Senior Data Scientist - Various Cities

Management Consulting | Strategy & Analytics
Same job available in 25 locations

Atlanta, Georgia, United States

Austin, Texas, United States

Boston, Massachusetts, United States

Charlotte, North Carolina, United States

Chicago, Illinois, United States

Cincinnati, Ohio, United States

Cleveland, Ohio, United States

Dallas, Texas, United States

Denver, Colorado, United States

Detroit, Michigan, United States

Houston, Texas, United States

Indianapolis, Indiana, United States

Kansas City, Missouri, United States

Miami, Florida, United States

Minneapolis, Minnesota, United States

Nashville, Tennessee, United States

Philadelphia, Pennsylvania, United States

Phoenix, Arizona, United States

Pittsburgh, Pennsylvania, United States

Sacramento, California, United States

San Diego, California, United States

Seattle, Washington, United States

St. Louis, Missouri, United States

Tallahassee, Florida, United States

Tampa, Florida, United States

Position Summary

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 live a commutable distance to one of the following cities:  Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Denver, CO; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
  • 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

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 $93k to $155k.

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.

Our people and culture

Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

Professional development

From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.


As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. 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.

Requisition code: 127217

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