Sr. Data Scientist - Analytics - Remote

Position: Sr. Data Scientist - People Analytics - Remote
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 inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The People Analytics team at Optum provides insights and perspective on our employees and workforce trends that allow us to fulfill our mission to help people live healthier lives and to help make the health system work better for everyone.

In this role, you will be an integral part of the People Analytics team directly supporting Labor Relations and report to the Director of People Analytics. You will develop and implement tools to drive improved decision making and business performance by providing executive insights and key trends to Labor Relations and People Business Partners as well as other leaders across the enterprise.

You will collaborate with the team to translate business objectives and challenges into analytics projects, prioritize competing priorities, share best practices, and deliver analytics and reporting of key business trends to human capital business partners.

You'll enjoy the flexibility to work remotely
* from anywhere within the U.S. as you take on some tough challenges.

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

* Consult with senior leaders on the People Team and Labor Relations Team to understand key priorities and utilize data to help them make better decisions

* Utilize internal and external data to identify opportunities to identify risks, improve employee experience and performance

* Simplify complex data into actionable insights

* Discover and communicate meaningful patterns in data and provide context, insights, and analytics

* Business Intelligence & Domo/PBI Dashboard Development

* Proactive engagement with Labor Relations and People Business Partners to track and improve employee-related metrics to measure the return on HC investments

* Compile presentations to effectively synthesize and communicate results and implications of data findings and trends

* Establish standardized KPIs and governance framework for Labor Relations

* Develop predictive models to proactively address engagement concerns

* Drive digital transformation initiatives within the Labor Relations Team

Priorities will include:

* Assist with the build of a predictive health engine

* Model and measure the effectiveness of interventions with post-intervention trend analysis

* Construct site health index

* Executive reporting and visualization

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

* 5+ years of experience analyzing business, financial, People Team or clinical data to provide insights

* 4+ years of experience performing exploratory data analysis, data profiling, and feature engineering on large structured and unstructured datasets

* 4+ years of experience with relational databases, data structures and data languages such as SQL

* 4+ years of experience with programming/statistical languages such as Python, R, Scala, and others

* 2+ years of experience in dashboard development (Tableau, Domo, Power BI)

* Advanced knowledge of statistics, machine learning, programming, data modeling and advanced mathematics

* Experience influencing and communicating both verbally/written with technical and non-technical high-level leaders

* Demonstrated ability to turn raw data sets into themes and action plans

Preferred Qualifications

* Experience in leveraging Generative AI technologies to design and develop solutions

* Experience…