Data Science Manager
Company: Deloitte
Location: Hattiesburg
Posted on: June 14, 2022
Job Description:
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? Do you constantly wonder what you could build if only you had
access to world-class data sets and computing resources?
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.
Deloitte's Audit and Assurance business embraces the promise of
artificial intelligence and machine learning, with various forms of
AI and ML embedded in the audit technology solutions currently used
by our 10,000+ practitioners today. Within our dedicated Data
Science organization, a subgroup of our award-winning Audit
Transformation group, we continue that journey enabling the next
generation of AI-enabled solutions that usher in a future that
completely transforms the way our practitioners perform their audit
work, and the insights we can provide to our clients.
You will be joining a growing team of talented professionals in a
fast-paced yet collaborative startup-like environment dedicated to
realizing the Deloitte Audit and Assurance vision of an AI-enabled
audit. You will be leveraging the most advanced technologies in
machine learning, natural language processing, time-series
modeling, and reinforcement learning to lead our business into the
future.
As a Data Science Manager, you will lead the technical and
technological components of our Data Science workstreams and AI and
ML solutions. You will work hand-in-hand with subject matter
experts to ensure the inputs and outputs suit the intended user
experience and audit workflow. You will manage Data Scientists,
Junior Data Scientists, and developers to complete the Data Science
objectives that are required to fully develop and deploy a
production-level ML solution. This includes performing or guiding
research in an independent fashion, and interacting closely with
key stakeholders with varying levels of machine learning
experience.
Specifically, you will be expected to:
- Have a profound understanding of the state of the art of a
multitude of fields in artificial intelligence, including but not
limited to NLP, probabilistic graphical models, time-series
analysis, and weak supervised learning among others
- Lead the application of rigorous data science within your
workstream, managing and supervising junior resources to do so;
particularly:
- Perform or lead the performance of exploratory data analysis to
understand relationships and opportunities to influence outcomes,
while being able to quickly iterate common feature transformation
and model types to find the best predictive models
- Develop and document proofs of concept to verify your ideas,
including counterfactual explanations for interpretability
- Close the loop to make sure that the proposed solution is
performing as it should and is correctly understood
- Collaborate with subject matter experts to obtain a deep
understanding of the underlying business problem, and to define and
refine the corresponding technical solution
- Co-lead the planning and direction of a project with subject
matter experts, and effectively prioritize goals and
objectives
- Identify opportunities to apply the latest advancements in
machine learning and artificial intelligence to build, test, and
validate predictive models
- Make impactful contributions to internal discussions on
emerging machine learning methodologies
- Influence machine learning strategy for current and prospective
workstreams
- Actively mentor Data Scientists and Junior Data Scientists on
good software practices
- Develop and embed automated processes for predictive model
validation, deployment, and implementation
- Architect ML pipelines and actively contribute high-quality,
production-ready code (readable, well-tested, with well-designed
APIs)
Qualifications
Required:
- PhD in a quantitative field (computer science, engineering,
mathematics, physics, machine learning, statistics)
- 6+ years of industry experience leading the design,
development, and deployment of machine learning models
- Experience being the technical lead for multiple project teams
simultaneously
- Previous experience mentoring, training, and developing junior
members of the team; experience in employee performance
reviews
- Expert understanding of Python and other common languages
- Deep understanding of machine learning model development life
cycles
- Extensive experience using common machine learning and deep
learning libraries and techniques, including TensorFlow, PyTorch,
and big data platforms
- Extensive experience with cloud-based ecosystems (Azure, GCP,
AWS)
- Experience in an Agile working environment and related project
management tools (Jira, Azure DevOps, etc.)
- Demonstrated ability to write high-quality, production-ready
code (readable, well-tested, well-documented, with well-designed
APIs)
- Demonstrated ability to develop novel machine learning methods
that go beyond putting together existing open-source code, and to
apply problem-solving skills to complex issues
- Experience with version control practices and tools (Git,
etc.)
- Fluency in both structured and unstructured data (SQL,
NOSQL)
- Solid understanding of Docker, Jenkins, Kubernetes, and other
DevOps tools
- Excellent written and verbal communication skills
- Ability to travel when necessary
Preferred:
- 10+ years of industry experience leading the design,
development, and deployment of machine learning models
- Prior scientific publication history. Outstanding academic
track record as evidenced by top tier publications.
- Strong competency for additional coding languages (R,
etc.)
- Strong project management and delivery experience, including
budget oversight and staffing of project teams including time
management
- Extensive experience with Microsoft Azure, including
certification in machine learning
- Experience with machine learning pipelines (Azure ML)
- Experience with ML Ops and related governance processes,
particularly within a regulated industry
- Strong presentation skills using Microsoft Office suite (Visio,
PowerPoint, etc.)
- Understanding of the capital markets, and the role public
accounting firms
Keywords: Deloitte, Hattiesburg , Data Science Manager, Executive , Hattiesburg, Mississippi
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