Senior Data Scientist -Hybrid/ Remote

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: (Additional qualifications that may make a person even more effective in the role, but are not required for consideration)

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

BENEFITS:
NMDP offers regular, full-time employees medical, dental, vision, life and disability, accident/critical illness/hospital, well-being, legal, identity theft and pet benefits. Retirement, paid time off/holidays, leave and incentive plans are also offered to eligible employees. Please reference this link for more information: NMDP Benefit Information

NMDP is committed to fostering an environment of transparency and fairness in our compensation practices. To support this commitment, we provide clear and upfront information about the salary range for this position. The anticipated salary range for this role is $104,000-$130,000 annually and will be commensurate with market pay, experience and qualifications.