We need a couple of data scientists to support our client’s strategic
analytics vision immediately. H1B sponsorship is available for this position
now or in the future if necessary. OPT/CPT candidates are welcome to apply
too. Please send your resume to hr@quaxigma.com
Quaxigma is a data analytics startup company based in great Chicago area.
Our mission is deliver value to businesses by increasing data maturity as a
business asset and pioneering innovation by implementing analytical
platforms to transform business operations and drive organic business growth
.
The Data Scientist is responsible for applying advanced analytics including
both descriptive and predictive analytics to support number of business use
cases such as to improve customer payment collection, workforce management,
operation efficiency, grow global accounts, pricing, and customer
acquisitions. This role will need to understand business requirements,
conduct quick research, and generate fast prototyping by working closely
with business partners. This role will need to communicate findings to
ensure models are well understood and incorporated into business processes.
Key Responsibilities
• Design and build models / algorithms to drive predictive &
prescriptive analytics to accelerate business decisions and drive real-time
analytical insights
• Research and brainstorm with internal stakeholders to identify
advanced analytics opportunities to advance automation, help with knowledge
discovery, support decision-making, gain insights from data, streamline
business processes, and enable new capabilities
• Lead efforts in advanced analytics solutions to produce value
corporate’s unstructured and structured data assets utilizing methodologies
from machine learning, deep learning, artificial intelligence, and natural
language processing
• Develop end-to-end efficient model solutions that drive
measurable outcomes. Manage the model development lifecycle, including both
working with IT partners to identify what data are needed, and training the
business end-users on how to leverage the modeling output
• Work with senior leaders in development, assessment, improvement,
and transfer of solutions to stakeholder teams as needed
• Prepare documentation, reports, and presentations that explain
advanced analytics concepts, technology, and inner workings of solutions to
broader teams including non-technical audiences
Job Qualifications
• At least 1 year experience in solving complex business problems
using data science, statistical techniques & machine learning to build
predictive & prescriptive solutions
• MS required or PhD preferred in a quantitative field such
statistics, econometrics, operations research, computer science, applied
mathematics
• Proven experience in managing and manipulating large, complex
datasets
• Demonstrated experience in executing on complex projects,
extracting, cleansing, and manipulating large, diverse structured and
unstructured data sets on relational – SQL, NOSQL databases
• Working knowledge of machine learning/artificial intelligence.
These technical skills include, but not limited to, regression techniques,
neural networks, decision trees, clustering, pattern recognition,
probability theory, stochastic systems, Bayesian inference, statistical
techniques, deep learning, supervised learning, unsupervised learning
• 2+ years of hands-on experience with programming languages such
as R, Python and common machine learning packages such as dplyr, gbm, glmnet
, randomForest, caret, H2o, Numpy, Pandas,scikit-learn, keras, tensorflow,
etc.
• Good communication and presentation skills, with the ability to
tailor the communication style to the right audience
• Experience working in an agile environment with iterative
development & business feedback
• Experience providing insights to support strategic decisions,
including preparing and delivering insights and recommendations