Data Scientist

4 days ago


Bengaluru, India Rakuten Symphony Full time
Job Title: Data Scientist (Experience less than 5-8 years)
Reports To: The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist.
Job Overview:
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 data products to extract valuable 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 applying machine-learning. Your goal will be to help Rakuten Mobile Inc. analyze trends to make better decisions and enable the automation of the network operations and management.
Responsibilities:
• Undertaking data collection, preprocessing and analysis
• Building models to address problems
• Presenting information using data visualization techniques
• 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 :
• Basic Understanding of machine-learning and AI
• Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure
• Strong math / analytical skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
Junior Data Scientist – Job Description
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred
• Experience as a Data Scientist or Analyst is preferred
• Experience in data mining
• Experience in product development
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