Data Science Associate

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 are 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. The Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance. Pay and Benefits: - Competitive compensation, including base pay and annual incentive - Comprehensive health and life insurance and well-being benefits, based on location - Pension / Retirement benefits - 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: We are seeking a Data Scientist to analyze data, develop machine learning models, and generate insights that support business decision-making. The ideal candidate will have experience in data analysis, predictive modeling, data visualization, and emerging Generative AI technologies. Your Primary Responsibilities: - Analyze large datasets using Python, SQL, Pandas, and NumPy. - Build, train, validate, and evaluate machine learning models for business use cases. - Develop dashboards and reports using Power BI to communicate insights. - Prepare and transform data through cleaning, feature engineering, and quality checks. - Apply statistical techniques and conduct A/B testing to measure business outcomes. - Work with cloud-based data platforms such as AWS and Snowflake. - Utilize Generative AI concepts, including prompt engineering and Large Language Models (LLMs). - Ensure data quality, governance, and responsible AI practices are followed. - Present findings and recommendations through clear data storytelling. - Collaborate with cross-functional teams in an Agile environment. Qualifications: - Minimum of 4 years of related experience - Bachelor's degree preferred or equivalent experience. Talents Needed for Success: - Experience with Python and SQL for data analysis and model development. - Strong knowledge of Pandas, NumPy, and machine learning techniques (Regression, Classification, and Clustering). - Experience with Power BI or similar visualization tools. - Understanding of data preparation, feature engineering, and model evaluation. - Knowledge of AWS, Snowflake, and cloud analytics platforms. - Familiarity with GenAI concepts, prompt engineering, and LLMs. - Strong analytical, problem-solving, and communication skills. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We are seeking a Data Scientist to analyze data, develop machine learning models, and generate insights that support business decision-making. The ideal candidate will have experience in data analysis, predictive modeling, data visualization, and emerging Generative AI technologies.