Lead Data Scientist

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:

• Drive client value by:
  • Creating innovative solutions driven by exploratory data analysis from diverse datasets
  • Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
  • Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
  • Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
  • Leading efforts for applied use of machine learning to drive process optimization and transformation
  • Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
  • Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
  • Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
  • Communicate the performance of the machine learning algorithms across an interdisciplinary team
• Create impact at scale by:
  • Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
  • Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
  • Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
  • Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
  • Ensuring complex analytics adhere to statistical best practices
• 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:

• Bachelor’s Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
• 5+ years of experience in handling/active development in data science projects
• 5+ years of experience in Microsoft Azure Cloud, Databricks, Mlflow, Spark SQL & Python
• 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.
• Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
• 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 presentation skills
• Proven solid analytical, problem-solving skills
• Proven cooperative and team player attitude

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.