Lead Data Scientist

Scalend

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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.

5years 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.

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...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills