Data Scientist - Machine Learning/Artificial Intelligence

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 innovative 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.