Senior Data Scientist
Company: Transaction Network Services
Location: Reston
Posted on: June 13, 2022
|
|
Job Description:
An extraordinarily talented group of individuals work together
every day to drive TNS' success, from both professional and
personal perspectives. Come join the excellence!OverviewThe Data
Scientist focus specializes in developing and programming methods,
processes, and systems to consolidate and analyze unstructured,
diverse "big data" sources to generate insights and solutions for
client services and product enhancement. Identifies insights from
data and metadata sources, interpreting and communicating findings
to management.ResponsibilitiesHave you ever received a phone call
or text message from a scammer or other unwanted robocaller? Has
someone called you to get you to give out personal or financial
information under suspicious circumstances? Would you like to know
that when you get a phone call that it's from a trusted source and
they are who they say they are? If you have a passion for building
machine learning models with big impact on everyday lives and have
experience with large scale cloud-based data then the TNS Data
Science team has an amazing opportunity for you in one of our US
locations (Reston, VA or Seattle, WA). We are looking for a Senior
Data Scientist with 5+ years of experience to join our team and own
several horizontal and vertical solutions for classifying and
scoring billions of calls every day.The TNS Data Science team works
with terabytes of network transaction, enterprise and network
metadata, web and mobile application data that TNS collects on
nearly 2 Billion wireless and wireline subscribers in the US and
Canada. We combine this with direct user feedback from dozens of
carrier-branded apps and websites that help us, in real-time,
detect and stop spam campaigns with our proprietary machine
learning and data processing algorithms. Some of America's largest
telecom carriers and millions of wireless and wireline subscribers
in the US use our mobile apps and data platform to block dangerous
callers and alert subscribers to potential spam callers. We have an
aggressive roadmap to incorporate dozens of other data sources and
model architectures to expand our product offerings and improve the
performance of our services both in terms of accuracy (precision
and recall) and performance and scalability.ResponsibilitiesPerform
exploratory analysis to understand trends and patterns in data from
multiple sources and work with data engineers to design data
pipelines to implement features and logic for our machine learning
and signaling systems.Design machine learning models to score and
categorize phone calls and text messages that maximizes the
detection of spam or fraudulent calls while ensuring our customers
get the calls they want and need.Utilize AWS and on-premise
capabilities to develop components of our MLOps infrastructure that
can create reusable parts from your designs.Collaborate with other
data scientists, analysts, and engineering teams to evaluate model
performance and deploy ML models to production and measure their
performance.QualificationsJob qualifications:Minimum of Master's
degree, Ph.D., or equivalent demonstrated experience in Predictive
Analytics, Statistics, Mathematics, Engineering, Operations
Research, Computer Science, or related technical discipline.3+
years' experience with AWS and private cloud Hadoop datasets using
Scala, Spark or Hive as well as SQL is required.Minimum of 5 years
of work experience in data modeling using Python, R, or similar
statistical package with large datasets in a public or private
cloud computing environment.Minimum of 3 years of experience in two
or more of the following: generalized linear models, regression
models, ensemble models, resampling methods, natural language
processing, model validation and testing, dimensionality reduction,
clustering, feature engineering.Demonstrated experience with the
full data science lifecycle - exploratory data analysis,
visualization, training/test corpus development, model design and
evaluation in a large-scale computing environment.Preferred
Qualifications:Experience with spam or fraud detection using
tree-based and neural network architectures for heavily class
imbalanced classification, reputation scoring, and outlier
detection.Expertise in predictive modeling using both supervised
and unsupervised learning techniques and measuring model
performance.Experience in data transformation and encoding large
feature spaces into lower dimensions or novel measurements to
improve performance and model effectiveness.Experience with
time-series modeling and predictions.Experience in Natural Language
Processing (NLP) and text processing
methods/models.Qualifications5-10 plus years of experienceIf you
are passionate about technology, love personal growth and
opportunity, come see what TNS is all about!TNS is an equal
opportunity employer. TNS evaluates qualified applicants without
regard to race, color, religion, gender, national origin, age,
sexual orientation, gender identity or expression, protected
veteran status, disability/handicap status or any other legally
protected characteristic.
Keywords: Transaction Network Services, Reston , Senior Data Scientist, Other , Reston, Virginia
Click
here to apply!
|