Deloitte’s Enterprise Performance professionals are leaders in optimizing operations that span the entire enterprise of an organization, from strategy to implementation and operation. By joining our team, you can help clients achieve impact and value from their investments in both people and technology that support enterprise-wide operations, as well as solutions for specific functions in the organization, from IT to finance and the supply chain.

The team 

Deloitte is seeking an experienced data scientist who can design, build, and own critical analytical initiatives to drive insights and innovation in a SaaS-based software product.

• The Data Scientist works on the product team with developers, data scientists, QA engineers, UI/UX designers, and product managers to build software products using an agile approach. The Data Scientist designs, implements, and operates algorithms, ML models, NLP, entity resolution, and other analytical components.
• The Data Scientist will bring working knowledge of data science theory, tooling, implementation, and production operations. The Data Scientist is a high impact individual who will own initiatives from start to finish.

Job Duties

• Own and complete data science development tickets during sprints
• Collaborate with team members to ideate engineering approaches and solutions, research and scope options, and present and assess trade-offs to inform decisions
• Build data science product components such as monitoring & alerting machine learning models, signal de-duplication, location based alert insights, ETL pipelines, network centrality measure analysis, data visualization, sanctioned company identification, and supplier risk score algorithms
• Manage, implement, and use multiple AWS services (such as AWS SageMaker and S3)
• Pursue proof of concepts to validate ideas
• Produce and maintain technical architecture diagrams and documentation
• Perform peer code reviews and mentor other team members
• Proactively communicate status updates

Required:  

• Bachelor's degree required 
• 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 able to obtain and maintain the required clearance for this role  
• Ability to travel up to 25% on average, based on the work you do and the clients and industries/sectors you serve.

Preferred:  

• 3+ years of experience designing, building, launching, and maintaining machine learning models
• 3+ years of experience designing, building, launching, and maintaining text classification algorithms such as NLP/TF-IDF
• 3+ years of experience programming in Python and using Jupyter Notebook
• 3+ years of experience with relational, graph, or NoSQL databases (at least one of the following: PostgreSQL, Aurora, MSSQL, MySQL, Oracle, MongoDB, DynamoDB, Neptune, ArangoDB, Neo4J)
• 3+ years of experience designing, building, launching, and maintaining data analytics services in web-based software-as-a-service solutions
• 1+ years of experience working with large scale data analytics platforms such as Spark/PySpark
• 1+ years of experience working with data integration and ETL platforms such as AWS Glue and Prefect
• 1+ years of experience working in Amazon Web Services (AWS) cloud environments and services (EKS, ECR, EC2, S3, CloudWatch)
• 1+ years of experience working with Kubernetes, Docker, GitLab, and CI/CD pipelines
• Familiarity with test automation and test-driven development
• Strong Understanding of Agile/Scrum Methodologies
• Excellent communication skills and ability to work independently or on a full team
• BS in Computer Science or related field
• AWS Machine Learning Specialty Certification
• Mastery/Expertise in TensorFlow and deep learning
• Strong experience using NLP/TF-IDF
• Mastery/Expertise in AWS Sagemaker
• Mastery/Expertise in PostgreSQL, Aurora, DynamoDB, ArangoDB
• Strong experience using AWS Services
• Strong experience using Spark
• Strong experience in ETL (Extract, Transform, Load), entity resolution, and processing large amounts of data