Data Scientist

Youth Impact’s mission is to connect youth to proven life-changing information. Our vision is to enable over 1 million youth to thrive through delivery of multiple evidence-based programs. We are at an inflection point in our growth: we have over 350 staff, three programs in health and education, have delivered over two million lessons to over 300,000 youth across 20+ countries. Our culture is unique: we are always learning, have a dynamic team, a fierce commitment to measurement and evidence, and work hand in hand with governments. On any given day our leaders will sing and dance, negotiate MOUs, and spend dedicated time with the field team in schools.

**Background**:
The Government of Karnataka, India, has launched a dedicated program, Ganitha Ganaka, to improve foundational numeracy in the state. The initiative is grounded in evidence (based on a program called ConnectEd) implemented and tested in randomised controlled trials by Youth Impact in multiple countries. It is an innovative one-on-one phone-based tutoring initiative for students in grades 3, 4, and 5, and it has demonstrated significant improvements in learning outcomes in diverse contexts. Ganitha Ganaka leverages the skills and capacity of government schoolteachers to deliver tutoring using principles such as targeted instruction, similar to principles embedded in Teaching at the Right Level programs. The program is now expanding to 93 blocks, with over 35,000 teachers set to tutor around 100,000 students weekly, aiming to achieve transformative results in numeracy skills across Karnataka.

**Role responsibilities**:

- Ensure seamless collection and flow of large-scale data from multiple channels (e.g. IVR, chatbots, or apps)
- Build and manage efficient and secure databases to handle program data, ensuring scalability for interventions like ConnectEd
- Develop automated workflows to clean, process, and normalize raw data for reliable reporting and analysis
- With guidance, help develop interactive dashboards (e.g. Tableau, Power BI) to visualize key indicators e.g. teacher participation, learning outcome trends, and other actionable insights
- Mentor and teach technical research team members how to maintain dashboards and follow data management protocols
- Work closely with program teams, software engineers and researchers to ensure data accuracy, alignment with program goals, and support evaluation frameworks

**Technical Skills and Experience**:

- Multiple years of experience in designing and maintaining enterprise data models
- Experience with data cleaning and processing pipelines using Python or R.
- Experience with cloud data warehousing solutions (e.g. BigQuery, Redshift, Snowflake or similar)
- Write and optimize complex SQL queries to manage and extract insights from large-scale program data, ensuring efficient data retrieval and analysis
- With Program teams, design and analyze A/B tests to optimize program cost-effectiveness and scalability.

**Other required skills**:

- Develop and implement predictive models to forecast student learning outcomes, teacher engagement, and program impact using machine learning techniques
- Expertise in creating dashboards using. Tableau, Power BI, or similar tools as well as enhancing these real-time, interactive dashboards to provide key stakeholders with actionable insights, improving decision-making and program implementation
- Ability to document workflows and train non-technical team members to use dashboards and tools effectively
- Strong interpersonal skills: Ability to work with cross-functional teams, including software engineer and research teams
- Effective communication skills: Ability to explain technical concepts to non-technical stakeholders, ensuring alignment and understanding across teams, and to work with multidisciplinary teams and stakeholders
- Project management: Capacity to manage multiple projects, prioritize tasks, and deliver results within deadlines, even in a less structured environment
- Adaptability: Comfort with evolving priorities and the ability to pivot as organizational needs change or new challenges emerge
- Self-motivation: Experience with working independently and taking initiative without technical guidance when required

**Required characteristics**:

- Attitude: Dedicated and hard-working with excellent ownership and accountability
- Energy & motivation: Enthusiastic, youthful, energetic, innovative, goal-oriented self-starter, willing to go the extra mile
- Analytical skills: Analytical & problem-solving abilities
- Organizational skills: Ability to prioritize projects & manage time & resources effectively using logic & good judgment

Ability to commute/relocate:

- Bangalore City, Bengaluru, Karnataka: Reliably commute or planning to relocate before starting work (preferred)