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Measure customer engagement to drive financial results

Data Scientist

$85k – $110k • 0.01% – 0.03%
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Austin, TX - jobs.lever.co/cerebri/31e23010-9f4d-42b0-a169-f76c21258d57?lever-origin=appli…

Washington DC - jobs.lever.co/cerebri/27d40f57-ce6c-4dbc-9736-f7bda0e9600a?lever-origin=appli…

Toronto, Ontario - jobs.lever.co/cerebri/5c5fa3d6-43da-4e66-ad83-f99df906e0dd?lever-origin=appli…


Cerebri AI is an advanced customer analytics company that uses state-of-the-art AI technologies including reinforcement learning to analyze customer touchpoints across multiple channels. Cerebri AI measures a customer’s commitment to a brand or a product, at any point in time, expressed in monetary values and derive Best Actions that drive customer commitment and financial results.

Our Series A financing was led by M12 (formerly Microsoft Ventures). To date, the team has filed 11 patents pertaining to the Cerebri AI way. We now have 60 employees in three offices in Austin, Toronto and Washington DC. Over 80% of the staff are in technical roles in data science and software engineering. Our team of senior executives averages 20+ years selling and deploying software successfully to enterprises worldwide. Cerebri AI is a proud Microsoft Partner and an active member of the Mastercard Start Path network.
To learn more, visit cerebriai.com.

"Cerebri AI was named a 2019 Cool Vendor in Artificial Intelligence for Customer Analytics by Gartner"

Role:
Design, develop, test, advocate, evangelize and build data-driven products that help our customers improve business decisions. You will provide insight into analytic practices, design and lead iterative learning and development cycles.

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
Scikit-learn
Bit bucket
Jupyter Notebook
Scala
MonetdB
OrientDB


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.

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