Senior Staff Data Scientist

Lifesprk
Lifesprk

Job Overview

Lifesprkrsquos product and engineering team is growing! We are having great success building custom solutions for our teammates in order to bring to light the first ever Life Experience Alternative Delivery System (LEADS). Our focus, and our passion, is Lifecare, not just healthcare. Come join us and be part of building something truly meaningful from the ground up with a diverse team of committed, humble, awesome people. All fully distributed from anywhere in the country! Lifesprk, headquartered in Minneapolis (with our head of engineering in Boulder Colorado), has been sparking lives for 15 years and it is time to take our ldquoWhole Person Senior Carerdquo model to a greater and greater reach. And to do that, we need you to come and build the ldquobest in classrdquo platform for whole person health. As our most senior data scientist you will provider leadership across our data science and analytics efforts. With your expertise we will create predictive insights to support LEADS. In this new role, you will be laying the foundations of how we unlock the insights hidden within all our data. You will help to define our strategies around data governance, security, analysis and AIML. You will bring your passion for how data can transform lives. This hands-on role will require the development of solid processes around data acquisition, analysis and life cycle management. Have your favorite toolset? We would love to hear about how you have done this in the past. This role requires excellent communication skills, you will be our master storyteller as you identify new business questions, develop analytical methods to answer those questions and conduct experiments to validate our assumptions. All while being hyper focused on quality outcomes for our members. Come use your superpowers for good and join us in Sparking Lives. How you will spend your days Building a collaborative and service-oriented data and analytics discipline that empowers subject matter experts with data and tools throughout the organization. Delivering and supporting the delivery of retroactive analysis in order to provide deeper understanding of the LEADS initiatives. Designing the system architecture for the data and analytics environment to ensure Data Quality System stability and extensibility Scalability Maintainability Collaborating with data engineering team to develop a comprehensive data architecture. Building and testing predictive models that increase LEADS efficacy Presenting compelling reports that support the business with powerful stories and statistically sound analysis Leveling up all those around you in how to think about data and analysis What yoursquoll bring to the team MS in Statistics, Mathematics, Computer Science, Economics, or equivalent. Proven experience as a technical leader 10+ years professional experience 5+ years applied data sciencedata modeling experience. Ability to analyze large amounts of structured and unstructured data and determine suitability for modeling. Broad understanding and demonstrated history of applying various methods to bring tremendous value to people. Strong modeling foundation ndash hands-on expertise with data mining and statistical modeling techniques such as clustering, classification, regression, tree-based methods, neural nets, support vector machines, anomaly detection. Expertise in modern advanced analytical tools and programming languages such as Python or R. Efficient in SQL, PIG, Hive, SparkSQL, etc. Experience developing complex ETL processes to support analyst needs A deep understanding of Data Governance and Lifecycle management Experience in a regulated environment a plus and Health Care a big plus Proven track record with reports, presentations and other story telling methodologies A commitment to testing and quality. Come teach us a thing or two about your approach toward quality. A bias toward action. You love to push things forward and find creative ways to work around blockers. A positive and energetic attitude Deep experience as a remote contributor. We are fully distributed throughout the US come help us make it better. Willingness and ability for travel and off-hours support – we need to get together every once in a while, and see each other’s smiling faces, letrsquos meet in your hometown!Senior Staff Data Scientist 1

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