State Street's Bionics team has the mission to explore, enable and exploit artificial intelligence, machine learning, natural language processing, computer vision and cognitive computing at scale for multiple use cases across Global Delivery, Global Advisors, Global Markets, and Global Exchange business lines. The team brings together a good mix of capabilities in intelligence technology, quantitative modeling, data science, financial engineering, and software engineering. The team has built solutions for investment and risk management related domains such as market movement, sentiment analysis, valuation, investment strategy, fund innovation as well as operational and client experience related use cases. This team will engage the business to explore, prototype, and solution use cases while also building out a portfolio of foundational AI/ML services in the State Street hybrid cloud.

Who we are looking for
In your role as Data Science Software Engineer, you will work with other Bionics team members through the phases of use-case data exploration and prototyping to the design, implementation and deployment of the resulting AI services supporting use-cases.

What you will be responsible for
As a Data Science Software Engineer you will be...

• Working with a team of data scientists, machine learning engineers, software engineers and QA engineers to develop AI/ML services in support of our business operations
• Performing data collection, preprocessing, feature engineering, data visualization, and analysis
• Building automation of data collection and preprocessing
• Engage with business lines, users, and analysts to explore and prototype opportunities and use-cases exploiting data and the application of cognitive and machine learning technologies
• Designing, developing, testing, and supporting AI/ML microservices to operationalize and deploy resulting models and cognitive solutions
• Utilizing knowledge of data science and machine learning frameworks including PyTorch, Keras, TensorFlow, and Scikit-learn; natural language processing including generative AI LLMs, NLTK, Spacy; and cloud platforms including AWS and Azure in the performance of job duties

What we value
These skills will help you succeed in this role

• Modern, object-oriented or functional programming experience, (Java, Python, SQL)
• Data Science and Machine Learning Frameworks Apache Spark / MLlib, TensorFlow, Scikit-learn, etc...)
• Natural Language Processing (NLTK, CoreNLP, Gensim, Spacy, etc..)
• Experience with Big-Data technologies such as Spark over DataBricks
• Developing and deploying over Cloud platforms (AWS, Azure)
• Linux / Bash scripting
• Relational databases (Oracle, PostgreSQL, MySQL, etc.)
• Agile development methodology.
• CI/CD Development environments and tools (GIT, Maven, Jenkins, etc)
• RESTful Microservice APIs
• Strong analytical skills.
• Previous experience or education focused on statistics or data science is valuable.

Education & Preferred Qualifications
* Bachelors degree in Computer Science or related degree.
* Excellent programming skills and experience with Java or Python.
* Strong Database analysis and RDBMS programming skills.
* Hands-on experience with SDLC and Agile programming
* Strong organizational, multitasking, analytical and time management skills.
* Strong collaboration skills, working with multiple teams in various locations in an agile environment.

Why this role is important to us
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street
What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You'll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.
Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.
State Street is an equal opportunity and affirmative action employer.
Discover more at StateStreet.com/careers

Salary Range:
$100,000 - $160,000 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.