Associate Data Scientist

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

We are seeking an Associate Data Scientist with 3 to 6 years of experience to join our dynamic team. The ideal candidate will have expertise in Python Large Language Models (LLM) Data Science and Machine Learning. This role offers a hybrid work model with day shifts and does not require travel. You will contribute to impactful projects that drive our company's mission and benefit society.

Responsibilities

• Develop and implement data models using Python to solve complex business problems.
• Utilize Large Language Models (LLM) to enhance data processing and analysis capabilities.
• Apply data science techniques to extract insights from large datasets.
• Design and execute machine learning algorithms to improve predictive analytics.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Conduct thorough data analysis to identify trends and patterns.
• Create and maintain documentation for data models and algorithms.
• Ensure data quality and integrity throughout the data lifecycle.
• Provide technical support and guidance to team members on data science projects.
• Stay updated with the latest advancements in data science and machine learning.
• Present findings and insights to stakeholders in a clear and concise manner.
• Optimize data models and algorithms for performance and scalability.
• Contribute to the development of best practices for data science within the organization.

Qualifications

• Must have strong proficiency in Python for data analysis and modeling.
• Must have experience with Large Language Models (LLM) for advanced data processing.
• Must have a solid understanding of data science principles and techniques.
• Must have hands-on experience with machine learning algorithms and frameworks.
• Nice to have experience with data visualization tools.
• Nice to have knowledge of cloud platforms for data storage and processing.
• Must have excellent problem-solving skills and attention to detail.
• Must have strong communication skills to effectively present technical information.
• Must have the ability to work collaboratively in a team environment.
• Must have a proactive approach to learning and staying current with industry trends.
• Nice to have experience with big data technologies.
• Must have the ability to manage multiple projects and meet deadlines.
• Must have a passion for leveraging data to drive business outcomes.

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Applications will be accepted until 18 Apr 2025.

Salary and Other Compensation:

The annual salary for this position is between $[88,000 - 100,000] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock options, 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

* 401(k) plan and contributions

* Long-term/Short-term Disability

* Paid Parental Leave

* Employee Stock Purchase Plan