Associate Manager Data Scientist

• Company Optum
• No. of Openings 5
• Salary Not Disclosed
• Work Type on-site

Job Description :

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:

• Understand business requirements and convert into analytical solution
• Work in a stake holder engagement role and understand business processes
• Lead solution design, delivery & communication for an assigned business engagement
• Lead development of data science algorithms & generate actionable insights as per business needs
• Manage engagements across various teams throughout solution development lifecycle from design to implementation & monitoring
• Ensure appropriate documentation of work for production support and transition readiness
• 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:

• Undergraduate degree or equivalent experience
• At least 6 years hands-on experience of solving real world business problems leveraging data science tools
• Experience of engaging business clients and stake holders
• Good experience with Feature creation & selection
• Working experience & In-depth understanding of statistical techniques (like linear regression, logistic regression, time series analysis, clustering, outlier detection) & tree-based machine learning techniques
• Hands-on experience of text mining and its related applications
• Sound knowledge of SQL, Python & Big Data
• Proficient in MS Office tools as Excel/PowerPoint/Access
• Good understanding of Deep learning algorithms and their applications
• Excellent written and oral communication skills
• Excellent problem-solving & story-telling abilities with analytical mindset
• Excellent interpersonal and team skills
• Ability to lead a team and demonstrate excellent hands-on skills as well
• Ability to work well under pressure in a fast-paced environment while demonstrating good level of maturity

Preferred Qualifications:

• Experience on US Healthcare Domain
• Understanding & experience of Bigdata techniques such as HDFS, Hive, Spark, MAPRDB etc.