Deloitte Audit-Transformation- Senior Data Scientist in Stamford, Connecticut
Senior Data Scientist
Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? If yes, we have just the role for you.
In Deloitte's Audit and Assurance business, we make businesses and markets better. An audit is more than an obligation; it is an opportunity to see further and deeper into businesses. In our role as independent auditors, we enhance trust in the companies we audit, helping a multitrillion dollar capital markets system function with greater confidence. As we aspire to the very highest standards of audit quality, we deliver deeper insights that can help clients become more effective organizations.
You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs.
The work you'll do:
As a Senior Data Scientist, you will focus on supporting the Data Science group and actively participate in the entire lifecycle of a data science project, with a focus on feature engineering, creating models, and boosting their performance and accuracy, as well as guiding and supervising more junior resources.
Specifically, you will be expected to:
Apply rigorous data science practices on your specific assigned workstreams through the entire data science development and deployment lifecycle
Develop high-quality, production-ready code (readable, well-tested, with well-designed APIs)
Collaborate daily with Data Science Managers to solve complex data science problems that emerge within your workstream and others.
Collaborate with subject matter experts to obtain an understanding of the underlying business problem, and to define and refine the corresponding technical solution.
Be a key contributor to the planning and direction of a project and effectively prioritize goals and objectives
Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application
Effectively explain technical concepts
Our culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Our audit support professionals are committed to excellence and to enhancing the trust of the investing public and capital markets. Quality is our top priority, and by focusing on innovation, we continue to raise the bar of quality and deliver greater value to our clients. Learn more about Deloitte Audit.
Bachelor's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
3+ years of industry experience designing, developing, and deploying machine learning models
Solid understanding of machine learning model development life cycles
Deep knowledge in at least one of our core competencies (NLP and generative AI, Anomaly Detection, Time Series, Knowledge Graph)
Understanding of LLMs and prompt engineering
Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)
Extensive experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)
Experience with at least one cloud-based ecosystem (Azure, GCP, AWS)
Experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI and LangChain
Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
Excellent verbal and written communication skills
Ability to travel up to 10%, on average, based on the work you do
Limited immigration sponsorship may be available
Master's degree or PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)
Extensive experience with Microsoft Azure, including certification in machine learning
Experience with machine learning pipelines (Azure ML)
Experience in an Agile working environment and related project management tools (Jira, Azure DevOps, etc.)
Proficiency in utilizing prompt engineering techniques to effectively guide the generation process and obtain desired outputs from language models.
Knowledge of finetuning techniques for language models, including methods to adapt and customize pretrained models for specific generative tasks, such as text generation, summarization, or dialogue systems.
Public AI-related projects you have developed available on GitHub
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $84,300 to $191,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.