Data Scientist Job Ignite Energy Access

IT Jobs, Ignite Energy Access Jobs

Job Purpose/Mission

We are looking for a talented, full-stack data scientist to join the digital team to help deliver affordable solar power to emerging markets. This position offers a great opportunity to work alongside an elite team of data scientists and business professionals and directly contribute to the success of a mission driven company with social and environmental impact. Candidates will get the opportunity to work in a diverse technology stack at scale.

Responsibilities

• Deploy and maintain data pipelines and machine learning models to predict repayment, solar system device performance, credit scoring, and other metrics which are key to the business.
• Contribute to design and maintenance of an analytics database to empower data-driven decisions by analysts and strategists across the organization.
• Design randomized, controlled experiments to understand levers available to improve customer repayment.
• Perform analyses, with statistical components as appropriate, for department leaders to evaluate the impact of pilots and other interventions.
• Leverage external data sources to help EEA grow its business and maximize social impact on customers in emerging markets.
• Train team members on data tools / skills to grow data capacity and culture at ENGIE Energy Access.

Knowledge and skills

Experience:

• 3+ years of relevant experience
• Strong Python, especially in a data analytics/science capacity (ex. pandas, numpy, sklearn, matplotlib)
• Facility with MySQL/Redshift
• Experience with experimental design, statistical analysis, and interpretation of qualitative and quantitative data.
• Good knowledge of statistical tests and analysis
• Ability to communicate model outputs and analyses to stakeholders at various levels of technical expertise.
• Experience deploying predictive models at scale.
• Keen eye for detail and thoughtful investigation of data before relying upon it.
• Demonstrated expertise in strategic analysis to impact decisions.
• Thrives on teamwork.
• Bonus: Experience with financial data or credit scoring

Qualifications:

• MA or PhD in a relevant discipline (Data Science, Software Engineering, Statistics, or another relevant STEM field)

Language(s):
English
French or Portuguese is a plus

• Technology:
• Python or R, jupyter notebooks
• Airflow (or other workflow management systems, such as Luigi)
• Knowledge of Amazon Web Services (AWS) and its services, such as, but not limited to, Cloudwatch, RDS, Redshift, Lambda, EMR, S3, SQS, EC2
• AWS environment: Cloudwatch, RDS, Redshift, Lambda, EMR, SQS, EC2
• Statistical analysis and predictive modeling in python (scipy, stats, sklearn, etc)

How to Apply

We’re constantly growing and seeking high-quality talent. To join our journey, please email us at hr@ignite.solar