Job Title: Vice President – Data Scientist | Industry Focus: Global Commodities | Location: Singapore Overview This position is responsible for mining, analyzing, modeling large structured and unstructured datasets, and applying advanced statistical predictive models and leading machine learning algorithms to solve business questions using but not limited to the following tools/techniques: SQL, R, Python, NLP, Spark, Oxdata H20, MapReduce, Hadoop, NoSQL databases. The ideal candidate should have exposure working with large datasets (petabytes) including click stream and social media API’s. Additionally, the Data Scientist will work with IT to build out an advanced analytics infrastructure to enable real-time predictive analytics. Job Skills Requirements You will be a Singaporean Citizen or a Singapore Permanent resident At the minimum must have a graduate level degree in a quantitative discipline (i.e. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Computer Science, etc.). A PhD in Mathematics, Statistics or Computer Science with focus on Machine Learning is preferred 3-8 years of experiences in data analysis and model building 2-5 years of experience managing a team, goal setting and performance management. Experience driving large analytic projects and programs to completion Must have experience in applying advanced statistical models and machine learning techniquesto solve business questions using but not limited to the following tools/technologies: SQL, R,Python, NLP, Spark, Oxdata H20, RapidMiner, MapReduce, Hadoop, nosql databases, SPSS, SAS Conduct data analysis and support advanced analytical and data mining (clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, timeseries analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis Strong practical knowledge of analytical techniques and methodologies such as machine learning/supervised and unsupervised techniques, segmentation, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, data mining and optimization techniques Image processing and object clustering and identification is a plus Consistent track record of delivering models that answer difficult questions Experience mining large amounts of data (i.e. transactional, click stream, social media, IoT) to build predictive and descriptive statistical models Experience working with big data and real-time/near-real-time analytics and big data platforms like Hadoop is a plus Ability to document and defend analyses developed. Ability to handle imperfect and disconnected data, curate / enrich / connect to develop meaningful analyses Experience working with IT to facilitate building an advanced analytics infrastructure to enable real-time predictive analytics Skilled at translating analysis findings to a non-analytical audience Excellent verbal and written communication skills for team collaboration Proven ability to work on multiple complex and competing business objectives in a fluid and dynamic environment What You Will Be Doing Interested candidates may send their applications to info@opalcrest.com and learn about their detailed role. Job Title: Asst. Vice President – Data Analyst | Industry Focus: Global Commodities | Location: Singapore Overview This position is responsible for modeling, designing, implementing and querying data using SQL and scripting languages. The ideal candidate is someone who loves learning new technologies, and is passionate about delivering value to end users. The Data Analyst is focused on automating collection and delivery of reporting data into our data warehouse a mixture of SQL Server and Amazon RedShift, and is expected to be a 60/40 mix of development and operational work. Job Skills Requirements You will be a Singaporean Citizen or a Singapore Permanent resident MS in Computer Science or related field 3-5 years of experience working with data-centric systems 3+ years of hands-on experience using SQL, including familiarity with normalization and aggregation 3+ years of hands-on experience with at least one scripting language (Ruby, Python, Groovy, etc.) Experience consuming data from REST APIs Experience with standard authentication mechanisms. Experience automating direct interactions with web sites Experience with Amazon Web Services & Redshift is a plus Experience with visual ETL such as Microsoft SSIS and 3D querying languages such as MDX Experience with BI/reporting systems, particularly Tableau, is a plus Experience in mapping data across data sources and parsing and cleaning data using scripts Should be comfortable working with a broad range of qualitative and quantitative techniques and have a strong GIS background is a plus. Experience in Geospatial and 2D/3D Modeling experience Statistics and related software (ie. SPSS, MatLab) is a plus Familiar with classification and pattern detection in organizations is a plus Fluency in workflow creation and data organization Oracle PL/SQL, Oracle Analytics Functions, Cursors, SQL query tuning, Stored Procedures, Functions, EXPLAIN PLAN, Data Definition Language (DDL) and data Manipulation Language (DML) Spotfire, Information Links, On-demand data, Integration with R (Data Functions), Iron Python Scripting, Javascript Visualizations (e.g., D3) R, RStudio. Develop custom functions, ability to leverage the “apply” functions for efficient and compact coding Python Scripting — Intermediate Unstructured Data Analysis / Data Mining is a plus Data and Process modeling—Advanced Hands-on Extremely independent, self-starting Ability to work in an extremely agile and iterative environment. No formal requirements will ever be presented to the Data Analyst. Data Analyst must be able to collate requirements, and “put the pieces of the puzzle together”. Ability to handle constructive criticism and comments provided during code reviews and walkthroughs Very detailed oriented and intensely focused on quality Excellent communication and presentation skills. What You Will Be Doing Interested candidates may send their applications to info@opalcrest.com and find about their role in detail. Job Title: Associate – Sr. Programmer | Industry Focus: Global Commodities | Location: Singapore Overview This position is responsible for programming. The ideal candidate is someone who loves solving complex problems with C++, Python, and R. The candidate should also have knowledge in data querying using SQL and use of postgresSQL. Job Skills Requirements • You will be a Singaporean Citizen or a Singapore Permanent resident • Bachelors in Engineering/Computer Science or related field • Outstanding graduate with strong letters of recommendation from faculty or graduate with 2 years of hands on experience • Experience using SQL, including familiarity with normalization and aggregation • Experience with at least one scripting language (Ruby, Python, Groovy, etc.) • Experience in writing APIs and accompanying documentation • Experience with Amazon Web Services & Redshift is a plus • Experience with visual ETL such as Microsoft SSIS and 3D querying languages such as MDX • Experience with BI/reporting systems, particularly Tableau, is a plus • Statistics and related software (ie. SPSS, MatLab) is a plus • Spotfire, Information Links, On-demand data, Integration with R (Data Functions), Iron Python Scripting, Javascript Visualizations (e.g., D3) • R, RStudio. Develop custom functions, ability to leverage the “apply” functions for efficient and compact coding • Python Scripting — Intermediate • Extremely independent, self-starting • Ability to work in an extremely agile and iterative environment. • Excellent communication and presentation skills. What You Will Be Doing To find out please email info@opalcrest.com