Lead Data Scientist

LEND - Switzerlend AG; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A high-growth startup is seeking a Lead Data Scientist to develop predictive systems and improve data quality. You will design and deploy data analysis systems for large data sets, create algorithms using R and Python, and drive business decisions through metrics and prototypes. The ideal candidate has an advanced degree in a relevant field, over 5 years of experience with real data, and strong skills in statistical analysis and data visualization. Join us for extraordinary learning and exposure to great customers.

Qualifications

• 5+ years experience with real data.
• Strong background in statistical concepts.
• Experience solving analytical problems using quantitative approaches.

Responsibilities

• Design, build and deploy data analysis systems for large data sets.
• Develop metrics and prototypes for business decisions.
• Establish automated processes for model development and validation.

Skills

Data analysis

Machine learning

Statistical analysis

Data visualization

Critical thinking

Education

Advanced degree in Statistics, Computer Science or Applied Mathematics

Tools

R

Python

Hadoop

MongoDB

Hive

Job description

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.
• 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 environment, and excellent stock options.