Senior Data Scientist - Hybrid/Remote

REQUIRED QUALIFICATIONS:

Knowledge of:

• Strong computer skills including experience with Microsoft office software
• Experience writing queries (SQL) and experience with large data sets and complex integrated systems
• Experience using SAS, SAS JMP, R, Python, Uniex or Perl. Understanding of data quality methods, statistical analysis (SAS, R) and predictive modeling preferred.
• Knowledge of programming tool like AWS cloud computing, Docker, Spark, Microsoft Azure ML
• Data science, bioinformatics, machine learning, data mining, operations research, statistical modeling techniques and applications for high volume and complex datasets
• Knowledge of best coding practices
• Understanding of how to operationalize a model

Ability to:

• Explain statistical concepts in easy-to-understand language to colleagues with little to no background in data analysis
• 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
• Manage complex projects with multiple stakeholders
• Perform quality assurance/validation, innovate in application of methodologies, and troubleshoot and reproduce analyses. 
• Demonstrate advanced coding and documentation skills and in-depth knowledge for handling of complex datasets. 
• Code in one or more of R, Python, and Java and learn or utilize others as needed.

Education and/or Experience:

• Bachelor’s Degree in Computer Science, Bioinformatics, Economics, Statistics, Mathematics, Physics, Finance, or other quantitative disciplines. However, upon evaluation, equivalent related experience and/or education may be substituted for degree requirement.
• A minimum of six years professional hands-on experience translating analytics including statistical modeling, data mining, and predictive modeling/forecasting into actionable insights

PREFERED QUALIFICATIONS:

• Master’s degree or higher.
• Experience in biosciences and bioinformatics

Proof of COVID-19 vaccination with acceptable documentation is required for employment. NMDP will consider all requests for medical or religious accommodation.