- Data Analysis and Modeling: Use advanced statistical and machine learning methods to look at large datasets, find useful information, and create predictive models that help businesses make decisions.
- Algorithm Development: Come up with, create, and use cutting-edge methods and formulas to fix tough business issues, make processes run more smoothly, and boost product performance.
- Feature Engineering: Find important factors and features in datasets to make models more accurate and reliable, using your knowledge of the field and your imagination to come up with new ideas.
- Visualizing data: Make interesting graphs and charts to share information with the right people, so that everyone in the company can make decisions based on accurate data.
- Collaboration and Leadership: Work together with people from different areas to understand what the business needs, set project goals, and give insights and solutions that can be put into action. Help and guide your team's newer members and create an environment where everyone is always learning and growing.
- Model Evaluation and Optimization: Carefully look at how well the model works, what its flaws are, and keep making changes to it to make it more accurate, scalable, and efficient.
- Data Governance and Compliance: Make sure that data governance policies and legal requirements are followed. This will keep data safe, private, and secure throughout its entire lifecycle.
- Continuous Learning and Innovation: Keep up with the latest developments in data science, machine learning, and other related areas, and look for ways to use new technologies and methods to solve business problems.
- Bachelor's degree in computer science, statistics, math, or a related area. A Master's or Ph.D. degree is preferred.
- At least eight years of work experience in data science, machine learning, or a related field, with a history of providing useful solutions in a business or academic setting.
- Knowing how to code in languages like Python, R, or Scala, and having experience with tools for data manipulation and analysis (like Pandas, NumPy, and SciPy).
- Telecom domain (RF/OSS) background is a plus.
- Strong knowledge of statistical ideas and methods, such as testing hypotheses, doing regression analysis, and planning experiments.
- You should know how to use machine learning methods like controlled and unsupervised learning, ensemble methods, deep learning, and natural language processing.
- Excellent presentation and communication skills, and the ability to explain complicated technical ideas in a way that non-technical users can understand and use.
- Proven ability to work well in a changing, fast-paced workplace, handling many tasks and priorities at once and meeting deadlines.
- Strong problem-solving skills and attention to detail, as well as a strong desire to use data-driven methods to drive innovation and continuous improvement.
- Drive growth by constantly looking for opportunities to bring more value to new and existing customers. You will have overall responsibility and authority for Amdocs testing engagement with the customer.
- Be a key member of a global, dynamic and highly cooperative team with various possibilities for personal and professional development.
- You will have the opportunity to work in a multinational environment for the global market leader in its field.
- We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace
- We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave
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Data Scientist - Bellevue, United States - Amdocs
Description
Who are we?
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 approximately 30,000 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 $4.89 billion in fiscal 2023.
hat will your job look like?
All you need is...
Why You Will Love This Job
Amdocs is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to fostering a diverse and inclusive workforce
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