Senior Data Scientist

**Data Engineer**

**Data Scientist II
**Who we are**:
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.

UST is a mission-driven group of over 29,000+ practical problem solvers and creative thinkers in over 30+ countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.

With us, you’ll create a boundless impact that transforms your career—and the lives of people across the world.

**You Are**:
**The Opportunity**:

- Design, build, and maintain synthetic data models that effectively simulate flagged transactions for auditing and algorithm improvement.
- Collaborate with cross-functional teams, including data science and auditing, to understand requirements and produce synthetic data sets that align with operational data.
- Implement data anonymization techniques to comply with data privacy laws such as GDPR and CCPA.
- Architect, build, and optimize data pipelines, databases, and ETL processes to manage data flow from numerous sources
- Establish and maintain secure data storage solutions in cloud databases, data lakes, or data warehouses.
- Regularly assess and enhance data retrieval systems for performance and cost efficiency
- Monitor data quality, perform data cleaning, and ensure the integrity and reliability of synthetic data.
- Develop clear, comprehensive documentation of data engineering processes, systems, and algorithms. Education, experience, and skills required

This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.

**What you need**:

- Bachelor's or Master's degree in Computer Science, Data Science, or a similar field.
- Proven experience as a Data Engineer with a focus on synthetic data generation and data anonymization.
- Proficiency in SQL, NoSQL databases, and data modeling, along with experience in data lakes and data warehousing solutions.
- Familiarity with programming languages used for data processing, such as Python or R.
- Knowledge of data privacy regulations, including GDPR and CCPA.
- Experience with cloud platforms (AWS, GCP, Azure) and big data technologies (Hadoop, Spark) preferred.
- Strong analytical and problem-solving skills, attention to detail, and excellent communication skills. Knowledge of data visualization tools like Tableau or Power BI.

**What we believe**:
We’re proud to embrace the same values that have shaped UST since the beginning. Since day one, we’ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the center of everything we do.

**Humility**:
We will listen, learn, be empathetic, and help selflessly in our interactions with everyone.

**Humanity**:
Through business, we will better the lives of those less fortunate than ourselves.

**Integrity**:
We honor our commitments and act with responsibility in all our relationships.

**Equal Employment Opportunity Statement
**UST is an Equal Opportunity Employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.