Manager - Data Science - Utility/Energy Domain

Data Science Manager - digit88

- To be successful in this role, you should possess

- 5+ years data science and analytics experience.

- Strong project management and leadership skills.

- Demonstrated ability to build processes and implement tools from the ground-up.

- Ability to coach and mentor analysts on technical and analytical skills.

- Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.

- Ability to employ statistics and anomaly detection techniques for data-driven analytics.

- Ability to process, cleanse, and verify the integrity of data used for analysis and modeling.

- Solid experience with common data science toolkits, such as scikit-learn, Spark ML, pandas, Scipy,etc.

- Strong SQL knowledge; working experience with standard Business Intelligence tools is a great plus.

- Experience dealing with large quantities of data across relational and NoSQL databases, cloud storage, and distributed compute systems.

- Ability to scale data science solutions with a keen understanding of how to optimize performance and mitigate computing cost.

- Experience with data visualization tools.

- Experience in the utility or energy industries.

Roles and responsibilities :

- Build a Data Science organization, allowing the company to harness the power of data in developing - and marketing new products.

- Liaise with Product and Business Leaders to understand issues, priorities and support them through relevant product and business analytics.

- Deliver data backed analysis and statistically proven solutions.

- Ability to work across time zones in a dynamic start-up setting.

- Analyzing vast amounts of data to identify patterns and create thought leadership on customer usage patterns and rates.

- Experience in the utility or energy industries.