About Appier

Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.



About the role

Who You’ll Work With

You will join our Seoul office and be part of our Global Machine Learning Professional Service team. You will join a team delivering world-class data applications to generate lasting impact for Appier’s notable clients in the Korea region and beyond.


The Professional Service team is a rapidly growing business within Appier and we work much like a start-up within Appier. Our team’s visions are two folded: first, we deliver distinctive end-to-end solutions to our enterprise clients using state-of-the-art Machine Learning algorithms to solve their industry problems; second, we productize from the impactful success of our Machine Learning algorithms into Appier’s core product lines.


We help our clients to transform their big ideas into a wide variety of ML-driven innovations - including digital marketing, personalization decision engine, analytics, embedded ML applications, conversational commerce, O2O, New Retail, etc - in a wide range of consumer-centric industries like FinTech, Retail, E-Commerce, E-Gaming, etc. The solution offerings include but are not limited to:

  • Customer intelligence that uses ML analytics to create predictive user profiling and improve decision making.
  • Product intelligence that uses a hybrid of NLP, CV, Deep Neural Network to extract knowledge from multi-modal data models.


Our Machine Learning Professional Service Team is composed of people - from scholars, Kagglers, analysts, architects, consultants, engineers with deep algorithmic knowledge - by their passion for shaping the AI business and creating the AI models to land in the real and live business settings. You'll be actively working with them and this is an ideal place to learn from the top Data Scientists, and teach them a thing or two from your region along the way.



Responsibilities of the role

What You’ll Do


At the pre-sales stage, you will proactively work with Appier’s Enterprise Solution sellers based in Korea to support Machine Learning solutioning in a variety of industries. In Machine Learning, “Problem is better than Solution”; in dialogues with data scientists, and with clients, you will continue to frame and propose the best possible solution and algorithm. You will develop solution proposals (e.g. uses cases, project planning, architectures) and present to business users - or technical users. Seeing is very much believing, especially in the AI world, you will work with the Professional Service team to create prototypes / POC by combining Appier’s products and Machine Learning tools on the cloud.


At the delivery stage, your work will be project oriented. You will manage the end-to-end Machine Learning project lifecycle to meet the success criteria – from project planning, project execution, to project reporting. You will lead the project team formed by different roles (data scientists, data analysts, and engineers) to implement a real AI application: from goal setting, data collection design (batch and real-time), ELT, data exploration & feature engineering, model training and evaluation, system integration, analytical reporting, and continuous optimization, and even MLOps.


With the success of project delivery, you will get exposure to transmit the knowledge of methodology to Appier’s Sales Enablement team to enforce the continuation of business scaling to the worldwide teams on an ongoing basis.


AI is a field being shaped and no one is an all-round expert. Working within the Professional Services team, you may hands-on Machine Learning analysis, and modeling, or lead the data scientists and engineering crews to complete it. A flexible career path will help you to continuously develop business skills as well as Machine Learning skills (based on your interest).


Lastly, while most companies are still trying to search for an AI initiative, AI methodologies, AI technologies, and AI platforms, you will be the AI advocate and practitioner, get exposure to real big retailing companies, to innovate new models, tools, and techniques in an encouraging environment by applying your skills. This is a fun and challenging opportunity.






* Fluency in English.

* Excellent organizational, communication, writing and interpersonal skills.


We understand nobody is a superman; you'll be an expert in any of the following fields to join us, to engage and deliver the exciting ML projects:


*3-5+ years of real world experience in a data science or data analytics role.

  • Hands-on experience building and implementing predictive models using machine learning algorithms.
  • Strong understanding of applied statistics and data mining techniques.
  • Experience with one specific industry (e.g. retailing, FinTech, internet companies, media) and one specific problem (e.g. recommendations, RFM, sales forecast, predictive customer lifetime value, predictive user profiling, time-series, outlier detection)
  • Skillful at multi-variant testing and continuous optimization methodology, or experiences with online A/B testing problem.
  • Fluency with scripting (Python/etc).
  • Enthusiasm to frame and solve real-world problems is, of course, a must. Customer-facing experience is a big plus.
  • Familiarity with a variety of technical tools for the data engineering pipeline and BI/Analytics tools is a plus.


*3-5+ years of real-world experience in a consultant role, managing end-to-end project delivery.

  • Strong project management skills.
  • Strong reporting skills by presentation and data visualization.
  • Experience of project delivery in specific industries (e.g. retailing, FinTech, internet companies, media), specific solutions (e.g. Customer Data Platform, Personalization, User Experiences, Digital Marketing, Analytics, Business Intelligence)
  • Familiarity with consultative sales processes in Machine Learning or analytics projects.
  • Familiarity with a variety of technical tools for the manipulation of datasets.
  • Experience dealing with complex customer organizations.


* 3-5+ years of real-world experience in a pre-sales or solutions architect role.

  • Strong skills to deliver presentations, POC/POT, solution architectures and proposals to C-level.
  • Experience dealing with complex customer organizations
  • Deep experience with specific industries (e.g. Retailing, FinTech, internet companies)
  • Familiarity with consultative sales processes in Machine Learning or analytics projects is a big plus.
  • Familiarity with Big Data and Machine Learning technologies is a big plus.
  • Skillful at Cloud platform (Google Cloud, AWS, or Azure) is a plus.




Why join us?


We believe in building a great working environment where passionate individual can give their best, and to work with a talented team. To reward Appiers for their contribution, we also work hard to offer perks and benefits to make their life better

Apply for this Job

* Required

(File types: pdf, doc, docx, txt, rtf)
(File types: pdf, doc, docx, txt, rtf)

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in Appier’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.

Race & Ethnicity Definitions

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.

Form CC-305

OMB Control Number 1250-0005

Expires 05/31/2023

Voluntary Self-Identification of Disability

Why are you being asked to complete this form?

We are a federal contractor or subcontractor required by law to provide equal employment opportunity to qualified people with disabilities. We are also required to measure our progress toward having at least 7% of our workforce be individuals with disabilities. To do this, we must ask applicants and employees if they have a disability or have ever had a disability. Because a person may become disabled at any time, we ask all of our employees to update their information at least every five years.

Identifying yourself as an individual with a disability is voluntary, and we hope that you will choose to do so. Your answer will be maintained confidentially and not be seen by selecting officials or anyone else involved in making personnel decisions. Completing the form will not negatively impact you in any way, regardless of whether you have self-identified in the past. For more information about this form or the equal employment obligations of federal contractors under Section 503 of the Rehabilitation Act, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

How do you know if you have a disability?

You are considered to have a disability if you have a physical or mental impairment or medical condition that substantially limits a major life activity, or if you have a history or record of such an impairment or medical condition.

Disabilities include, but are not limited to:

  • Autism
  • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, or HIV/AIDS
  • Blind or low vision
  • Cancer
  • Cardiovascular or heart disease
  • Celiac disease
  • Cerebral palsy
  • Deaf or hard of hearing
  • Depression or anxiety
  • Diabetes
  • Epilepsy
  • Gastrointestinal disorders, for example, Crohn's Disease, or irritable bowel syndrome
  • Intellectual disability
  • Missing limbs or partially missing limbs
  • Nervous system condition for example, migraine headaches, Parkinson’s disease, or Multiple sclerosis (MS)
  • Psychiatric condition, for example, bipolar disorder, schizophrenia, PTSD, or major depression

1Section 503 of the Rehabilitation Act of 1973, as amended. For more information about this form or the equal employment obligations of Federal contractors, visit the U.S. Department of Labor's Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp.

PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. This survey should take about 5 minutes to complete.