Data Scientist

Deloitte • San Jose, CA • 9h ago

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.

The Work You'll Do

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.

As a Data Scientist, you will be supporting the Data Science group and actively participating in the entire lifecycle of a data science project, including exploratory data analysis, feature engineering, model creation, and model optimization to boost performance and accuracy. It is important that the person in this role is proactive and independent. You should be a problem solver with an open mind and an eagerness to pick up new skills.

Specifically, you will be expected to:

Develop, test, and deploy machine learning/AI models

Collaborate daily with Data Science Managers and Senior Data Scientists to receive guidance and feedback on your work to develop your skills and ensure alignment with workstream objectives

Be a contributor to the planning and direction of a project and effectively prioritize your tasks and objectives

Contribute to internal discussions on emerging machine learning methodologies

Communicate complex concepts clearly and effectively through excellent written and verbal communication skills, ensuring alignment among team members and stakeholders

The team Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications

Required:

Undergraduate degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

2+ years of relevant experience

Experience using Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)

Coursework related to machine learning, deep learning, and programming

At least an introductory understanding of LLMs and prompt engineering

Hands-on application experience using common machine learning frameworks such as TensorFlow, PyTorch, OpenAI, and LangChain

Demonstrated ability to write high-quality code

Demonstrated ability to develop machine learning models

You should reside within a commutable distance of your assigned office with the ability to commute daily, if required

You should expect to co-locate with team members or other colleagues in a Deloitte office, at a client site and/or virtually, based on specific team and business expectations.

Ability to travel up to 10%, on average, based on the @type of work you perform and the clients served

Limited immigration sponsorship may be available

Preferred:

3+ years of relevant experience

Master's degree in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

Relevant work experience (internships, school jobs, etc.)

Familiarity with the Microsoft Azure cloud-based ecosystem, including Azure DevOps

Familiarity with machine learning model development life cycles

Experience with version control practices and tools (Git, etc.)

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 $76,600 - $157,200.

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.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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.

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