Senior Data Scientist - Hybrid, Minnesota

NMDP; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

NMDP is seeking a Senior Data Scientist to join the Data Science & Insights team. You will mentor other data scientists, build production-ready models, and translate analytical insights into business impact across cross-functional partners.

You will lead model development, ensure explainability, and help drive adoption of advanced ML/AI techniques to support the organization's five-year strategy. Collaboration and communication with stakeholders are essential in this role.

Qualifications

• Bachelor's degree in a quantitative field and 6+ years hands-on analytics.
• Experience translating analytics into actionable insights.

Responsibilities

• Identify and interpret patterns using ML and statistical methods.
• Develop custom models informing business decisions.
• Ensure models are explainable and trusted by stakeholders.
• Mentor data scientists and lead SMEs across projects.

Skills

Python

SQL

Model deployment

Data applications

Statistics

Coding best practices

Education

Bachelor's degree (quantitative)

Master's degree or higher

Tools

Bash

R

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 statistical modeling techniques, specifically for high-volume and complex datasets.
• Knowledge of best coding practices.

Ability to:

• Choose the right tool from the data science toolkit for the task at hand, ranging from exploratory data analysis (EDA) to automated data pipelines in production
• Prioritize work effort across multiple projects and articulate when a project is reaching the point of diminishing returns
• Get up to speed and continue development on existing data science projects
• Keep up with advancements in ML/AI and incorporate them to improve our processes and ability to generate insights
• Collaborate with other data teams, including Business Intelligence, Data Governance, and Data Engineering
• Display data visually, creating powerful presentations and stories which effectively quantify and justify value created to both analytical and non-analytical audiences
• Lead and speak courageously, challenge ideas and propose alternatives
• Grasp the diversity of our systems and network and the ability to make recommendations and implement solutions
• Strong attention to detail and excellent organizational skills
• Well-developed interpersonal skills dealing with people of different cultures and styles
• Advanced communication skills to include writing and oral abilities to connect with a wide range of people
• Demonstrate excellent analytical, problem solving with a strong customer focus
• Manage multiple assignments simultaneously with minimal direction or supervision
• Work and deliver under tight timeframes

Education and/or Experience:

• Bachelor’s Degree in Computer Science, Economics, Statistics, Mathematics, Physics, Finance, or other quantitative disciplines.
• A minimum of six years professional hands-on experience translating analytics including statistical modeling, data mining, and predictive modeling/forecasting into actionable insights

Preferred Qualifications

• Master’s degree or higher.
• Experiencing troubleshooting and resolving code errors
• Familiarity with bash or similar command line shells
• Familiarity with R