Principal Data Scientist

7 days ago

Alhambra, CA, United States Tech Providers Full time
Hi Professional,
I hope you're doing well and having a great day

My name is Ankish, and I work with TPI Global Solutions, a global talent solutions firm providing a wide range of staffing and consulting services to leading technology companies and professionals like you.
I came across your profile on a job portal and was impressed with your background. Based on your experience, I believe you could be a great fit for an exciting opportunity we are currently supporting.

Job Title: Principal Data Scientist
Address: Alhambra, CA (Hybrid)
Duration: 12+ month contract with likelihood for extension)

Duties:
  • The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions.
  • The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship.
  • The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts.
Skills:
  • 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments.
  • 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration.
  • 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing).
  • 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring.
  • 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms).
  • 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development.
  • 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases.
  • 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices.
Preferred Qualifications:
  • This classification requires possession of a Master's degree or higher in Data Science, Statistics, Computer Science, or a closely related field.
  • Additional qualifying professional experience may be substituted for the required education on a year-for-year basis.
  • At least one of the following industry-recognized certifications in data science or cloud analytics, such as:
  • Microsoft Azure Data Scientist Associate (DP-100)
  • Databricks Certified Data Scientist or Machine Learning Professional
    • AWS Machine Learning Specialty
    • Google Professional Data Engineer
    • or equivalent advanced analytics certifications.
  • The certification is required and may not be substituted with additional experience.
Additional Note :
  • This position is HYBRID (2 days onsite, 2 days telework).
  • Interviews will be conducted via Microsoft Teams.
  • The work schedule follows a 4/40 (10-hour days, Monday-Thursday), with the specific shift determined by the program manager.
  • Shifts may range between 7:15 a.m. and 6:00 p.m.

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