URGENT RESPOND BY 12/3: Principal Data Scientist - CALIFORNIA CANDIDATES ONLY, Hybrid Position in Los Angeles area

Employment Type: W2 – Direct hire with Solitsys Technologies

Important Note: This is a direct employment opportunity. Candidates hired will be employees of Solitsys Technologies on W2 basis. We are not a third-party recruiter representing another company. All application information will remain confidential and used only for recruitment within our organization.

Equal Opportunity Statement: Solitsys Technologies is an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, national origin, age, disability, sexual orientation, veteran status, or other protected categories.

Location and Work Schedule

This position is open to California Resident Candidates Only. Work location is Alhambra, CA 91803 (Los Angeles area).  It operates on a HYBRID schedule (2 days onsite, 2 days telework) with a 4/40 workweek (10-hour days, Monday–Thursday).

Are you an experienced Principal Data Scientist ready to lead a comprehensive Data Science Program? We are seeking a visionary leader to advance data-driven decision-making, accelerate the adoption of advanced analytics, and leverage modern platforms like Databricks to deliver cutting-edge predictive analytics and AI solutions. You'll play a critical role in guiding program development, providing mentorship, and building internal capacity.

Key Requirements

Education: Master’s degree or higher in Data Science, Statistics, Computer Science, or a closely related field (additional professional experience may substitute for education).

Experience: Five (5)+ years leading data science initiatives, including developing ML models and end-to-end data science workflows in production.

Platform Expertise: Three (3)+ years of experience with Databricks and similar cloud-based analytics platforms (notebook development, feature engineering, ML model training, workflow orchestration).

Advanced Analytics: Three (3)+ years applying advanced analytics and predictive modeling (e.g., regression, classification, forecasting, NLP).

MLOps: Two (2)+ years implementing MLOps practices (model versioning, CI/CD for ML, MLflow, automated pipelines, performance monitoring).

Programming: Two (2)+ years of experience with Python and SQL programming.

Mentorship: Proven mentorship capabilities, including two (2)+ years mentoring or supervising junior data scientists or analysts.

Certification: Possession of an industry-recognized certification in data science or cloud analytics (e.g., Microsoft Azure Data Scientist Associate, Databricks Certified Data Scientist, AWS Machine Learning Specialty, or equivalent).

Work Location:  Alhambra, CA, 91803