We help organizations to work smarter and grow faster. Our work is always evolving to respond to industry trends and management focus, and we combine our deep technical skills in response to our clients' changing needs. Over time, what we do remains closely linked with helping our clients improve the way they operate; innovate and grow; reduce costs; manage risks; leverage talent; and change the way they do business.
Our aim is to support our clients in designing, managing and executing lasting beneficial change.
o Work as a part of a multi-disciplinary and cross-functional project teams to translate business requirements into artificial intelligence goals and modeling approaches
o Rapidly iterate models and results to refine and validate approach working across different streams in the project
o Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions utilizing structured approaches to solving problems, managing risks, documenting assumptions, communicating results, and educating others through insightful visualizations, reports and presentations
o Work closely with Data Engineers to build ingestion processes to, prepare, extract, and annotate a rich data variety of unstructured data sources (social media, news, internal/external documents, images, video, voice, emails, financial data, and operational data)
o Leverage a variety of tools and approaches to solve complex business objectives, from Statistical Natural Language Processing, Information Retrieval/Extraction, Machine Learning/Deep Learning, Image Processing and Rules Engines
o Refactor deploy and validate models; work with clients iteratively to validate performance metrics, and sample output to drive towards a business-first solution; utilize APIs, platforms, containers, multi-threading, and distributed processing to achieve throughput goals
o Minimum of 5 years of experience working with engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Telecommunication Industry background is a major plus.
o Bachelor's degree from an accredited college/university. A Master's degree is preferred.
o Ability to apply artificial intelligence techniques to achieve concrete business goals while understanding available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Ability to discuss mathematical formulations, alternatives, and impact on modeling approach and understanding of development practices (testing, code design, complexity, and code optimization)
o Solid experience performing data science from data discovery, cleaning, model selection, validation, and deployment; experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor and optimize code for efficiency
o Fluency in Python; Experience with Big Data platforms (CDH) is a plus; Ability to pick up new languages and technologies quickly.