Data Scientist
Job Summary
Job Description
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
11 skills required
Job Details
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 start Caring. Connecting. Growing together.
Primary Responsibilities
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
- 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
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