Data Science Specialist
PInterview
About the Role
The Data Science Specialist will support PInterview’s platform and services by collecting, analyzing, and interpreting data related to user behavior, interview performance, and product usage. In this full-time remote role, the specialist will design and implement data models, build dashboards, and generate insights to improve user experience, optimize recommendation and matching systems, and guide product and business decisions.
Key Responsibilities
- Work with cross-functional teams to define data requirements.
- Perform statistical analyses.
- Develop predictive and descriptive analytics solutions.
- Present clear findings to stakeholders.
- Help establish data quality standards.
- Maintain documentation.
- Contribute to continuous improvement of analytics practices.
Requirements & Tech Stack
- Proficiency in Data Analysis and Analytical Skills.
- Experience with programming languages commonly used in data science (such as Python or R).
- Experience with data manipulation tools (such as SQL).
- Familiarity with data visualization tools (such as Tableau, Power BI, or similar) and dashboard creation.
- Machine learning concepts and frameworks are a plus.
Qualifications
- Strong foundation in Data Science and Data Analytics.
- Solid understanding of Statistics, including hypothesis testing, regression, and probability concepts.
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- Ability to communicate complex analytical findings clearly to technical and non-technical stakeholders.
- Comfort working independently in a remote environment, with strong time management and collaboration skills.

