Data Scientist

Overview

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Organizational Level 1 : [[reqOrganizational1]]

Organizational Level 2 : [[reqOrganizational2]]

Manager : [[hiringManagerName]]

Location: [[reqLocation]]

Talent Acquisition: Neeraj Trivedi

Required Travel : Minimal Open to Relocation : [[filter14]]

Referral Bonus Reward Amount * : [[erpAmount]]

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Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers’ innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers’ migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com

At Amdocs, our mission is to empower our employees to 'Live Amazing, Do Amazing' every day. We believe in creating a workplace where you not only excel professionally but also thrive personally. Through our culture of making a real impact, fostering growth, embracing flexibility, and building connections, we enable them to live meaningful lives while making a difference in the world.

In one sentence

Are you passionate about a future driven by data and intelligent systems? Do you thrive on uncovering actionable insights that fuel cutting-edge Artificial Intelligence (AI) and Generative AI (GenAI)solutions? If so, we invite you to join our dynamic and forward-thinking team!

What will your job look like?

• Collaborate with data scientists, AI/ML engineers, and product managers to define objectives and data requirements.
• Source, integrate, and evaluate data from various sources for AI/GenAI model development and evaluation.
• Prepare data for modeling, including cleaning, feature engineering, and specialized needs.
• Conduct in-depth data analysis to uncover patterns, trends, and insights.
• Support model evaluation and develop reports and metrics for tracking.
• Utilize GenAI tools to enhance analytical workflows and generate synthetic data.
• Ensure data quality, integrity, and security, and contribute to ethical AI practices.
• Monitor model performance and participate in continuous improvement.
  
  

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, or a related quantitative field.
• GenAI experience deployed to production
• Proficiency in SQL and Python or R, including libraries like Pandas, NumPy, Scikit-learn.
• Experience with visualization tools like Tableau, Power BI, Matplotlib, Seaborn.
• Basic understanding of machine learning concepts and algorithms.
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration abilities.
  
  

• Familiarity with cloud platforms like AWS, GCP, Azure.
• Knowledge of MLOps/AIOps principles and tools.
• Experience with big data technologies like Spark.
• Contributions to open-source projects or a portfolio of data analysis work.
  
  

• Impactful work in developing advanced AI and GenAI solutions.
• Innovative environment that encourages learning and experimentation.
• Professional growth opportunities in the rapidly evolving field of AI and GenAI.