Principal Software Engineer
About The Position
As a Principal Data Scientist, you will lead the alignment of business challenges with the most effective data science and machine learning solutions, ensuring a tailored fit between client needs and technical approaches across diverse industries and stakeholder groups. We will count on you to collaborate closely with multiple client stakeholders—including technical and non-technical audiences—to clarify objectives, iterate on requirements, and ensure solutions deliver measurable business value. Along the way, you will get to: Lead strategic solution design for data science and machine learning projects Drive projects through all phases of the data science lifecycle, from data discovery to deployment and feedback Architect and implement scalable data science and ML solutions using Google Cloud Platform (GCP), including Vertex AI, and leverage modern data engineering tools such as dbt and Databricks Mentor team members, promote best practices, and foster a culture of innovation and continuous learning Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
Requirements
- Advanced degree (PhD or MS) in Operations Research, Industrial Engineering, Applied Mathematics, or related field
- Strong foundation in optimization algorithms, stochastic modeling, and systems analysis
- Proficiency in Python and various ML and simulation libraries (TensorFlow, PyTorch, Scikit-learn)
- Experience with Google Cloud Platform services including Vertex AI, BigQuery, and AI Platform, or equivalent experience in Azure/AWS
- Experience with healthcare data, clinical research protocols, and regulatory compliance
Responsibilities
- Lead strategic solution design for data science and machine learning projects
- Drive projects through all phases of the data science lifecycle, from data discovery to deployment and feedback
- Architect and implement scalable data science and ML solutions using Google Cloud Platform (GCP), including Vertex AI, and leverage modern data engineering tools such as dbt and Databricks
- Mentor team members, promote best practices, and foster a culture of innovation and continuous learning
Benefits
- Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year
- Access to 11 thriving and diverse Teammate Resource Groups
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
