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:

• Develop advanced quantitative modules using a variety of programs/software to support predictive assessment
• Responsible for communicating analytics model behavior/results to business
• Responsible for carrying out technical risk analysis and reliability assessments
• Responsible for performing complex analyses, including optimization, text analytics, machine learning, social-science modeling, and statistical analysis, parametric and non-parametric statistical models and techniques
• Provide recommendations for plans, programs, strategies, policies, and budgets
• Responsible for the design of algorithms that require different models/methods to be used together
• Responsible for driving data quality throughout the organization
• Apply solid understanding of data science techniques and libraries to business problems
• Direct data science teams to complete all project deliverables
• Take a leadership role in the data science community of experts, specifically in the NLP domain
• 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 in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or in a related field, but a Master’s degree is preferred
• 10+ years of experience in Data Science or related fields
• 8+ years of work experience with at least one of the following languages: Python, Java, and R
• Experience with at least one NLP technique such as word embeddings (word2vec, GloVe, fasttext, Transformers), topic modeling (LSA/LSI, LDA, NMF)
• Comprehensive knowledge of modern data science and product/web analytics tools and techniques, including Python and associated data science ecosystem, Machine Learning, Google Cloud Data platform: BigQuery, Dataflow, etc.
• Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques
• Ability to develop and manage complex projects, leading an interdisciplinary team to achieve project goals
• Ability to provide mentorship and guidance for the efficient and technical development of the members of your team
• Advanced quantitative and statistical analysis skills to solve business problems and provide practical business insight using data and a quantitative/scientific approach
• Knowledge of machine learning algorithms such as dimensionality reduction (PCA, SVD, UMAP, t-SNE), decision trees, random forest, gradient boosted trees, logistic regression, DBSCAN, K-means, hierarchical clustering, deep learning (sequential models like RNN/LSTM, convolutional neural networks, attention-based transformers, GANs)
• Proven exceptional verbal and written communication skills to relate with and supervise teams, as well as to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management

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.