Data Scientist / Data Analyst and Infrastructure / Computer Science

Job Description:

Responsible for modeling complex business problems and discovering business insights through the use of statistical, algorithmic, mining, and visualization techniques. The data scientist contributes to building and developing the organization’s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.

 

You will join a team based on a trajectory of success, and an organization that has partnered up with big-name brands across different industries thanks to maintaining the highest quality of technical workmanship. This work environment will enable growth for the right person!

​

Your role:

​

• Understands the decision-making process, workflows, and business and information needs of business unit heads and service manager/owners

• Translates business needs into analytics/reporting requirements to support executive decisions and workflows with required information

• Proactively mines data warehouses to identify trends and patterns and generates insights for business units and senior leadership

• Performs large-scale experimentation to identify hidden relationships between variables in large datasets

• Researches and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient

• Visualizes information and develops engaging reports on the results of data analysis using data visualization tools

• Develops frameworks and processes to analyze unstructured information collected through social media platforms i.e., wikis, blogs, instant messaging, etc. and traditional sources such as e-mail and SharePoint.

• Distributes best practices to analytics and product teams and provides consultations for their data-based experimentations.

 

Qualifications:

​

• Master's degree or PhD in computer science, statistics, economics or related fields.

• Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages.

• Experience with big data analysis tools and techniques

• Experience building and deploying predictive models, web scrapping, and scalable data pipelines

• Experience with Microsoft Azure Cognitive Services is desirable

• Up-to-date knowledge of machine learning and data analytics tools and techniques

• Experienced at leveraging both structured and unstructured data sources