This Data Scientist position emphasizes a combination of advanced data science expertise and hands-on data engineering capabilities. The role will focus on utilizing AI and machine learning to optimize processes, enhance decision-making, and improve efficiency. This position requires a strong command of both model development and deployment processes, including the use of Azure cloud solutions, Elastic/OpenSearch for data indexing and monitoring, and generative AI for innovative solutions. The ideal candidate will bring a collaborative, cross-disciplinary approach to effectively build and scale data solutions across the organization. Pay rate 55-70hr depending on experience.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
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3+ years of experience in data science and data engineering roles, including hands-on experience with data modeling and pipeline architecture.
Proficient in Python and relevant ML libraries such as Keras and TensorFlow; experience with data engineering tools like Apache Kafka, Airflow, and database systems (MySQL, PostgreSQL).
Solid understanding of machine learning algorithms, statistical modeling, and data structures.
Proficiency with ElasticSearch/OpenSearch for real-time data indexing, search, and anomaly detection.
Experience with Azure cloud solutions, including data storage, compute resources, and AI/ML services.
Familiarity with GenAI and large language models for enhancing automation and data processing.
Understanding of Infrastructure as Code (IaC) principles and experience with Terraform or similar tools
Experience in deploying machine learning models and creating predictive analytics workflows in Azure or AWS environments.
Knowledge of Kubernetes, Prometheus, and Grafana for infrastructure monitoring.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.