Principal Data Scientist, (Store No.8 | Health & Wellness)

Key Skills

Data science techniques, Framework, Java Programming, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, R Programming, Scala Programming, Scikit-learn, SPARK Programming, SQL, TensorFlow

Job Description

This is the opportunity to get in early with a stealth health & wellness project currently incubating in Walmart's Store No8. At Store No8, the team will discover and deliver the insights that will power the future of healthcare for our customers, through the unparalleled scale of Walmart’s platform. In this role, you will lead the data science team from initial design to development and production. You will work closely with the core Store No8 team, and our partners within the Walmart Health & Wellness business. 

Top reasons to work with us:

• This is a rare opportunity – you will architect and shape the growth of a stealth health & wellness project from the ground up, ultimately helping Walmart’s millions of customers to live better every day
• Startup energy, Walmart backing - you will move at the speed of a startup without time lost to fundraising and finding customers; you will have clarity of mission from Day One and the full support of our leadership team in this audacious mission
• Access – our affiliation with the Fortune 1 company enables us to access the best and the brightest in the industry, and you will be empowered to form and own those relationships
• Long term vision – we are focused on making a contribution to Health at the scale of Walmart, you will bridge the art of the possible across today’s rapidly evolving healthcare data and informatics landscape, such that Walmart is positioned to drive the consumerization of health

Who will love this job:

• A health Informaticist – you are passionate about working with clinicians and care teams to integrate and apply data science to improve healthcare delivery and outcomes for patients and stakeholders
• A healthcare evangelist – you believe that our healthcare system is at a positive inflection point and building the right solution at scale will unlock the transformative power of the consumer
• A clear communicator – you break down complex concepts and make them easy to understand
• A creator and a problem solver – you identify a problem, envision a solution, take a hands-on approach to build it, and flexibly adapt as you analyze feedback loops
• A strong leader – you know how to motivate your team to do top-notch work and do it by working smartly, while having fun too

About the role:

As Principal Data Scientist Lead, you will own all data science and advanced analytics decisions required to stand up and scale this high priority initiative inside of Store No8. You will help lead a team and develop the roadmap to bring the vision to life. You will coordinate with leaders from Store No8 and Walmart’s Health & Wellness organization to design and build the solution that achieves Walmart’s strategic goals. You will be empowered to build at the speed of a startup with the full support of Walmart’s massive scale and resources.

What you’ll do:

• Leverage your data science expertise to build a source of sustained competitive advantage for Walmart in identifying, integrating, mining, and applying diverse healthcare data
• Uncover insights for clinicians, care givers and patients to optimize their care journey and improve health outcome
• Evaluate strengths and weaknesses of existing and new data sources (e.g., clinical, claims, Rx, synthetic) and develop and appropriate data science strategy to support insight generation from these data sources
• Coach and mentor a team of data scientists to foster a culture of success
• Drive disciplined and transparent decision-making processes to shape informatics approaches and strategies to achieve defined goals
• Act as an internal and external spokesperson for the initiative
• Present complex data science concepts and principles in simple, concise, and clear business terms
• Enable cross-functional learning about about data science concepts and principles as applied to relevant use cases through a program of information sharing and education sessions (e.g. colloquia)
• Collaborate with Health & Wellness team, Global Tech team, product teams, ecosystem partners, and managed contract vendors
• Manage and develop top-tier talent, including recruitment, engagement, and well-being

Experience:

• Health data and biomedical informatics/analytics leadership role, with robust network across healthcare industry stakeholders
• Superb communication and relationship skills, including the ability to work with and present to C-level executives and board members; proven ability to influence strategic decision making
• Deep technical experience leading data science teams combining various forms of health data to uncover new insights and novel data science approaches (e.g., clinical, pharmacy, claims) in broad array of use cases including population health and chronic disease management
• In-depth experience partnering with cross-functional stakeholders to align health data science efforts with regulatory compliance, and business and clinical value
• Expertise with clinical data standards, medical terminologies and vocabularies used in healthcare data and ontologies; recognized as an informatics/ISA expert
• Demonstrated ability to manage full-time and contract teammates, both in-person and remote
• Strong record of delivering data science projects with significant impact
• Experience directing budgets, and resources to achieve maximum value
• Strong track record of delivering large, cross functional projects
• Contribution to external open source projects a plus
• Success in an entrepreneurial environment, ideally within a high growth technology company
• Experience and passion for rapid prototyping and development in a fast-paced environment
• MS or PhD in bioinformatics or equivalent with a strong publication record preferred

A plus if you also have:

• Experience with health care data (claims, EMR) and its regulations.
• Thrives in fast-paced start-up environment, including balancing multiple projects and dealing with ambiguity.
• Contribution to external open-source projects.
• Agile experience with emphasis on rapid prototyping.
• Understanding of container technologies like Kubernetes

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.? 

? 

Benefits & Perks

Beyond competitive pay, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.?

Minimum Qualifications

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics or related field.
• Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
• Option 3: 7 years' experience in an analytics or related field.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)