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)

OptumLabs is looking for a Senior Machine Learning Scientist with deep subject matter expertise in image processing, NLU and SLU (Natural language understanding and Spoken Language Understanding) who will be part of a team leading the technical development and inventions that allow Optum machine learning products drive positive impact in the healthcare business.

Your expertise will bring business and industry context to science and technology decisions. As part of the Applied Science Group, you set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your code, designs and documents are exemplary and are used as references across the organization.

A successful candidate is a hands-on applied scientist expert that will tackle intrinsically hard problems, acquiring expertise as needed. The candidate will help decompose complex problems into straightforward solutions.

Positions in this function produce innovative solutions driven by exploratory data analysis from unstructured, diverse datasets typically measured in gigabytes or larger. Applies knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement. Uses a flexible, analytical approach to design, develop, and evaluate predictive and prescriptive models and advanced algorithms that lead to optimal value extraction from the data. Works with analytics and statistical software such as SQL, R, Python, Hadoop and others to perform analysis and interpret data. This function is not intended for employees performing the following work: less complex analysis on small data sets; rules-based algorithmic or descriptive analytics; development of big data infrastructure.

Primary Responsibilities:

• Reviews the work of others
• Develops innovative approaches
• Sought out as expert
• Serves as a leader/ mentor
• Help design and develop the next generation of NLP, ML & AI products, and services for healthcare
• Develop machine learning and deep learning models and systems in domains including, but not limited to: image processing, NLP, NLU, NLG, SLU and multidimensional time series forecasting among others
• Manage NLP & ML models lifecycle for a suite of products
• Run large complex proof-of-concepts for the healthcare business
• Manage prioritization and technology work for building NLP, ML & AI solutions
• Lead the full end-to-end machine learning development process including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation
• Establish best practices for end-to-end deep learning and machine learning development cycle to ensure rigor in process and quality in outcome
• Work with a great deal of autonomy to find solutions to complex problems
• 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:

• MSc in Computer Science, Statistics, Electrical Engineering, or another quantitative field
• 5+ years of industry/academic experience in data science, machine learning or a related field
• 3+ years of experience with Machine Learning and Deep Learning modeling
• 3+ years of experience applying computational algorithms and statistical methods to both structured and unstructured data
• 2+ years of experience with Deep Learning Frameworks and Distributed training
• Excellent communication, writing and presentation skills

Preferred Qualifications:

• PhD in Computer Science, Statistics, Electrical Engineering, or another quantitative field
• Significant experience in deploying scalable solutions to complex problems, from defining the problem, implementing the solution, and launching the new product successfully
• Experience in the health care industry
• Ability to mentor and train scientists on complex technical issues

Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make health care work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.(sm)