Data Scientist Machine Learning Engineer

About US : Since 2008 EITACIES has been a beacon of innovation crafting tailored tech solutions. From humble beginnings weve grown globally nurturing client relationships and adapting to digital shifts. Today were a tech powerhouse delivering customized excellence from startups to Fortune 500 State & Federal clients.

Title: Data Scientist Level V / Machine Learning Engineer Level V

Location: Preferred in San Jose CA or open in Salt Lake City UT / Austin TX


Required Skill Sets:

• Experience with scientific computing language and big data knowledge including Python SQL Hive Hadoop Spark etc.
• Experience with common machine learning algorithms (SVM KNN logistic regression random forest XGBoost Neural Networks etc.)
• Develop and maintain ML/Stats models through the full model development lifespan: from data acquisition decisions through featurization focusing labeling resources model training experimentation productionalization and monitoring.
• Developed skills in the application of scientific methods to practical problems through exploratory data analysis hypothesis testing and data visualization to reach robust conclusions.
• Understanding of statistical probability distributions bias error and power as well as sampling and resampling methods.
• Expertise in the manipulation integration processing and interrogation of large datasets. Maintain data quality and support data access.
• Experience with source control tools such as GitHub and related CI/CD processes
• Ability to tackle ambiguous and undefined problems and thrive with minimal oversight and process.
• Ability to communicate and discuss complex topics with technical and nontechnical audiences

Mandatory Skills:

Python as a Programming Language

Very strong experience in building ML models

Hadoop Experience

Experience working with Security data & Fraud detection

Dealt with a significant amount of Streaming Data


Nice to have

Experience in Generative AI

Experience in security Software Development

Experience in RealTime Data Processing




Better to have or willing to learn:

Leverage data to inform strategic directions of safety signal development aid in incident response automate detection and enforcement and provide intelligence on ecosystems.

Operationalize and evolve Threat Detections metrics that measure the impact of our targeted enforcement.

Feel comfortable with analyzing and telling stories of security audit and network data and understand the context of monitor systems and threat detection.

Disseminate intelligence gathered to other safety stakeholders and executive decision makers.


Thanks

Eitacies Inc

SQL , DATA SCIENTIST , ML , RANDOM FOREST , SPARK , LOGISTIC REGRESSION , PROGRAMMING , NEURAL NETWORKS , SVM , PYTHON , HYPOTHESIS TESTING , HADOOP , GITHUB , KNN , CI/CD