Data Scientist (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 ideal candidate has strong technology and management experience. S/he must have solid experience using various data science/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms, creating/running simulations, and testing its real-time implication. S/he must be comfortable working with a wide range of stakeholders and functional teams, trading off design to help others. 

Responsibilities

    • Understanding and worked with database systems. 
    • Understanding and worked with machine learning algorithms.
    • Perform feature analysis.
    • Develop ontology for key market segments.
    • Develop outcome/event taxonomy for key business models.
    • Build utility code and handle miscellaneous support tasks. 
    • Documenting software projects and maintaining project documentation.
    • Working in a team environment as well as working alone.

Qualifications

    • Experience with Big Data, artificial intelligence, natural language processing, machine learning and/or deep learning.
    • Python programming skills with two (2) years or more of Python 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.
    • Master's degree or six (6) years related work experience delivering quality code on time.

Tools we use...

    • Confluence
    • JIRA
    • Spark
    • Azure
    • Python
    • Keras
    • Bit bucket
    • Jupyter Notebook
    • Scala
    • PostGres

Nice to haves...

    • Experience in some subset of the following: Java, R, Python, SQL, Scala, Spark.
    • Ph.D. in operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline. 
    • Deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, supervised learning, recommendation and optimization algorithms.
    • a sense of humor


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.