Senior Data Scientist

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

• 6+ years of experience to have great understanding on the ML lifecycle and concepts

• 6+ years of 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

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

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

• 6+ years of production experience with Apache Spark

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

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

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

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

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• Must be a US Citizen

• 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.

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

• 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

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

• Must be able to obtain the required level of security clearance for this role

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Recruiting tips

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Benefits

At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.

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.

Our purpose

Deloitte's purpose is to make an impact that matters for our clients, our people, and in our communities. We are creating trust and confidence in a more equitable society. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. We are focusing our collective efforts to advance sustainability, equity, and trust that come to life through our core commitments. Learn more about Deloitte's purpose, commitments, and impact.

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: 178725