Operations Research Engineer (2021 Q4)

Austin TX or Toronto ON or Washington DC /
Data Science /
Full-time
About Cerebri AI
 
Cerebri AI is the creator of CVX, an end-to-end platform that automates AI processes from data engineering to the next best actions for multiple KPI and thus achieves CI. CVX 3 platform delivers the fastest time to market with production-ready BI and AI insights while not forgoing the quality that every enterprise or network operator expects from their analytics initiatives. Key to this performance is the fact that all processing on CVX is event-based.
 
CVX 3 platform implements Continuous Intelligence for classification, recommendation, and next best actions. It is designed to scale horizontally with data sources, event rates from said sources, KPIs management, BI insights, and AI insights. Continuous Intelligence ( CI ) is the ability to integrate raw data, calculate engineered data into datasets in real-time, score KPIs, generate insights seamlessly at scale. CI is essential to time-series processing. CI is the sine qua non for time-sensitive management of multiple Key Performance Indicators ( KPI ).
 
CI enables a slew of positive business outcomes and use cases:
·      Dynamic personalization: Serve content, propose products, promote services, or execute actions
·      Dynamic customer cohort creation: Determine cohorts of similar behavior or tuned to specific KPIs
·      Scalable actions across segments of customers
·      Usage-based/behavior-based pricing models: Insurance based on behavior
·      Abnormality and fraud detection: Identify and prevent unauthorized activity
·      Security and remediation: Detect issues and alert responders in exponentially less time than traditional security through intelligent analyses
·      Network performance: Monitor and respond to network performance issues faster
·      IoT analytics: Unify disparate data sources to reduce costs and improve performance
·      IOT TCO: Reduces the cost of installation by reducing tuning and maintenance 
 
How do we do this? We hire the best data scientists, mathematicians, and software developers and work as a cross-disciplinary team/gang/clan. We work hard, laugh hard, and impress our peers and clients. Because we can. And because we want to. To learn more, visit cerebriai.com. In the meantime, if you think you have what it takes, give us a spin and upload your resume.
 
"Cerebri AI was recognized as 2019 Cool Vendor for Customer Journey Analytics by Gartner."

The perfect candidate must be able to analyze, design, develop, test, and build data-driven products that help customers leverage machine learning with workflows, optimizations, and policies to improve KPIs    

Responsibilities

    • Create mathematical models of problems to show conflicting objectives, alternatives, restrictions.
    • Design and develop statistical, mathematical, econometric and various other scientific techniques for system assessment.
    • Conduct data preprocessing, transformation, and perform statistical analysis.
    • Observe customer’s operational systems and gather data about issues so the workflow and policies can be modelled and characterized.
    • Develop business procedures such based on operation research and/or game theory.
    • Understanding and worked with enterprise software system.
    • Documenting software projects and maintaining project documentation.
    • Working in a team environment as well as working alone.

Qualifications

    • Experience with data science, artificial intelligence, applied statistics, integer/linear/dynamic programming, mathematical optimization, stochastic systems.
    • Experience with semantic systems.
    • Python or Scala or R or MATLAB programming skills with two (2) years or more experience.
    • Good verbal and written communication skills.
    • Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
    • Ph.D./MSc in operations research, applied statistics, data mining, machine learning, or a related quantitative discipline. 

Tools we use...

    • Confluence
    • JIRA
    • Spark
    • Azure, AWS, Kubernetes
    • Python, Scala (some R, some MATLAB)
    • Keras, Scikit-learn, PANDAS, Numpy
    • Bit bucket, GitHub
    • Jupyter Notebook
    • Postgress, Parquet
    • JavaScript, airflow, Pulsar
How do we do this? We hire the best data scientists, mathematicians, and software developers and work as a cross-disciplinary team/gang/clan. We work hard, laugh hard, and impress our peers and clients. Because we can. And because we want to. To learn more, visit cerebriai.com. In the meantime, if you think you have what it takes, give us a spin and upload your resume.


Specify your location preference if we were to move away from all remote.