DBS Asia Hub 2

Data Science Machine Learning (BB-C2848)

Found in: Talent IN

Description:
Job DescriptionDBS is the World s Best Digital Bank is on a mission to reimagine banking and make it a seamless and invisible part of our everyday lives. We put digital priorities at the heart of banking, designing and creating products and services to help our customers. Digital innovation pervades every part of the bank, from our consumer banking arm to corporate banking arm. With a strong culture of innovation, experimenting with new technology and collaboration with the FinTech community, we aim to simplify banking so we can help others Live More, Bank Less.At DBS, we see ourselves as a 22,000 people start up, leveraging start up thinking while relying on the latest innovation to design and develop technology solutions for our customers and people.We re looking for technologists across varying levels all over the world to be part of a major transformation programme to reimagine banking.Based in Singapore, you ll be leveraging the latest technology to develop mission critical applications from scratch, using Big Data and other OpenSource technologies, Microservices, cloud technologies, Agile and DevOps ResponsibilitiesAttract, develop, and retain a world-class team of data scientists (currently 20, grow to 40-50 in couple of years), including providing deep technical leadershipIdentify opportunities and apply Machine Learning to drive the agenda for customer acquisition, customer management and customer servicing in Consumer Banking Group to transform DBS to be most intelligent bank in the worldLead development, implementation and continuous improvement of models and strategies; Leverage in-house, external and other open source machine learning software/algorithms; Research and apply superior data and methodology for the modelsPerform ongoing monitoring of the models; Interact with business leaders to ensure the models are correctly used in the decisions; Present model performance and insights to business leadersTransform from current SAS based model development to development and deployment using open source ML technology stack using PySpark, Spark MLlib, SciKit, Tensorflow, Pandas, Matplotlib etc. Drive transition to cloud native ML technology in AWS, Google Cloud or Azure.Provide expert level support to data scientists and data engineers to deliver high quality machine learning data pipelines, APIs and end to end solutions.Maintain and advance deep technical skills and knowledge, keeping up to date with market trends and competitive insights, and share within the technical communityDevelop strong relationships with key business stakeholders and decision makers to influence and adopt ML across various business domains Candidates Are Required To HaveMaster s degree or higher in computer science, applied statistics or equivalent15+ years of industry experience applying Machine Learning and Artificial Intelligence. 5+ years of industry experience leading a data science team of 20+Machine Learning expert with proven track record of end-to-end experience in model development, testing, implementation and performance tracking; Expertise in statistical modeling methods for supervised and unsupervised learning. These methods include (but not limited to) regression analysis, clustering, decision trees, collaborative filtering, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks and deep learning, feature selection, and factorization methods;Programming skills in Python, Java/Scala, and SQL, and comfort with advanced analytics tools such as R, Spark, and/or Tableau. Strong working knowledge of Hadoop, ETL processes and big data distributed computing practices.Experience working with very large structured and unstructured streaming data pipelines. Ability to solve complex analytical problems using quantitative approaches with a unique blend of analytical, mathematical and technical skillsAbility to communicate the results of analyses in a clear and effective manner with business and leadership teams to influence the overall strategy.Hires, trains, retains and challenges a best-in-class data science team. Ability to inspire, retain and attract top Data Science talent.Experience leading projects; able to prioritize work in complex fast-changing environmentsAbility to set and maintain high standards, highly detailed-oriented and exceptional organizational and follow-through skillsStrong desire to take initiative; thrive on change and comfortable with ambiguityAbility to collaborate closely with various business stakeholders in formulating and prioritising data science engagements.Exceptional ability to visually present and communicate data, analyses, and findings. Comfortable explaining complex ideas to any audience.Ability to travel up to 25% of the time Candidates Should Also Possess The Following Preferred SkillsExpertise in Big Data Engineering including Apache Spark, Apache Kafka, Hadoop, No-SQL databases such as Hbase, Cassandra, OLAP columnar storage systems, Bit Map indexes to handle millions of consumers and thousands of attributes while allowing real-time querying and segmentationPresence in open source projects or data science competions will be huge plus.,

calendar_today3 days ago

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location_on Hyderabad, India

work DBS Asia Hub 2

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