SparkCognition is a global leader in cognitive computing analytics. A highly awarded company recognized for cutting-edge technology, SparkCognition develops AI-Powered cyber-physical software for the safety, security, and reliability of IT, OT, and the IIoT. Our technology is capable of harnessing real time sensor data and learning from it continuously, allowing for more accurate risk mitigation and prevention policies to intervene and avert disasters.

In 2017, we won the #1 fastest growing startup in Austin from the Austin Business Journal.

SparkCognition is looking for innovative Data Scientists to join our team to help create the next generation of analytics and artificial intelligence solutions. At SparkCognition, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in Financial trading and portfolio optimization.

Responsibilities

Building models to solve specific problems. This includes, but is not limited to:

Processing, cleansing, and verifying the integrity of data used for analysis
Feature engineering using various techniques for the enhancement of data
Performing feature selection on original and generated data
Using machine learning tools to develop and train models
Performing efficacy testing of the models

Building automated tools that enable data scientists to more effectively perform tasks such as data cleaning, feature generation, feature selection, or model building
Performing ad-hoc analysis and presenting results in a clear manner
Working with a team to help solve new, never-before-solved challenges in financial trading and portfolio optimization.

Skills and qualifications

Understanding and experience using machine learning techniques and algorithms, including but not limited:

Linear Models, Neural Networks, Decision Trees, Bayesian Techniques, Clustering, Anomaly Detection, and more
Experience with data science languages, such as Python, R, MatLab, etc
Experience with machine learning frameworks, such as PyTorch, TensorFlow, Theano, Keras, etc
Strong statistics skills
Experience managing large volumes of data (terabytes or more)
Great communication skills
Good scripting and programming skills, especially Python
Graduate degree (or equivalent industry experience), Ph.D. preferred, in Computer Science, Statistics, Physics, Mathematics, Economics, or a related scientific discipline

Desirable skills and qualifications

Computational finance experience with modeling financial time series
Familiar with capital markets including equities, fixed income, foreign exchange, and commodities
Exposure to risk management and portfolio optimization techniques
Experience with Tableau
Experience with distributed computing, such as Hadoop, Spark, or an MPP environment

SparkCognition is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and/or expression, national origin, protected veteran status, disability, genetics, or citizenship status (when otherwise legally authorized to work) and will not be discriminated against on the basis of such characteristics or any other status protected by the laws or regulations in the locations where we operate. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]