Job Description

Job ID: 187321  
Required Travel: No Travel
Location: Atlanta, GA or Plano, TX Only

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

This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data.

What will your job look like?

• You will be responsible for and perform end-top-end data-based research.
• You will craft data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, demonstrating knowledge and a broad understanding of E2E business processes and requirements.
• You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership.
• You will identify and analyze new data analytic directions and their potential business impact to determine the accurate prioritization of data analytics activities based on business needs and analytics value.
• You will identify data sources, supervises the data collection process and crafts the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality.
• You will construct data models (algorithms and formulas) for required business needs and predictions.
• You will present results, including the preparation of patents and white papers and facilitating presentations during conferences.

All you need is...

• Master Degree and Ph.D. preferred. 8+ years in Data Science and Analytics with Great analytical mind and problem-solving ability with expertise to dive deeper into business context
• Candidate must have strong knowledge of Data Science and algorithms with depth understanding of Graph Theory/Graphs Ontology and semantic modeling with GraphQL or SPARQL or related experience is a must
• Candidate should know how to utilize Graphs Datasets (Neo4J or Knowledge graph Data sets) in “Data Science graphs use cases and Algorithms” (clustering, community detection, DFS, BFS, GNN and CNN and Deep Learning, etc.).
• Hands on in Python and relevant DS python packages (example: NetworkX) , Pyspark, Azure, Databricks
• Good to have knowledge of Relational AI or Nvidia graphs libraries. GPU processing
• NO-SQL(Mongo DB) querying and summarizing data
• Ability to fine tune existing model performance based on business use cases
• Added advantage with hands on experience on Databricks, Snowflake & Palantir. However, Databricks experience is must with either of 2 combinations (Palantir / Snowflake)

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!

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