Principal Data Scientist

Are you ready to make an impact at DTCC?

Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We're committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.

Pay and Benefits:

Competitive compensation, including base pay and annual incentive Comprehensive health and life insurance and well-being benefits Pension Paid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. DTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).

The impact you will have in this role:

The Principal Data Scientist/Engineer is responsible for architecting and leading the development of sophisticated data solutions that address complex business challenges. This role is expected to provide technical direction for data engineering tasks, guide team in leveraging Python libraries and frameworks to deliver scalable and maintainable solutions across the organization. As a senior leader, the incumbent will champion best practices, and motivate team to foster innovation and continuous improvement.

Your Primary Responsibilities:

Champion Python-Centric Data Engineering: Spearhead the adoption and optimization of Python for data engineering tasks, including data ingestion, transformation, and advanced analytics. Guide team in leveraging Python libraries and frameworks to build scalable, maintainable solutions. Architect Data Pipeline Solutions: Strategically design and implement enterprise-grade data pipelines for optimal data processing thru python and Snowflake. Establish standards for data quality, security, and integrity, and ensure seamless integration of disparate data sources and formats. Strategic Cross-Functional Collaboration: Partner with technology teams to identify opportunities for leveraging data and analytics. Translate business requirements into technical solutions and ensure that insights are actionable and aligned with organizational objectives. Lead Advanced Machine Learning Initiatives: Direct the design, development, and deployment of robust machine learning models using Python, guiding teams in data preprocessing, feature engineering, model optimization, and evaluation. Oversee the application of advanced techniques, including deep learning, regression, classification, and clustering, to solve high-impact business problems. Demonstrate accountability by taking ownership of solution ideation, development, and execution, including coordinating efforts with internal and external teams/stakeholders to present the results (reports and presentations) in a clear and concise manner. Technical Leadership and Mentorship: Provide guidance and technical leadership to junior engineers, create high-performance and reusable approaches to solve challenging problems, and cultivate a culture of excellence, continuous learning, and innovation.

Risk Management and Compliance: Integrate risk and control processes into all data engineering activities, proactively monitor for potential issues, and escalate risks as appropriate to ensure compliance with organizational standards

**NOTE: The Primary Responsibilities of this role are not limited to the details above. **

Qualifications:

Minimum of 8 years of related experience

Bachelor's degree preferred or equivalent experience

Talents Needed for Success:

Extensive experience in data engineering and machine learning model development using Python. Proven expertise in architecting data pipelines with Python and Snowflake. Strong leadership and mentorship skills, with experience managing and developing technical teams. Excellent communication and collaboration abilities. Sound understanding of data governance and risk management. Experience in Financial industry is preferred Experience in Data Visualization tools is a plus

We offer top class training and development for you to be an asset in our organization!