Full-Time Data Scientist
ABOUT OUR COMPANY
Stanbury & Co. is a research, advisory, implementation and operational private equity house. Our project experience includes more than $1 billion of projects at various development stages.
Our client portfolio includes renowned entities in the Fortune 500, Forbes Global 2000, Private Equity Funds, Leading Private Companies and Trade Organizations.
In addition, Stanbury Labs, an affiliate of Stanbury & Co., is involved in the development of technology solutions powering various proprietary and client infrastructure, e-commerce, B2B and B2C enterprises and organizations operating globally across various industry verticals.
We are looking for a Data Scientist to join our team. You will be responsible for informing business and product strategy and decisions leveraging data.
You have shown the ability to differentiate between signal and noise in datasets. You will work closely with product managers and engineers to implement and communicate complex statistical models.
You are tenacious and can wrangle data from disparate data sources. You have demonstrated expertise in predictive modeling and dealing with large scale datasets in production environments. You are excited about building sustainable solutions to nagging data problems.
You are creative, and have superior computational, analytical, and communication skills. Throughout, you are focused on helping our customers create, analyze and understand important data.
Extract and analyze data to derive actionable insights
Formulate success metrics for completely novel products, socializing them and creating dashboards/reports to monitor them
Design and analyze experiments to test new product ideas and convert the results into actionable product recommendations
As an end consumer of the data, determine the tracking necessary to enable analytics of our products and features by working closely with product and engineering partners
Enable others in the organization to utilize your work by onboarding new metrics into our self-serve data system and the experimentation platform
Develop models and data-driven solutions that add material lift to principal performance metrics
Provide technical guidance to more junior team members
Exploratory data analysis with the goal of product ideation, prototyping, and developing new and innovative features that can drive additional value for engagement from our members
Communicate the results of your work, to evangelize data-driven product innovation
BS,MS and PhD with at least 3 years of industry experience working with large amounts of real data, ideally at a consumer web or internet based company or government
Educational background to be in a quantitative discipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related discipline.
Experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, Python or other statistical package
Experience providing analytical insights and business reports to product or business functions
Knowledge in one of the following areas is a strong plus: information retrieval, user intent modeling, online and offline measurement of search quality, personalization, mobile search
Experience working in a Unix/Linux environment for automating processes with shell scripting
Experience with Hadoop or other MapReduce paradigms and associated languages such as Pig, Hive, Presto, Spark, Sawzall
Familiar with Hadoop based commercial packages like Cloudera
Experience programming in Java, C/C++, or Python
Good analytical and problem solving skills
Ability to translate business objectives into actionable analyses.
Ability to communicate findings clearly to both technical and non-technical audiences
Experience presenting insights to executive staff on a regular basis
Ability to thrive in an unstructured and dynamic environment
Proficiency in English, both spoken and written in a professional environment
Ability to work with global teams in different time zones and of different cultures
This role will be on a full time basis
To be based in KL Sentral
Compensation commensurate with experience
At least 16 days of annual leave
Work life balance
Flexible working hours
Community Involvement and activities
How to ApplyInterested candidates may drop your resume to,email@example.com firstname.lastname@example.org
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