Data Scientist

STEMtech; Atlanta (GA); On-site; USD 85,000 - 115,000; Full time

Job summary

STEMtech is seeking a talented Data Scientist to uncover valuable insights from large data sets. The role emphasizes machine learning and statistical analysis to support product enhancement through predictive systems integration.

Successful candidates will have excellent knowledge of machine learning, experience with tools such as R and SQL, and the capability to visualize complex data effectively. A data-oriented approach is essential for this position.

Qualifications

• Excellent understanding of machine learning techniques such as k-NN, Naive Bayes, and SVM.
• Experience with data visualization tools like D3.js, GGplot.
• Proficient in SQL and Hive query languages.

Responsibilities

• Select features and optimize classifiers using machine learning techniques.
• Process, cleanse, and verify data integrity for analysis.
• Create automated anomaly detection systems.

Skills

Machine learning techniques

Statistical analysis

Data visualization tools

SQL

Tools

R

NumPy

MongoDB

Job description

We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

• Selecting features, building and optimizing classifiers using machine learning techniques
• 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

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. Excellence in at least one of these is highly desirable
• Experience with data visualisation tools, such as D3.js, GGplot, etc.
• Proficiency in using query languages such as SQL, Hive.
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Good scripting and programming skills
• Data-oriented personality

Additional Information

All your information will be kept confidential according to EEO guidelines.

By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply