Data Scientist
Data Scientist
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Job Description
About us @Symphony
But that was only chapter one. Were now building on our purpose-built network expanding AI-powered real-time collaboration redefining flexibility with fully cloud-native software with our trader voice product and rethinking the industrys approach to identity verification connection and intelligence. .
The opportunity and our ambition are huge. But we need passionate dedicated individuals to get there. At Symphony we work hard and fast. Our unique blend of technology and financial services makes it an environment you wont get elsewhere.
Role Description:
The Analytics division of Symphony Communications is looking to fill an immediate opening for a highly skilled and motivated Junior Data Scientist / Data Scientist to join our team. As a Junior Data Scientist / Data Scientist you will play a crucial role in developing and implementing cutting-edge AI and machine learning models to extract valuable insights from large datasets. You will collaborate with cross-functional teams to drive data-driven decision-making and contribute to the development of innovative solutions.
The position is part of the Solutions Center team which is under the Market Solution Services umbrella. The position will report directly to the New York City-based Solutions Center Manager. Tasks may be supervised by other members of the Solutions Center team.
Key Responsibilities
- Data Processing:
- Analyze large complex datasets to identify trends patterns and insights relevant to financial markets customer behavior and business performance.
- Pre-process and clean large datasets to extract relevant features for modeling with an emphasis on Gen AI data preprocessing techniques.
- Collaborate with data engineers and data scientists to ensure data quality and optimize data pipelines for Predictive analytics and Gen AI applications.
- Modeling and Evaluation:
- Utilize advanced statistical and machine learning techniques including Gen AI technologies to analyze and interpret complex datasets.
- Evaluate model performance and iterate on models to improve accuracy and efficiency especially in the context of Gen AI technologies.
- Become a user of Symphonys proprietary NLP software.
- Collaboration and Communication:
- Work closely with cross-functional teams including software engineers data engineers and domain experts to integrate AI models particularly Gen AI models into applications and systems.
- Communicate complex technical concepts and findings to non-technical stakeholders in a clear and understandable manner.
- Continuous Learning:
- Stay abreast of the latest advancements in data science machine learning AI and financial technologies to bring innovative solutions to the organization.
- Contribute to the organizations innovation by exploring and implementing new Gen AI techniques and methodologies.
- Periodic availability during US EST hours for team meetings.
Required Qualifications
- Undergraduate degree preferably in Computer Science Statistics Mathematics Data Science or a related quantitative field.
- Proficiency in Python including hands-on experience with machine learning libraries and frameworks (e.g. Pandas Pytorch Tensorflow HuggingFace).
- Demonstrated experience in data science and machine learning through projects internships or prior roles with exposure to or hands on experience with Gen AI concepts and technologies.
- Familiarity with Cloud Computing Platforms (e.g. GCP AWS).
- Basic understanding of MLOps lifecycle (e.g. Git Docker CI/CD).
- Flexibility to adapt to the changing demands of a fast-paced environment.
- Willingness to learn domain knowledge in financial services insurance and other verticals represented by our client base.
- Excellent Data Storytelling and Communication Skills.
- Commitment to continuous improvement with a passion for building processes/tools to improve efficiency.
Preferred Qualifications
- Masters Degree in a related quantitative field.
- Experience applying software engineering best practices in Python such as object oriented programming (OOP) and Test-Driven Development (TDD).
- Domain expertise in Finance Banking and Financial Services or Insurance.
- Experience with prompt engineering fine-tuning and deploying LLMs.
- Understanding of RESTful APIs and experience interacting with them; experience building web APIs is a plus.
- Experience writing SQL queries (e.g. PostgreSQL SQLite); familiarity with NoSQL databases (e.g. MongoDB) is a plus.
Compensation:
- Competitive salary
- Bonus Plan
- Benefits and Perks vary based on location.
Benefits and Perks:
- Regional specific competitive benefits
- Build your own Benefits (BYOB) perk
- Many other fun and exciting benefits and activities!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion colour national origin gender 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.
Employment Type
Full Time
