Senior Data Scientist - Hybrid, Minnesota

Job Description

POSITION SUMMARY:
NMDP is looking for a Senior Data Scientist to join our Data Science & Insights team.

This role will report to the Sr.

Manager, Data Science & Insights and will be instrumental in supporting the organization to achieve its five-year strategy.

If you have ever desired to be part of a truly mission driven organization - now is the time!

The scope of work for this role will include model creation for various operational processes which is inclusive but not limited to the following: model selection, feature selection, model accuracy and measurement while providing transparency and collaboration with internal partners.

The person in this role will provide input and analytics expertise to teams and leaders in the organization and serve as a leader to help drive adoption and acceptance of analytical approaches.

As a Senior Data Scientist, you will also be expected to mentor and train other data scientists on technical solutions.

This role will have the credibility and technical acumen to influence business stakeholders and peers by providing analytical insight and transparency throughout development.

You'll work directly with various cross functional teams to share insight and provide accessible statistical output.

You'll engage with stakeholders to review analysis and recommend additional data points and analytical techniques to be applied.

ACCOUNTABILITIES:
• Independently identify, analyze, and interpret patterns in our data using the appropriate technique for the situation, ranging from simple data aggregation to state-of-the-art machine learning (ML) methods
• Understand our business processes and data so we can develop custom models that inform business decisions
• Ensure our models are explainable to build confidence in our results and stakeholder trust, leveraging both statistical methods and advancements in explainable ML/AI
• Lead in the development of processes and tools to monitor and analyze model performance and data accuracy
• Collaborate with stakeholders and data partners to define data requirements needed to support the business processes, translate insights, and facilitate decision making
• Act as the source of unbiased data-supported insights to the organization; confidently challenge norms when novel insights are discovered
• Leads the mentorship and supports data scientists
• Leads project subject matter experts in the evaluation of current business processes and identification of current weaknesses or inefficiencies

REQUIRED QUALIFICATIONS:
Knowledge of:
• Proficiency in Python and SQL.
• Experience operationalizing statistical and machine learning models in a production environment.
• Experience writing SQL queries with large datasets and complex, integrated systems.
• Experience in designing and implementing data applications, including deploying them to production environments.
• Expertise in data science, machine learning, data mining, operations research, and...