Data Scientist

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.

In one sentence

Responsible for design, development, modification, debug and/or maintenance of software systems

What will your job look like?

• Leverage data to drive informed decision-making and solve complex business challenges.
• Develop and deploy machine learning models and predictive models.
• Clean, manipulate, and visualize data to extract actionable insights using tools such as Python and data visualization libraries.
• Work with cross-functional teams to interpret data and communicate findings, contributing to strategic initiatives and improving business performance.
• Demonstrate strong problem-solving skills, tackling challenging data science problems and delivering actionable solutions.
• Stay updated with the latest developments in data science and machine learning, adapting to evolving technologies and methodologies.

All you need is...

Formal Academic Background:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.

Machine Learning Proficiency:

• 3+ years of proven experience in creating and deploying machine learning models in production environments.
• In-depth knowledge of machine learning algorithms and techniques, with hands-on experience in real-world applications.
• Building, deploying pipelines and workflows, optimizing applications for data processing and analytics using Databricks (pyspark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data visualization tools such as Matplotlib, Seaborn, Tableau.

SQL and Database Knowledge:

• Strong SQL skills and experience with relational databases (e.g., Snowflake, Databricks, MySQL) and NoSQL databases (e.g., MongoDB).

Communication and Collaboration:

• Excellent verbal and written communication skills to convey complex technical findings to non-technical stakeholders.
• Ability to work collaboratively in interdisciplinary teams.

Continuous Learning and Adaptation:

• Commitment to staying updated with the latest developments in data science and machine learning.

Preferred Qualifications:

• Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
• Familiarity with Gen AI modelling techniques (Prompt engineering, RAG, Fine Tuning etc.)
• Billing domain knowledge.
• Knowledge of ethical and responsible AI practices, including bias mitigation and fairness.

Why you will love this job:

• You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour.
• You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds
• 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!