Data Scientist

Who we wantWe are looking for people passionate about using data and analysis to make things happen. We want people who believe strongly that within mountains of customer service data, are insights that can improve the lives of others. We want people who love finding compelling patterns within big data, finding the story buried in the data, and communicating insights and opportunities. We seek people who want to join a team of analysts and data scientists in developing data-discovery tools and creative approaches to interpretation of data, to move both Alorica, its clients, and its customers.What you will doAlorica data scientists work in small 2-3 person teams on a range of strategic projects, to inform executive decision-making, to support internal operations, and to improve client performance. We measure and model the performances of call center sites and the clients they support, along with the interactions between agents and customers. We have big data that no one else has, and you will use your technical skills to analyze large data sets to understand customer behavior. Beyond technical skill, you will need to exercise business judgement in prioritizing your efforts, and the communications skill to interact with team members in the United States or non-technical colleagues.While transactional data may be structured and within a data warehouse, nearly every project will require that you merge external structured or semi-structured data or create your own data lake. Sometimes, you will spend a significant amount of time trying to figure out what data exist, who can help you get it, and how to transform it to become more useful. The data you work with may be incomplete, or require you to cleanse or process it, and develop a scholarship over its limitations.Like traditional business analysts, you will use query skills and statistical packages such as SAS and SQL. To build models and algorithms, you may need operations research skills. Some projects will require machine learning techniques, such as random forest decision trees, topic modeling, similarity indexes, and deep data mining. The best tools and techniques to use change project-by-project, and if there is one certainty, it is that you will need to teach yourself new skills along the way.QualificationsWhat you needA bachelor’s degree in quantitative discipline: statistics, operations research, mathematics, economics is preferred. We will consider degrees from other programs provided candidates have significant technical experience and skills. Master’s degree or Ph.D. a plus.Applicants must be willing to work in Quezon City, and must be willing to work on a mid-shift (5pm-2am local) schedule.Proficiency in reading, writing, and speaking English required.2+ years industry experience in data mining with large amounts of demographics or customer service data with statistical software SAS (e.g., SAS Enterprise Miner, SAS Enterprise Guide), SQL, R, Python, or SPSS; experience with unstructured data, Hadoop, pig, hive a plus.Experience building predictive models or algorithms, scoring accounts based on attributes, and implementing them in a production environment is preferredKnowledge in machine learning, natural language processing (NLP), text analytics and topic modeling preferredKnowledge of database administration (MS SQL Server, MySQL, Oracle, Amazon Web Services, MS Azure, etc.) preferredAdvanced knowledge of MS Word, Excel, Access, and PowerPoint required.Experience with business intelligence and presentation tools such as Tableau, Qlikview, or MS PowerBI a plus.The ability to explain complex technical material to nontechnical or executive audiences. Experience working with remote teams in the United States a plus.Ability to translate business objectives in actionable analysesCandidates must be authorized to work in the Philippines.