Senior Data Scientist - Python/R/SQL

We are seeking an experienced Senior Data Scientist to join our team.

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.