In this role, you will work on a wide range of exciting projects, from deriving actionable insights from complex data sets to leveraging machine learning and AI tools for creative solutions.
Responsibilities
- Data Analysis and Insights : Analyze complex data sets to derive valuable insights for strategic decision-making.
- Architectural Recommendations : Collaborate with development teams to enhance data collection and storage architectures.
- Visualization Enhancements : Develop compelling data visualizations, interactive dashboards, and reports to improve user experience.
- Event Tracking : Define and ensure proper tracking of application events in collaboration with product managers and developers.
- Dashboard Design : Create and set up dashboards showcasing real-time usage metrics and behavioral data.
- Ad Hoc Reporting : Address specific business challenges by responding to ad hoc data requests and conducting analyses.
- Report Generation : Communicate analytical findings through comprehensive reports and visualizations to guide strategic planning and process improvements.
- Data Quality Assurance : Implement measures to ensure data accuracy and reliability.
- Technology and Tools : Stay updated with the latest data analytics tools and technologies to continuously enhance data science capabilities.
- Collaborative Teamwork :
Provide data-driven insights and support decision-making processes within cross-functional teams.
- Data Modeling : Utilize statistical techniques and machine learning algorithms to create predictive and prescriptive models.
- Training and Support : Train and support team members and stakeholders in data science techniques and tools.
Requirements
- Education : Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Experience : Minimum of 3 years of experience as a Data Scientist or in a similar role.
Technical Skills
- Proficiency in Python or R, and SQL for data manipulation and analysis.
- Experience with data visualization tools like Power BI, Tableau or similar.
- Strong understanding of statistical concepts and machine learning algorithms.
- Familiarity with databases and data warehousing concepts.
- Analytical Skills : Excellent analytical and problem-solving abilities with a strong attention to detail.
- Communication Skills : Effective at conveying technical findings to non-technical stakeholders.
- Organizational Skills : Strong time-management skills for handling multiple projects and deadlines.
- Teamwork : Ability to work both independently and collaboratively within a team.