Piatrika Biosystems

Data Scientist

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Date not provided
Last verified at source
9 hours ago
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We are looking for passionate data scientists interested in building things ground-up. There is ample room to innovate by questioning conventional wisdom and creating world-class software, and working closely with management to expand cross-functional skills. **RESPONSIBILITY** As a data scientist, you will be exposed to : * Work closely with your business to identify issues and use data to propose solutions for effective decision making. * Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation * Use machine learning tools and statistical techniques to produce solutions to problems * Test data mining models to select the most appropriate ones for use on a project * Maintain clear and coherent communication, both verbal and written, to understand data needs and report results * Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods * Horizon scan to stay up to date with the latest technology, techniques and methods * Conduct research from which you’ll develop prototypes and proof of concepts * Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work **SKILLS** * We appreciate passionate and motivated people that have zeal to reach for the sky. We value ideas and encourage progressive mindset and out of the box thinking. * Most important skill we expect is excellent analytical and problem-solving ability. Additionally, we expect candidates to have: * Experience programming with Python * Good understanding of machine learning, different algorithms and their purpose. * Experience with some of the tools like SciKit, Tensorflow, Keras, SKLearn etc. * Feature scaling and optimisation * Productionising data science products **NICE TO HAVE** * Recruit, train and lead a team of data scientists * Have responsibility for the organisation’s data science strategy * Establish new systems and processes and look for opportunities to improve the flow of data * Evaluate new and emerging technologies * Represent the company at external events and conferences * Build and develop relationships with clients. * Experience of AWS based data science facilities like Sagemaker, Athena, Glue etc will be a plus point. **OFFER** competitive salary and stock options to the right candidate. We believe a flexible work schedule is vital for the work-life balance and we promote that. **QUALIFICATIONS** Typically, a degree in a computer science, mathematical or science-based subject to work as a data scientist can catch our attention BUT we are more concerned about what a person can do and we really hope we don’t have to look at your academic qualifications.