Job Description
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
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