Data Scientist role at Optum focusing on analyzing large datasets using Hadoop, machine learning algorithms, and SQL. Requires experience with R, Python, Spark, and strong communication skills. Opportunity to impact healthcare outcomes.
Must have:
Machine Learning
Hadoop Ecosystem
R, Python, Spark
SQL, Excel
Good to have:
Time Series
Decision Trees
Artificial Neural
Genetic Algorithm
Perks:
Health Equity
Career Development
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About the job
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 diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to startCaring. Connecting. Growing together. Primary Responsibilities
Perform offline/online analysis of large data sets using components from the Hadoop ecosystem
Involve in big data technologies and prototype solutions to improve our data processing and analytics architecture
Identify project issues, communicate them and assist in their resolution
Understand the healthcare domain and execute numerous projects at the same time
Cooperative and team focused attitude
Help the client to make efficient decision based on their need
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
Experience in R, or Python or Spark (Mlib)
Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors
Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc.
Working knowledge of tools like SQL, Excel
Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
Skills to create opportunities using machine learning or artificial intelligence
Proven excellent communication and decision making skills are essential
Proven solid analytical, problem solving and decision-making skills
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
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