Job Description

Job Title:

Data Scientist

Reports To:

The Data Scientist will report to the Data Science Section Manager / Senior Data Scientist (7-12 years of experience).

Job Overview:

We are looking for Senior Data Scientist who will play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and AI solutions to challenge various business issues.

The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a high standard for coding best practices, passion for pushing the team to improve their standard practices, technical skills for leveraging analytical tools to solve large scale problems and designing tools when they don't exist, technical aptitude to remain abreast with related science technologies, leadership in charting new analytical courses, and excitement to use iterative approaches to tackle long-term challenges

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:

Deep understanding of statistical and machine learning models. Proven experience building models and placing models into production.Supporting implementation of advanced analytics in industry Resolving resolving issues at Data Platform. Strong experience on VNF, Kr8 Platforms. Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines. Experience in optimization problems, and solving those problems at scale
Presenting information using data visualization techniques

Identify valuable data sources and automate collection processes

Analyze large amounts of information to discover trends and patterns

Build predictive models and machine-learning algorithms

Combine models through ensemble modeling

Propose solutions and strategies to business challenges

Collaborate across different business unit and product development teams

Requirements:

Strong Skills of machine-learning and AI

Strong 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)

Excellent communication and presentation skills

MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred

Experience in data mining

Experience in product development

Job Types: Full-time, Permanent

Pay: ?2,600,000.00 - ?3,300,000.00 per year

Benefits:

Flexible schedule Health insurance Internet reimbursement Life insurance Paid sick time Paid time off Provident Fund
Schedule:

Day shift Monday to Friday Morning shift
Experience:

Data science: 7 years (Required)
Work Location: In person