Data Scientist

Responsibilities: Understands how to gain specific insight from data in order to address a business problem. The Data Scientist creatively applies data science approaches to develop analytic results which turn data into information - information into knowledge and insights - and valuable, actionable insights into better decision making and game-changing strategies. The Data Scientist can identify the necessary input data and where to obtain it; they combine, clean and prepare the required data to ensure the analysis is robust. The Data Scientist is able to communicate the significance of the results back to the business as actionable insights and to identify next steps. Data Scientists often work closely with Data Engineers and Solution Architects to embed a specific technique into a production platform. Understands data manipulation and analysis techniques ranging from data aggregation and Management Information reporting (MI), to statistical-based analytics such as propensity modelling and segmentation, to advanced approaches such as machine learning and predictive analytic approaches. Able to exploit analytical technology including knowledge of coding languages (e.g. R, Python, etc.) Combines core consulting skills with technical versatility as they uncover hidden patterns in data and effectively present results to clients with varying levels of technical understanding. Able to tell stories with data '“ both verbally and visually, helping key decision makers move from ad-hoc analysis into continual data conversations. Takes on a lead role; owns specific work areas and coaches others when needed. Works with a range of specialist resources (including Software Engineers, Technical Architects and business analysts) to develop meaningful insights into data, providing business value to our clients. Takes ownership of one or more areas of work including planning, identifying risks and regular reports to the project manager. On very small engagements, may assume the duties of a technical project manager. Engages with client stakeholders to understand and document the existing data landscape; provides guidance to clients where appropriate regarding data privacy & security guidelines. Applies a variety of statistical, analytical and presentational techniques (in consultation with experts if appropriate) and with sensitivity to the limitations of the techniques. Has a solid grounding in scripting or relevant software development languages (e.g. Python). Investigates corporate data requirements and applies data analysis, data modelling and quality assurance techniques, to establish, modify or maintain data structures and their associated components (entity descriptions, relationship descriptions, attribute definitions) across multiple data sources. Analyses data requirements to establish, modify or maintain database/ model solutions. Has a good understanding of Open Source software (particularly in the area of Big Data) and can evaluate these platforms against COTS products. Able to combine different components (from both Open Source and COTS) appropriately for the use case. Develops and maintains specialist knowledge of database concepts, object and data modelling techniques and design principles and a detailed knowledge of database architectures, software and facilities. Evaluates potential solutions, demonstrating and commissioning selected products relevant to Data Science. Understands advanced data analytic concepts such as Machine Learning. Qualifications: Bachelor's degree in Engineering/IT/Computer Science/Data Science 5 to 7 years of hands-on experience in the IT/Software industry Working knowledge of data models such as Random Forest, Gradient Boosting, Regression etc. Working knowledge of Python Comfortable working on production systems and debugging Working under time pressure to resolve issues and improve models Good communication skills Adaptable and collaborative and good team player. Able to work with a variety of methodologies and technologies.
Tentacle Tech.At Tentacle Tech, we provide quality; cost-effective IT services to clients from various verticals and are striving to achieve our goal in becoming one of the leading solution providers in Malaysia, Singapore and India. We are glad to discuss the areas where Tentacle can work as an extension of your team and bring visible value in some of following areas. 1. Solutions space '“ RPA (we are implementation partner for Kofax), BPM, Assets Management, Services Management 2. Business Intelligence and Analytics space 3. Digital marketing and Mobility 4. Software Development Services 5. Testing and Assurance services 6. Support and Maintenance services 7. IT Outsourcing and Recruitment Leveraging our strong project management capabilities, we can help you in managing projects by bringing onsite, onshore and offshore models. Our Project managers and project leaders would work as one point contact for you, manage project team and take full responsibil