Applied Data Scientist-Financial ServicesWe are looking for an Applied Data Scientist for customer-facing projects that combine data science with deep knowledge and understanding of machine learning and big data technologies to create solutions for customers' challenges and needs, defining and developing appropriate technical and business solutions. The Applied Data Scientist will work closely with our Product Management, Algorithm, Engineering and Customer Success teams.Key ResponsibilitiesDeliver successful deployment and PilotsManage and design the Customer-specific technical solution throughout the project life cycle.Work on various data sources and apply sophisticated feature engineering capabilitiesBring and use business knowledgeExtract insights and actionable recommendations from large volumes of data and Investigate anomalies in Big DataBuild and manage technical relationships with customers and partners.Provide product requirements input to Product Management teamTrain the customers on the system â€" system usage and monitoring aspects.Willingness to travels 25% in US as well as abroad to customers as neededRequirementsMust have proven professional experience in data analytics for financial services with strong data mining and forensic skillsExperience working with customers. Advantage â€" financial customersMust have Hands-on experience and knowledge of scripting languages: Python/PySparkHands-on experience using Big Data and statistical analysis tools such as Hadoop/Spark, SQL, and MatlabWorking experience with Linux OS (Redhat/Ubuntu).Excellent communication skills (speaking, presenting...)Core CompetenciesAble to solve tech problems for customers; improvise; cope with unexpected challengesAble to drive relevant internal functions to deliver/solve a problem for customers/partnersAbility to design creative solutions for complex requirementsAbility to learn independently and to work with minimal supervision at customers' sitesStrong interpersonal relationship buildingA motivated, self-starter who can demonstrate above average analytical and technical skillsAbility to execute multiple projects and drive key business results under tight deadline