Scalend is looking for a lead data scientist who will be responsible for developing predictive systems, creating efficient algorithms and improving data quality.

Key Responsibilities:

- Work with engineering on designing, building and deploying data analysis systems for large data sets
- Design, develop and implement prototype solutions and implementations using R & Python
- Create algorithms to extract information from large data sets
- Establish scalable, efficient, automated processes for model development, model validation, model implementation and large scale data analysis
- Develop metrics and prototypes that can be used to drive business decisions.

Minimum Requirements:

- Advanced degree in a relevant field such as Statistics, Computer Science or Applied Mathematics, or experience in the field




- Strong background in statistical concepts and calculations.
- 5+years experience with real data
- Extensive experience solving analytical problems using quantitative approaches
- Expert at data visualization and presentation.
- Experience with big data tools (e.g., Hadoop, HDFS, MongoDB, Hive, Storm)
- Excellent critical thinking skills, combined with the ability to present your beliefs clearly and compellingly verbally and in written form.

Scalend is a high-growth startup - we do not offer fancy remuneration or perks. All we can promise is extraordinarily good learning, exposure to great customers, a fantastic workplace, and excellent stock options.

📌 Lead Data Scientist (Bengaluru)
🏢 Scalend
📍 Bengaluru