Data Science Consultant

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

You will join the Taipei headquarter office and be part of our Professional Service team. You will join a team delivering world-class data applications to generate lasting impact for Appier’s notable clients in the cross countries.

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-fold: 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.

Responsibilities 

• Be a Project Manager, 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. 
• Be a Delivery Manager, 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.
• Hands on Delivery, you may partner with project team members to implement different tasks during the project cycle according to your own expertise.
• Be an Account Owner, you will be directly interacting with different clients. Build trusted client relationships, deliver the value, gather feedback, and identify pain points for future opportunities. 
• Be an Enabler, 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.

About you 

[Minimum qualifications]

• 1-3+ year experience in project management or consulting roles
• Strong reporting skills by presentation and data visualization.
• Experience of project delivery in specific industries (e.g. Retail, Internet companies, Media), specific solutions (e.g. Customer Data Platform, Personalization, User Experiences, Digital Marketing, Analytics, Business Intelligence)
• Excellent verbal and written communication skills. Ability to convey technical concepts to non-technical stakeholders.
• Experience in machine learning for analytics projects
• Hands-on experience in building and implementing predictive models using machine learning algorithms.
• Strong understanding of applied statistics and data mining techniques.
• Familiarity with a variety of technical tools for the manipulation of datasets.
• Strong problem solving skills, be able to tackle complex data-related issues and proposed effective solutions.
• Fluency in English.
• Excellent organizational, communication, writing and interpersonal skills and a team player.