Software Engineering & Development-Assistant Manager

About the Role

We are seeking a highly skilled and motivated Senior Associate - Data Science with 6-10 years of experience to join our team. The ideal candidate will have strong expertise in Python programming , advanced Python concepts, and machine learning , with hands-on experience in data wrangling and building scalable models. Familiarity with modern ML frameworks and deployment practices is essential. Exposure to business intelligence tools and cloud platforms is a plus.

Key Responsibilities

• Design, develop, and optimize machine learning models for predictive and analytical solutions.
• Perform data wrangling and preprocessing on structured and unstructured datasets using libraries like Pandas and NumPy .
• Implement advanced Python techniques for automation and performance optimization.
• Build and evaluate models for classification, regression, and clustering tasks using frameworks such as Scikit-learn , TensorFlow, or PyTorch.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Document workflows, models, and processes for reproducibility and knowledge sharing.
• Stay updated with emerging trends in ML, AI, and Python ecosystems .

Required Skills

Preferred Skills

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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