Deloitte Senior Data Scientist, Audit Transformation in Princeton, New Jersey
Are youpassionate about AI and its potential to help people make better decisions? Do you dream of building algorithms that understandunderlying relationships among data sets?Are you interested in applying machinelearning to novel business challenges?
If you answered YES! to these questions, come andjoin our team NOW, we NEED you!
Asa Senior Data Scientist at Deloitte, you will be helping to bring largequantities of data to life, revealing anomalies in complex data patterns and byoffering deep causal insights to better support decision-making.
Youwill be joining a growing team of talented professionals dedicated to bringingto reality Deloitte s vision of Cognitive Digital Audit bydesigning, building andmaintaining cutting-edge applications that improve the efficiency and qualityof our audit services.
Youwill be leveraging the most advanced technologies in machine learning, naturallanguage processing, time-series modeling and reinforcement learning to lead audit into the future of business and technologyinnovation.
Our AuditTransformation organization is rapidly expanding and needs brilliant datascientists like you to drive our continuing innovation and growth. Ifyou re intellectually curious, hardworking and solution-oriented, you ll fitright into our fast-paced, collaborative environment, and along the way, you llfind exceptional development opportunities limited only by your hunger forlearning and applying new technologies in our exciting, start-up-likeenvironment. Youwill be both sharing your expertise with other professionals, and coaching andmentoring data scientists and interns, to accelerate the development of theirdata intuition and knowledge in Artificial Intelligence .
What youwill be doing
As aSenior Data Scientist, you will be tasked with solving data problems end toend, by collaborating very closely with our practitioners. Thismeans:
Having and growing a deep understanding of the problem space and of our business needs.
Having a profound understanding of the state of the art of a multitude of fields in Artificial Intelligence, including and not limited to NLP, probabilistic graphical models, time-series analysis, and weak supervised learning, among others.
Performing exploratory data analysis to understand relationships, and opportunities to influence outcomes, while being able to quickly iterate over common feature transformation and model types in order to find the best predictive models
Being well versed in interpreting and explaining the intuition behind the exhibited behaviors and performance of the adopted models
Developing proofs of concept to verify your ideas, including counterfactual explanations for interpretability
Closing the loop to make sure that the proposed solution is performing as it should and is correctly understood
Working closely with business representatives
Because thisis a senior role, we are looking for candidates that have an established trackrecord and network in the Artificial Intelligence community, can carry outresearch in an autonomous fashion, and who can interact closely with keystakeholders with varying levels of machine learning experience.
Our audits are fueled by more than just technology what really sets us apart are our insightful professionals, collaborativeculture, and commitment to innovation and continuous improvement. Our auditprofessionals apply a streamlined, intelligent approach to the audit, enabledby innovative tools and technologies. Quality is our top priority, and byfocusing on innovation, we continue to raise the bar on quality and delivergreater value to our clients. Learnmore about Deloitte Audit. at http://www2.deloitte.com/us/en/pages/audit/solutions/deloitte-audit.html
PhD in a quantitative field (computer science, engineering,mathematics, physics, machine learning, statistics)
Minimum six (6) years of experience in advanced technologyindustry with know-how in Python, R, Weka, Matlab, Tensorflow, Pytorch, Pyro,and big data platforms.
Minimum six (6) years of experience in data analytics, datamodeling and data sciences
Minimum six (6) years of experience being the technical lead formultiple project teams simultaneously.
Ability to travel when necessary
Prior scientific publicationhistory. Outstanding academic track record as evidenced by top tierpublications.
Strong algorithm developmentexperience
Skills with Java, C , or otherprogramming language, as well as with R, MATLAB, Python or similar scriptinglanguage
Profound mathematical background combined with a strong intuitionon how to transform theoretical ideas into products
Strong competency for statistical software packages (SAS, SPSS,MATLAB)
Solid understanding of advanced analytics (statistics,simulation, optimization, etc.)
Modeling expertise using statistical techniques such as logisticand linear regression, decision trees, neural network or clustering techniques
Strong project management and delivery experience, includingbudget oversight and staffing of project teams including time management
Strong oral and written communication skills, includingpresentation skills (MS Visio, MS PowerPoint, MS Word, MS Excel)
Ability to maintain a flexible work schedule including overtime
Previous experience mentoring, training anddeveloping junior members of the team; experience in employee performancereviews
Demonstrable track record of dealing well with ambiguity,prioritizing needs, and delivering results in a dynamic environment
Howyou ll grow
AtDeloitte, our professional development plan focuses on helping people at everylevel of their career to identify and use their strengths to do their best workevery day. From entry-level employees to senior leaders, we believe there s alwaysroom to learn. We offer opportunities to help sharpen skills in addition tohands-on experience in the global, fast-changing business world. Fromon-the-job learning experiences to formal development programs at DeloitteUniversity, our professionals have a variety of opportunities to continue togrow throughout their career. Explore DeloitteUniversity, The Leadership Center. at https://zoomforth.com/s/deloitte/du#home
At Deloitte,we know that great people make a great organization. We value our people andoffer employees a broad range of benefits. Learnmore about what working at Deloitte can mean for you. at http://www2.deloitte.com/us/en/pages/careers/articles/life-at-deloitte-benefits-and-rewards.html
Deloitte s culture
Ourpositive and supportive culture encourages our people to do their best workevery day. We celebrate individuals by recognizing their uniqueness andoffering them the flexibility to make daily choices that can help them tobe healthy, centered, confident, and aware. We offer well-being programs andare continuously looking for new ways to maintain a culture where our peopleexcel and lead healthy, happy lives. Learn more about Life at Deloitte.
Deloitteis led by a purpose: to make an impact that matters. This purpose defines whowe are and extends to relationships with our clients, our people and ourcommunities. We believe that business has the power to inspire andtransform. We focus on education, giving, skill-based volunteerism, andleadership to help drive positive social impact in our communities. Learnmore about Deloitte s impact on the world. at http://www2.deloitte.com/us/en/pages/about-deloitte/articles/deloitte-corporate-citizenship.html
We want job seekers exploring opportunities at Deloitte to feelprepared and confident. To help you with your interview, we suggest that you doyour research: know some background about the organization and the businessarea you re applying to. Checkout recruiting tips from Deloitte professionals. at http://www2.deloitte.com/us/en/pages/careers/topics/recruiting-tips.html
Category: Accounting & Auditing
As used in this document, Deloitte means Deloitte LLP and its subsidiaries. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. 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.