Senior Solution Specialist – Senior Data Science

Deloitte
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Job Description

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 Team

Artificial 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. 

Qualifications Required

  • Solid understanding of the ML lifecycle and concepts
  • Experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
  • 6+ years of experience in developing algorithms using data science technologies to build analytical models.
  • 6+ years of data extraction/manipulation experience using scripts specific to AI/ML
  • 6+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects.
  • 6+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
  • 6+ years of experience in data wrangling/cleansing, statistical modeling, and programming.
  • 5+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, Qlikview, Excel and Access.
  • Extensive experience working in an Agile development environment
  • Fluency in both structured and unstructured data (SQL, NOSQL)
  • Production experience with Apache Spark
  • Hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
  • Familiarity with Linux OS and Windows servers
  • Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
  • Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
  • Must be willing to live and work in one of our Center locations:
  • Lake Mary, FL (Orlando area)
  • Mechanicsburg, PA (Harrisburg area)
  • Gilbert, AZ (Phoenix area)
  • Bachelor’s degree or equivalent work experience in Statistics/Technology/Science/Engineering/Applied Mathematics or a similar quantitate analytics field.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred

  • 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

Company Info.

Deloitte

Deloitte Touche Tohmatsu Limited, commonly referred to as Deloitte, is a British multinational professional services network. Deloitte is one of the Big Four accounting organizations and the largest professional services network in the world by revenue and number of professionals. Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax, and related services.

  • Industry
    Management Consulting
  • No. of Employees
    313,125
  • Location
    30 Rockefeller Plaza, New York, NY 10112, USA
  • Website
  • Jobs Posted

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