Data Scientist - multiple locationsUnitedHealth Group

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm) Primary Responsibilities: Managing stakeholder's expectations, and working with business users to gather requirements, resolve business rule requirements, and perform joint conceptual data model reviews Utilizing a range of existing Big data technologies and data modeling techniques such as star-schema, snowflake, hybrid, and new design techniques optimized for data acquisition, storage and visualization, and evangelizing the data models and techniques Managing the balance of current and future needs or user requirements in both design and content Resolving semantic discrepancies in data definitions that arise among multiple sources and projects Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 2+ years of experience with project methodology (requirements, design, development, test and implementation) 1+ years of experience in Python with analysis experience, programming, and reporting with a solid understanding of data storage structures 1+ years of business analytics work experience 1+ years of experience with Microsoft Excel and Access Hands-on experience in Big Data technologies like HADOOP (Hortonworks preferred but open to Cloudera, MapR or even Apache Hadoop),PIG, HIVE, Mapreduce, Flume, Kafka, Sparks, etc. Experience to Business Intelligence or data analysis reporting Experience to SQL Database and Data Models Experience in BI platform Exposure to tools/platforms Hadoop eco system and DB systems Knowledge of big data/ advanced analytics concepts and algorithms text mining, social listening, recommender systems, predictive modeling, etc. Domain knowledge / expertise (Healthcare) Working knowledge of relational databases, database structures Intermediate level of proficiency with PC based software programs and automated database management systems required (Excel, Access, PowerPoint) Demonstrated process improvement, workflow, benchmarking and / or evaluation of business processes Excellent communication, time/project management, problem solving, organizational, and analytical skills Excellent verbal and written communication skills Preferred Qualifications: 1+ years of experience with reporting and analyzing large amounts of data Knowledge of programming Java/Python/R
Monster

Taguig City, Metro Manila
Permanent
Full-time