Until recently, on-premise Data Centers could host all data and generate insights. Today the world generates 2.5 quintillion bytes (that’s 18 zeroes!) of data daily! Because there a rise of in enterprise data, data centers are being replaced by departmental data science teams.
The role of the Data Scientist is also rapidly evolving. This kind of rapid change calls for a partner who has developed an expertise and understanding of Data Science.
APN Consulting is your answer because we have spent the majority of the last few years focused on Data Science. In the field of Data Science – whether you need a contractor or a full-time hire – you can count on us to help you.
Our talent pipeline includes
- Data - Modelers, Analysts, Engineers, Architects, Scientists
- Project Managers
- Business Analysts
- Solution Architects
One client wanted to develop an advanced Analytics Practice using Artificial Intelligence and Machine Learning within their Business Intelligence and Data Integration Centers of Excellence. The goals of this initiative were to gain an in-depth understanding of their customers, improve the customer experience, increase engagement and retention, and automate customer processes. They needed a strong Data Scientist to be hired for this role.
Good talent in the Artificial Intelligence and Machine Learning domain is in short supply. The Advanced Analytics Data Scientist would be tasked with building leading-edge predictive models and AI/Client algorithms for initial simulations or prototypes and subsequent ingestion into mainstream software applications. They would further build a structure and process for modeling, predicting, and classifying user behavior and other business metrics. They would also be required to work with Enterprise Architecture to define the big data infrastructure needed to a solution and develop the AI/Client models. They would build tools and processes to periodically validate AI/Client models against expected and observed outcomes and assess the impact on business defined key performance indicators. Iteratively improve models based on findings.
Data Science is a focus area for APN. Over the last few years, we have helped many organizations find exceptional talent in Data Science area. Since our clients’ needs are similar in the area of Data Science, we are constantly working on such positions and building the network. With this position, we could tap our network and reach out to passive resources. We were able to present three Data science profiles and out of 3-one candidate was shortlisted and hired after multiple rounds of interview.