Senior Data Scientist

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

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