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Deloitte Senior Data Scientist - Senior Solution Specialist in Gilbert, Arizona

Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.

Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below ...

Work you'll do/Responsibilities

  • Work with data science techniques and libraries to show data's applicability to business problems

  • Perform exploratory data analysis to define analytical models

  • Develop advanced quantitative models using a variety of programs/software to support predictive assessments

  • Provide expertise for analytical, programmatic, strategic, and operational analysis.

  • Explain analytics model behavior/results in the vernacular of business.

  • Perform technical risk analysis and reliability assessments.

  • Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques

  • Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques

  • Provide recommendations for plans, programs, strategies, policies and budgets.

  • Design algorithms that require a number of different models/methods to be used in an ensemble

  • Deploy models into production

The TeamArtificial Intelligence & Data Engineering

In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.

The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.

Artificial Intelligence & Data Engineering will work with our clients to:

  • Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms

  • Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions

  • Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements



  • 5+ years of experience and knowledge of the ML lifecycle and concepts

  • 5+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions

  • 5+ years of experience in developing algorithms using data science technologies to build analytical models

  • 5+ years of data extraction/manipulation experience using scripts specific to AI/ML

  • 5+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects

  • 5+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.

  • 5+ years of experience in data wrangling/cleansing, statistical modeling, and programming

  • 5+ years of extensive experience working in an Agile development environment

  • 5+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)

  • 3+ years of production experience with Apache Spark

  • 3+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment

  • 2+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access

  • 1+ years of experience to have familiarity with Linux OS and Windows servers

  • 1+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools

  • Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA; with the ability to commute to assigned location for the day, without the need for overnight accommodations

  • Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel

  • Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

  • Limited sponsorship may be available


  • Previous Government Consulting and/or professional services experience

  • In depth understanding of AI protocols and standards

  • Understanding of technology risks and the ability to assess and mitigate them

  • Deep knowledge of a specific domain or industry, with a focus on applying NLP/LLM solutions in that context

  • Experience with debugging and troubleshooting software or solutions design issues

  • Proven ability to stay current with best practices and new technology solutions in the field

  • Ability to display 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)

  • Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.

  • Familiarity with Kubeflow or MLflow

  • Experience with machine learning pipelines (Azure ML)

  • Familiarity with the latest Natural Language Processing or Computer Vision related algorithms

    Information for applicants with a need for accommodation:

    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.