Job
Description
Lead Data Scientist - APM Location: India Ref: REF130O Job Function: Information Technology Company Description Every minute of every day, Smiths Detection s threat detection and security screening technology helps to protect people and infrastructure, making the world a safer place. Smiths Detection, part of Smiths Group is a global leader in the development, manufacture and management of security and detection solutions designed to make the world a safer place. Our technology provides threat detection and screening solutions for customers in our key markets: aviation, ports and borders, defence, and urban security. Our expertise spans 21 global offices, seven manufacturing sites and five R&D centres, with a global network of 3,000 dedicated colleagues contributing towards over 40 years at the frontline of advances in safety and security. This results in careers built on variety and the opportunity to work on a range of state-of-the-art solutions, where you can develop your knowledge and experience every day. Job Description Smiths Detection is seeking an experienced Senior Data Scientist to join the company on a permanent basis. The successful candidate will bring a strong background of using AI/ML/DL algorithms and techniques. You are expected to contribute your proven experience as a Machine Learning Engineer. Smiths Detection s Digital Platform is an innovative global security platform designed to transform the way government agencies and organizations secure and manage their ports, airports, infrastructure and border checkpoints. It brings all security operation information together onto a single, integrated and secure platform to achieve 100% data inspection of all cases. Using insights produced through machine learning, artificial intelligence (AI) and data science, our platform enables people to make informed decisions quickly to protect against any border security threat. Smiths Detection is looking for dynamic, innovative and motivated software architects to be the part of its global platform and applications development team in Technology group. The purpose of this role is to develop, sustain and enhance technical architecture of Smith s cloud (and on-premise) based Platform and its applications. The Senior Data Scientist is part of the overall Platform and Application Architecture group, working closely with Sales, Products & Technology, Program Management, Service and overall business management to deliver successful pursuit outcomes and grow customer engagement, intimacy and our opportunity pipeline. This person uses professional concepts and company objectives to resolve complex issues in creative and effective ways. The role brings the capabilities of solution architecture and design using latest tech stack and in house developed platform. He/she applies extensive technical expertise and has full knowledge of other related disciplines. The role requires person to be hands-on software developer. Responsibilities: Study and transform data science prototypes Design machine learning systems Research and implement appropriate ML algorithms and tools Develop machine learning applications according to requirements Select appropriate datasets and data representation methods Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results Train and retrain systems when necessary Extend existing ML libraries and frameworks Keep abreast of developments in the field Collaborate with engineering and product development teams Qualifications At least 10 years of experience with 7 years of experience as data scientist using AI/ML/DL algorithms and techniques. Must possess at least a Bachelor s degree in Electrical/Electronics Engineering and/or Computer Engineering/Science or equivalent. Master degree is preferable. Proven experience as a Machine Learning Engineer or similar role Ability to understand data, perform exploratory analysis, hypothesize, create data pipeline, arrange data, perform predictive Analytics and create powerful Visualizations. Understanding of data structures, data modeling and software architecture Deep knowledge of math, probability, statistics and algorithms Ability to write robust code in Python, Java and R, Matlab Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Excellent communication skills Ability to work in a team Outstanding analytical and problem-solving skills. Leveraging and contributing to Open Source projects Knowledge of open source tool chains and technologies Excellent written and verbal communication skills
