Data Scientist

at Robert Half
Published August 24, 2023
Location Houston, United States of America
Category Data Science  
Job Type Full-time  


Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
{{Select from the above and add other responsibilities that are relevant}}
Skills and Qualifications
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc {{depending on specific project requirements}}. Excellence in at least one of these is highly desirable
Great communication skills
Experience with data visualisation tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive, Pig {{actual list depends on what you are currently using in your company}}
Experience with NoSQL databases, such as MongoDB, Cassandra, HBase {{depending on project needs}}
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills {{if you expect that the person in this role will integrate the solution within the base application, list any programming languages and core frameworks currently being used}}
Data-oriented personality
{{Mention any other technology that such person is going to commonly work with within the organization}}
{{List education level or certification you require}}
Machine Learning, Automated Trading