Senior Data Scientist - Senior Solution Specialist

at  Deloitte

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 …

QUALIFICATIONS

Required:

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

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

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.