Associate Data Scientist

Elucidate AI; United States; Hybrid; USD 29,000 - 46,000; Full time

Benefits offered by this job

Remote work options

Hybrid work options

Unlimited annual leave

Learning & development

Job summary

Elucidate AI is seeking a Junior Data Scientist in Johannesburg with remote and hybrid options. The role focuses on turning microfinance data into actionable business insights through analytics, ML, and statistical modeling.

You will communicate results to executive stakeholders and contribute to product development. The position requires an honours degree in a STEM field and at least one year of client-facing analytics experience, with Python and visualization experience.

Qualifications

• Honours-level degree in engineering, mathematics, computer science, or another STEM discipline.
• At least one year of experience presenting analytics to business teams in a client-facing setting.
• At least one year of experience performing analysis, producing findings, and implementing improvements.
• Fundamental understanding of machine learning and statistics.
• Experience working with data in Python; PySpark is a plus.
• Experience with data visualization and clear communication with senior stakeholders.

Responsibilities

• Analyze microfinance data and translate findings into business recommendations.
• Present analytical results and recommendations to executive teams.
• Help implement recommendations and assess their performance.
• Design, build, and deploy machine learning models and statistical optimizations.
• Assess product ideas, define MVP scope, and contribute to technical development.
• Work with data engineering and data science teams on departmental planning and execution.

Skills

Python

PySpark

Data visualization

Stakeholder communication

Present analytics

Education

Honours-level degree in engineering, mathematics, computer science, or STEM

Tools

Tableau

Power BI

Spark

Job description

Data Scientist Johannesburg, South Africa; remote and hybrid options

Job details

Johannesburg, South Africa; remote and hybrid options Eligibility

Junior Experience

Not specified Employment

About this role

Role overviewSupport data engineering and data science initiatives that turn microfinance data into practical business recommendations. The role combines analytical work, machine learning and statistical modeling, product exploration, and communication with business and executive stakeholders.

Responsibilities

• Analyze microfinance data and translate findings into business recommendations.
• Present analytical results and recommendations to executive teams.
• Help implement recommendations and assess their performance.
• Design, build, and deploy machine learning models and statistical optimizations.
• Assess product ideas, define MVP scope, and contribute to technical development.
• Work with data engineering and data science teams on departmental planning and execution.

Requirements

• Honours-level degree in engineering, mathematics, computer science, or another STEM discipline.
• At least one year of experience presenting analytics to business teams in a client-facing setting.
• At least one year of experience performing analysis, producing findings, and implementing improvements.
• Fundamental understanding of machine learning and statistics.
• Experience working with data in Python; PySpark is a plus.
• Experience with data visualization and clear communication with senior stakeholders.

Nice to haveA master’s degree and practical machine learning experience are advantageous.

Benefits and work setupRemote and hybrid work options, learning and development opportunities, and unlimited annual leave are provided.