Datanest
Country : Indonesia
  • Full-time

Data Scientist

At Datanest, we believe that data are key to improve business and life. We are building Datanest to help company to take leverage of their data in order to improve decisions, and enable actionabilities. If you are not afraid of big data, machine learning, AI, data mining, BI, statistic, probabilities, etc, you are talented in those fields or just passionated, please contact us!

DESCRIPTION:

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build machine learning algorithm to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Responsibilities

- Identify valuable data sources and automate collection processes

- Undertake preprocessing of structured and unstructured data

- Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms

- Combine models through ensemble modeling

- Present information using data visualization techniques

- Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams

Requirements

- Proven experience as a Data Scientist or Data Analyst

- Experience in data mining

- Understanding of machine-learning and operations research

- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset

- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop

- Analytical mind and business acumen

- Strong math skills (e.g. statistics, algebra)

- Problem-solving aptitude

- Excellent communication and presentation skills

- Degree in Computer Science, Engineering, Applied Science or relevant field; graduate degree in Data Science or other quantitative field is preferred


Total applicants :4 Job posted 25 days ago Total Views : 202 Unique Views : 179 Today Views : 127


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