Data Scientist

Job description

·  Job Description:

DXC Technology (DXC: NYSE) is the world’s leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The company’s technology independence, global talent and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally. For more information, visit www.dxc.com

A Data Scientist is responsible for delivering value and insights from the data and for helping companies on their journey to become data driven. Data Scientist scope can range from ad-hoc analysis of customer data and BI dashboards to state of mission critical state of the art deep learning AI product that are deployed in production

Responsibilities include:

·  Identifying and defining the scope of data science products

·  Defining technical approach, data and algorithms needed

·   Building out the data product from POC to production ready system

·  Communicating value, insight, possibilities and limitation of Data Science product for customer and internal stakeholders

Skills and Experience

•    Knowledge on a range of Machine Learning and AI techniques (e.g. supervised and un-supervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.)
•    Experience using Python, R or Spark to extract insights from data
•    Knowledge of SQL for accessing and processing data

•    Experience using the latest Data Science platforms (e.g. Databricks, Azure Machine Learning, AWS SageMaker) and frameworks (e.g. Tensorflow, MXNet, scikit-learn)
•    Software engineering practices (coding practices to DS, unit testing, version control, code review)
•    Hadoop (especially the Cloudera and Hortonworks distributions), and streaming technologies (Kafka, Spark Streaming)
•    Deep understanding of data manipulation/wrangling techniques
•    Delivering insights using visualisation tools (such as Power BI, Qlick) or libraries

•    Experience building and deploying solutions to Cloud (AWS, Azure, Google Cloud)Experience with containerisation and virtualisation (e.g. Docker, Kubernetes, VMs etc.)

•    Strong interpersonal skills with the ability to work with clients to establish requirements in non-technical language.

•    Ability to translate business requirements into plausible technical solutions for articulation to other development team members.

•    Experience designing Data Science deliveries, planning projects and/or leading teams

Domain knowledge of one or more business sector