Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

QUALIFICATIONS

Required:

• Bachelor’s degree required.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Ability to travel 0-25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Active Secret security clearance required
• 8+ years experience implementing supervised and unsupervised machine learning algorithms.
• 8+ years experience with building artificial intelligence technologies, NLP.
• 8+ years experience executing data science methodologies using common programming/scripting languages, such as Python, Java, Scala, and R.

Preferred:

• Previous Federal Consulting and/or professional services experience.
• Applied knowledge of AWS/cloud development and solutions architecture.
• Displays both breadth and depth of knowledge regarding functional and technical issues.
• Experience presenting to clients or other decision makers to present and sell ideas to various audiences (technical and non-technical).

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
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 $113,325 to $188,875.
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.

WORK YOU’LL DO

As a Data Science Manager, you will be part of a fast-paced team that will support data analysis and visualization, process improvements, financial management, and workforce development. The Data Science Manager will:

• Lead the execution of data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization.
• Utilize Python and deliver client solutions in an Agile environment.
• Lead research and analysis into massive quantitative and qualitative datasets, applying advanced machine learning techniques (clustering, forecasting, NLP, graph analytics, and more) to extract actionable intelligence that drives mission-critical decisions.
• Lead the analysis new processes, systems, and emerging technology to prevent inefficiency and support the mitigation efforts of cyber threats.
• Assist in the development of leadership insights that will drive informed decision-making using integrated data analytics and domain knowledge.
• Manage and mentor junior Data Scientists on the team.

OUR PURPOSE

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more.