Data Scientist

We are seeking a highly skilled and motivated professional for the position of Data Scientist. As a Data Scientist, you will play a key role in conducting day-to-day activities with a focus on compliance with policies and procedures. Your responsibilities will include contributing to the identification of opportunities for continuous improvement of systems and processes, establishing working relationships with internal stakeholders, and collecting feedback to address issues and requirements.

Responsibilities

- Conduct day-to-day activities with a focus on compliance with policies and procedures.
- Contribute to the identification of opportunities for continuous improvement of systems and processes in line with leading practices.
- Establish working relationships with relevant internal stakeholders.
- Collect feedback from internal stakeholders on issues being faced and other requirements.
- Contribute to the preparation of progress reports directed to all relevant stakeholders to keep them informed of progress.
- Support in identifying the latest updates in data science and artificial intelligence fields for continuous improvement and innovation.
- Support in feasibility studies and business cases development for relevant data analysis initiatives and projects.
- Support in developing technical proposals for data analysis initiatives/projects, including a detailed description of the proposed work and resources required.
- Participate in workshops with concerned stakeholders to identify business needs, project scope, problem statement, and request clarifications as needed.
- Identify and secure needed data from relevant sources and establish interfaces when needed to facilitate complex data extraction.
- Request data access permissions as needed and follow up on unavailable/incomplete data sets to ensure data readiness in a timely manner and according to pre-defined plans.
- Design standardized and customized reporting dashboards and databases based on relevant data pipelines and identified requirements.
- Build complex data sets from multiple sources through data cleansing and integration into dashboards to facilitate downstream data activities.
- Perform complex data mining, utilize APIs, and build ETL pipelines to identify trends and patterns in large data sets.
- Develop and test models and machine learning algorithms based on an in-depth understanding of underlying data, data structures, and business needs.
- Apply machine learning techniques to the data to identify the model that best fits requirements and expectations, and tune the model accordingly.
- Monitor deployed models through conducting periodic tests and validation checks.
- Conduct exploratory and predictive data analyses to highlight hidden correlations and insights leveraging predictive modeling.
- Conduct technical hypothesis testing on all outcomes to ensure extracted insights are accurate and in line with requirements and expectations.
- Review and consolidate all data analysis and analytics reports and prepare presentations to communicate complex quantitative analyses leveraging data visualization.

Skills

- 4+ years of experience in a Data Science field.
- Bachelor’s Degree in Big Data and Analytics or equivalent is required.
- Proficiency in Microsoft Office.
- Proficiency in English.
- Focuses on results and quality.
- Demonstrates customer centricity.
- Displays integrity and professionalism.
- Innovates and demonstrates agility.