Data Scientist Advanced - Singapore - Continental Technology Solutions

Wei Jie

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Wei Jie

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Description
**Job Description:
- **
1. Job role

As the Data Scientist, you will focus is on predictive analytics to derive actionable insights to intervene positively in the customer's digital journey.

You will manage data science deliverables, provide technical expertise on advanced analytics and hyper-personalization.

You will be required to collaborate with business and technology teams in the delivery of data science/analytical capabilities to achieve the targeted business outcomes.

You will need to be creative and resourceful and will utilize traditional statistical methodologies as well as newer techniques such as computational statistics, data mining, big data capabilities and to incorporate Machine Learning/AI Techniques.


2. Responsibilities
Develop and solution of predictive analytics stack to derive actionable insights leading to customer interventions.

Perform full life-cycle Data Scientist/Analyst activities, including conceptualization to operationalization.


Work on 'connecting the dots' from the data, to modelling, to insights, to actionable outcomes, to solv ing business problems.

Collaborate with cross-functional Business and Technology teams to identify and prioritize actionable, high-impact insights in the customer servicing domain.

Perform customer behavioural analytics with bias towards actionable insights.

Provide thought leadership based off current business and industry trends in advanced analytics.


3. Requirements

Working with state-of-art data science and machine learning tools such as Spark, Tensor Flow and mastery in programming languages like SQL, Python, PySpark.


University Degree or higher in Applied Statistics, Data Mining, Machine Learning, Computing or related Quantitative Discipline, with a strong background in statistical concepts and calculations.

Proven ability on structured problem solving, data-driven analysis, real time analytics, and deriving actionable outcomes in solving business problems.

Deep understanding of statistical and predictive modelling concepts, machine-learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.

Curious and have a strong appetite for intellectual challenges.

Keen on learning, on data, solving for scalability, and being agile.

Excel at making complex concepts simple and easy to understand.

Comfortable leading in a fast paced, hypothesis driven, collaborative, and iterative engineering environment.

Driven, strategically focused, self-starter and organized with strong attention to detail.

A good team player with excellent communication skills.


_If you are interested kindly forward your resume to _

_a_
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ravind

Contact Person

_Aravind_
***


_a_
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