Machine Learning Scientist

1 Month ago • 3 Years +

Job Summary

Job Description

As a Machine Learning Scientist at Appier, you will contribute to research in actual use cases for our products. You will be responsible for building prediction models for advertising and enterprise solutions using machine learning and analytical techniques. You will analyze large amounts of business data, design and develop advanced models for predictive consumer behavior, cooperate with software engineering teams for real-time model implementations, and design scalable automated processes for data analysis, model development, and validation. Furthermore, research and evaluate pioneering machine learning and statistical models.

Must have:

Master's or Ph.D. in relevant field
3+ years experience in data mining, algorithms, etc.
Solid experience in system design and programming
Proven ability to solve challenging problems

Good to have:

Excellent presentation skills

5 skills required

5 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

data-analytics

presentation-skills

saas-business-models

team-management

Job Details

About Appier

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information.

About the role

As a Machine Learning Scientist in Appier, you will be contributing to Appier’s research in actual use case for our products.

Responsibilities

Use machine learning and analytical techniques to build prediction model for advertising/enterprise solutions.
Experience in analyzing and extracting valuable information from large amounts of business data
Design, develop and test advanced models for predictive consumer behavior
Co-operate with software engineering teams to drive real-time model implementations and new feature creations
Design efficient, scalable, automated processes for large scale data analyses, model development, model validation and model implementation
Research and evaluate pioneering machine learning and statistical model

About you

[Minimum qualifications]

Master or Ph.D. in Computer Science, Machine Learning, Math or Statistics. (Familiar with probabilistic model predictive models)
Solid experience in system design and programming, ability to work with big data with minimal engineering support
3+ year experience in data mining, algorithms, statistical analysis, computational NLP and/or machine learning
Proven ability of solving challenging problems in both academia and industry
Extensive publication experience
Self-motivation and an ability to priorities multiple competing challenges in a fast-growth environment
Thinking about thinking; meta-cognition
Applying past knowledge to new situations; remain open to continuous learning
Thinking and communicating with clarity and precision

[Preferred qualifications]