Software Engineering Lead Analyst

Provide machine learning/AI solutions to business problems by developing and modifying software application programs; Create designs and algorithms; Code, test, debug, document, and maintain software algorithms; Engage with business partners to determine requirements and meet stated needs; Serve as Subject Matter Expert for software as necessary; Support senior team members on complex projects and architects in decision making for future strategic direction; Conduct quality reviews of peers code; and Identify and implement process enhancement opportunities; Partial work from home benefit available.
2 years of experience in a related occupation.
Requires experience with: Writing custom SQL queries to support business requirements; Developing and implementing machine learning models; Developing algorithms in R and Python in the healthcare or pharma domain; Researching, proposing, and testing re-engineering and feature reduction and selection approaches for unsupervised machine learning; Developing models including data acquisition, data prep, model training, feature engineering, model optimization, and model deployment; Designing APIs, data models, sequence diagrams, and class diagrams; Persisting and serving AI models in real time deployment; Requirements gathering and writing; Data visualization, storytelling, and manipulation; and Using: Tableau, Java, SQL, Shell Scripting, cron scheduling, HQL, databricks, container platforms (AWS, Pivotal Cloud Foundry, Openshift, Hadoop), enterprise firewall and proxy, and Exploratory data analysis (EDA).
Requires a Bachelors degree or foreign equivalent in Computer Science, Information Technology & Management, or related field
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