Data Scientist II

Job Description

KEY ACCOUNTABILITIES 70%of Time- Excellent Technical Work Design, develop, and optimize data pipelines and ETL/ELT workflows using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) Build and maintain data architecture that supports structured and unstructured data from multiple sources Work closely with statisticians and data scientists to provision clean, transformed datasets for advanced modeling and analytics Enable self-service BI through efficient data modeling and provisioning in tools like Looker, Power BI, or Tableau Implement data quality checks, monitoring, and documentation to ensure high data reliability and accuracy Collaborate with DevOps/Cloud teams to ensure data infrastructure is secure, scalable, and cost-effective Support and optimize workflows for data exploration, experimentation, and productization of models Participate in data governance efforts, including metadata management, data cataloging, and access controls 15%of Time- Client Consultation and Business Partnering Work effectively with clients to identify client needs and success criteria, and translate into clear project objectives, timelines, and plans. Be responsive and timely in sharing project updates, responding to client queries, and delivering on project commitments. Clearly communicate analysis, conclusions, insights, and conclusions to clients using written reports and real-time meetings. 10%of Time-Innovation, Continuous Improvement (CI), and Personal Development Learn and apply a CI mindset to work, seeking opportunities for improvements in efficiency and client value. Identify new resources, develop new methods, and seek external inspiration to drive innovations in our work processes. Continually build skills and knowledge in the fields of statistics, and the relevant sciences. 5% of Time-Administration Participate in all required training (Safety, HR, Finance, CI, other) and actively GKS, and ITQ meetings, events, and activities. Complete other administrative tasks as required. MINIMUM QUALIFICATIONS Minimum Degree Requirements: Masters from an accredited university Minimum 6 years of related experience required Specific Job Experience or Skills Needed 6+ years of experience in data engineering roles, including strong hands-on GCP experience Proficiency in GCP services like BigQuery, Cloud Storage, Cloud Composer (Airflow), Dataflow, Pub/Sub Strong SQL skills and experience working with large-scale data warehouses Solid programming skills in Python and/or Java/Scala Experience with data modeling, schema design, and performance tuning Familiarity with CI/CD, Git, and infrastructure-as-code principles (Terraform preferred) Strong communication and collaboration skills across cross-functional teams For Global Knowledge Services: Ability to effectively work cross-functionally with internal/global team members. High self-motivation, with the ability to work both independently and in teams. Excels at driving projects to completion, with attention to detail. Ability to exercise judgment in handling confidential and proprietary information. Ability to effectively prioritize, multi-task, and execute tasks according to a plan. Able to work on multiple priorities and projects simultaneously. Demonstrated creative problem-solving abilities, attention to detail, ability to think outside the box. PREFERRED QUALIFICATIONS Preferred Major Area of Study: Master s degree in Computer Science, Engineering, Data Science, or a related field Preferred Professional Certifications: GCP Preferred 6 years of related experience