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Company Description
HEXit is a professional IT company founded in 2017, with a team of around 30 experienced professionals delivering technology solutions around the clock. The company focuses on Android, iOS, and web application development, as well as hardware design to address everyday tech needs for customers and clients. HEXit also provides security testing and quality assurance for products, web applications, and mobile applications to ensure reliability and safety. Team members work on a variety of challenging projects and collaborate closely with clients, offering a culture that values technical excellence, consultation, and continuous improvement.
Role Description
The Research Data Scientist role at HEXit is a full-time hybrid position based in Halifax, with flexibility for partial work from home. In this role, the Research Data Scientist will:
- Design and execute data-driven research projects
- Apply statistical and machine learning methods to derive insights
- Guide product development and business decisions
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Day-to-day responsibilities include:
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- Collecting and cleaning data from multiple sources
- Performing exploratory and inferential analyses
- Developing predictive models to support HEXit’s software and hardware solutions
The Research Data Scientist will collaborate with engineering, product, and QA teams to:
- Translate complex findings into clear visualizations, reports, and recommendations
- Improve security, performance, and user experience across applications
This role also involves:
- Staying current with emerging data science techniques and tools
- Contributing to the continuous enhancement of HEXit’s analytics capabilities
Qualifications
- Strong foundation in Data Science and Statistics, with the ability to design experiments, build models, and interpret results.
- Proficiency in Data Analytics and Data Analysis, including cleaning, transforming, and exploring large and complex datasets.
- Experience with Data Visualization, using tools or libraries to create clear, actionable dashboards and visual reports.
- Hands-on experience with programming languages commonly used in data science (such as Python or R) and SQL.
- Familiarity with machine learning frameworks and libraries, and practical experience deploying or evaluating models in production environments.
- Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Statistics, Mathematics, or a related discipline, or equivalent practical experience.
- Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders, both in writing and verbally.
- Comfort working in a hybrid environment in Halifax, with strong collaboration skills and the ability to work independently when remote.
- Experience in IT, software development, or product-focused environments is an asset.
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