Data Scientist - Python

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities

• Managing stakeholders 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
  
  

• Undergraduate degree or equivalent experience
• 4+ years of experience in Python, SQL, Tableau and/or Power BI
• 4+ years SAS or R with analysis experience, programming, and reporting with a solid understanding of data storage structures
• 4+ years of business analytics work experience
• 3+ years of experience with Microsoft Excel and Access
• 2+ years of experience with project methodology (requirements, design, development, test and implementation)
• 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
• Knowledge of big data/ advanced analytics concepts and algorithms text mining, social listening, recommender systems, predictive modeling, etc.
• Working knowledge of relational databases, database structures
• Exposure to tools/platforms Hadoop eco system and DB systems
• Intermediate level of proficiency with PC based software programs and automated database management systems (Excel, Access, PowerPoint)
• Demonstrated process improvement, workflow, benchmarking and / or evaluation of business processes
• Demonstrated excellent communication, time/project management, problem solving, organizational, and analytical skills
• Demonstrated excellent verbal and written communication skills
  
  

• 5+ years of experience with reporting and analyzing large amounts of data
• 4+ years of experience in managing a team of Data/Statistical analysts
• Knowledge of programming Java/Python/R
• Domain knowledge / expertise (Healthcare)