Diverse Lynx
Data Scientist
Diverse Lynx, Concord, North Carolina, United States, 28027
• Demonstrated experience in designing and implementing complex data systems from the ground up.• Strong experience with programming languages, such as Python, SQL & Spark• Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks• Develop, refine, and optimize Advanced Analytics Solutions using machine learning models to extract insights from complex data sources.• Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R.• Experience with cloud services in AWS and/or Microsoft Azure• Experience with message brokers and event-driven architectures (e.g, MQTT, Kafka, RabbitMQ)• Experience in handling data streams, APIs, events, container orchestration products such as OpenShift, EKS, ECS.• Experience testing, troubleshooting & establishing API connectivity utilizing software documentation and tools such as Postman• Strong experience transforming data using common ETL/ELT patterns• Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools• Knowledge and/or experience in predictive modeling and machine learning is a plus.• Manufacturing Pharma experience is a plus
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.