We are looking for a
data scientist to help us with data discovery, data augmentation and model
development. Your primary focus will be data mining, statistical analysis and
descriptive, predictive and propensity modelling of our customer bases. You
will also be responsible for acquisition of data sources, automation of work
flows (including scoring), and working with the business on machine learning
techniques. This position requires a minimum of a BS in a related field plus 1
or more years of experience. A masters or higher degree is preferred.
of data acquisition
mining using various languages (including SQL and NoSQL)
and enriching internal data with external sources
of statistical models
over responsibility for current models
new models to our business users
scoring of our customer base
existing models when needed
reports about model performance to end users
to business stakeholders
model results to inform marketing decisions
and experience with Python, Jupyter Notebook and other statistical/analytical
and experience with regression modelling techniques
experience with Big Data technologies including but not limited to: Sqoop,
Hive, YARN, Spark, NiFi, Kafka, HDFS, and HBase.
to write efficient code and automation routines
to work with business users
applied statistics skills
knowledge of scripting and programing languages (e.g., Perl, Python, Java)
to tackle tough problems and learn new things
in JanusGraph, Apache Ranger, Apache Atlas, and graph-based solutions.
of reporting tools (e.g. Tableau, Power BI)
of data science tools (e.g. Knime, RapidMiner)
of AI and machine learning techniques
to learn and use open-source solutions
with Agile methodologies (e.g. Scrum, Kanban, Dev/Ops)
College degree in a Technical or related field and 5-7 years professional level experience with 2-3 years supervisory experience for roles with supervision; or 9 years professional level related Technical experience with 2-3 years supervisory experience for roles with supervision; or an equivalent combination of education and professional level related Technical experience required.
EEO Statement: Employment at Windstream is subject to post offer, pre-employment drug testing. Equal Opportunity Employer including minority/female/disability/veteran; Without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status. Windstream is a drug-free workplace.