecycle.
Leverage OpenCV and deep learning frameworks like TensorFlow and PyTorch for computer vision projects.
Develop AI-enabled chatbots using Dialogflow and natural language processing techniques.
Utilize R Statistical Package and Python for data manipulation and statistical analysis.
Optimize search engine performance through data-driven SEO strategies.
Provide insights and recommendations to improve asset and wealth management processes.
Stay updated with the latest advancements in AI and machine learning to continuously improve solutions.

Qualifications

Possess strong technical skills in statistics machine learning and artificial intelligence.
Demonstrate proficiency in cloud-based services such as Azure Open AI and Cloud AutoML.
Exhibit expertise in data analysis tools like EDA and R Statistical Package.
Have experience with AI frameworks including TensorFlow PyTorch and OpenCV.
Show capability in developing AI chatbots and natural language processing applications.
Understand the domain of cards and payments and asset and wealth management.
Be skilled in programming languages such as Python for data science applications.

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Data Scientist