Perx Technologies
Country : Singapore
  • Full-time

Data Scientist

Perx Technologies Pte Ltd


About Us

Customers today are becoming highly flirtatious, are spoilt for choice and are no longer lured by brand loyalty. The days of rewarding customers based on transactions and post redemptions are gone. Contextual and predictive engagement is fundamental for businesses today.

Perx Technologies, a leading mobile customer engagement and MarTech solutions provider, enables businesses of all sizes to acquire, engage and reward their customers, intelligently and contextually via real-time, predictive insights.

Perx’s enterprise Platform is an integrated end-to-end cloud platform; driven by mobile first, data-led approach that enables businesses to create a new, yet unrealized, revenue stream by transforming their customers’ data into a powerful marketing platform.
Perx’s comprehensive and integrated marketing technology platform leverages on insights and marketing automation; enabling brands to improve its customer engagement through user experience, customer data, and analytics.

The platform’s software as a service(SaaS) architecture enables businesses to quickly integrate customer engagement and rewards management in their existing technology or use as a standalone solution, helping them bridge the gap between B2B and B2C.

With more than five years of experience in innovating, developing and managing its mobile loyalty and rewards app, Perx is one of few leaders in its category with an existing referenceable implementation. Adopting its own enterprise platform, this lends Perx credibility in helping companies generate unrealized revenue streams with the power of intelligent data and a full service marketing campaign manager.

Understanding today’s business challenges, Perx Technologies’ solutions will help conventional businesses that are not capable of fixing their revenue models.

Specialties
Loyalty, Mobile Advertising, Mobile Commerce, Social Loyalty, Customer Relationship Management, Email Advertising, Mobile Loyalty, Engagement, Segmentation, and Identifying Top Customers/Segments.

Founded: 2011.
Headquarters: Singapore.
Industry: Technology - Consumer Services.
Company Size: 11-50 employees.

Website: www.getperx.com

Responsibilities

Excited by Big Data, Machine Learning and Predictive Software technologies? Interested in creating new state-of-the-art solutions using Machine Learning and Data Mining techniques on complex/challenging Data?

At Perx, we are applying state-of-the-art AI and Machine Learning techniques on the Cloud to solve an exciting range of problems. We are looking for talented and experienced Data Scientists who can apply innovative AI techniques to real-world problems. You will turn AI and Machine Learning challenges into real-world solutions.


Responsibilities

Use machine learning, data mining and statistical techniques to create new, scalable solutions for real-world business problems.
Analyze and extract relevant information from business data to help automate and optimize key processes.
Design, develop and evaluate highly innovative models for predictive learning.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Research and implement novel machine learning and statistical approaches.

 

Requirements

Requirements
Ph.D. or Master’s Degree in CS, Statistics, operations research, applied statistics, data mining, machine learning, physics or a related quantitative discipline.
A deep understanding of statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
More than three years of industry experience in predictive modeling and analysis, predictive software development
Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications, would be a plus.
Strong Problem solving ability
Good programming languages skills
> Experience using Python and/or R
> Experience using machine learning libraries eg scikit-learn, caret, mlr, mllib

Strong communication and data presentation skills.
Experience handling large, complex, or challenging datasets
Experience working with distributed systems and/or grid computing

>> Publications or presentations in recognized Machine Learning and Data Mining journals/conferences would be a plus.


Keen to explore?
Drop us a note and let's get a discussion started.

Thanks, in advance.

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