Lead Data Scientist driving innovation in personalization and data insight generation for ESPN's streaming products. Providing technical leadership and overseeing data science projects in a collaborative environment.
About the role
- Data Scientist role at Kuunda specializing in data analysis and financial innovation. Conduct exploratory data analysis and build dashboards for key performance indicators.
Responsibilities
- Conduct in-depth exploratory data analysis using Python and statistical methods
- Design, build, and maintain interactive dashboards and analytical reports using Qlik
- Create and maintain clear documentation for data science models and analytical processes
- Assist senior data scientists with data preparation and feature engineering
- Execute data cleaning, transformation, and validation routines using SQL and Python
- Collaborate closely with product managers and business analysts to translate business questions into measurable analytical approaches
- Proactively stay current with data visualization best practices and emerging data science methodologies
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 3-5 years of experience in data analysis, academic research, or demonstrable data-focused personal projects
- Working proficiency in SQL for querying data
- Solid foundational skills in Python for data manipulation and statistical analysis
- Hands-on experience with Qlik (View or Sense) for dashboard and report creation
- Exposure or familiarity with dbt (Data Build Tool) or similar analytical engineering tools
- Strong analytical and foundational problem-solving skills
- Excellent verbal and written communication skills
Benefits
- Performance-Based Rewards
- Employee Share Option Plan (ESOP)
- Long-Term Incentive Plan (LTIP)
- Medium-Term Incentives (MTI)
- Short-Term Incentives (STI)
- Health & Wellbeing (Company paid for)
- Compulsory Medical Aid through Discovery (Company contributed R4k)
- Group Life Cover
- Employee Assistance Program (EAP)
- Wellness App
- Opportunities for professional development and career growth
- Flexible work arrangements and a supportive, inclusive work culture
- An exciting and challenging work environment at the forefront of fintech innovation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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