At
New York Blood Center, one of the most comprehensive blood centers in the world, our focus is on cultivating excellence by merging cutting-edge innovation with diligent customer service, groundbreaking research, and comprehensive program and service development. Join us as we work towards meeting and exceeding the growing needs of our diverse communities, further our lifesaving strategic goals in a rapidly changing environment, and expand our impact on the local, national, and global communities we serve.
The Data Scientist will work within the Enterprise Analytics and Data Science team to become an expert at understanding all NYBCe data domains and participate in delivering high-quality, high-velocity data products. This includes developing, training, and monitoring high-fidelity models and analyses to optimize products and processes as well as test the effectiveness of different courses of action.
Responsibilities include
- Identify opportunities to improve reporting and analytics processes and identify opportunities to automate tasks
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Partner with the data engineering and analytics team to define measurement approaches, quantify and evaluate success, develop KPIs, and guide tracking efforts for ongoing measurement and reporting.
- Tackle complex and ambiguous analysis projects provide clarity and leverage tools to answer complicated business questions.
- Use a variety of modeling techniques to increase and optimize donor, customer, and employee experiences, revenue generation, ad targeting, and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- Ensure data quality and data hygiene across enterprise reporting platforms focusing on consistent, timely, and accurate data. Run regular tests and discrepancy checks to ensure continuity, accuracy, and quality of data.
- Develop reporting, visualizations, dashboards, and analytics products for all departments across the enterprise.
- Identify opportunities to improve reporting and analytics processes and identify opportunities to automate tasks
To qualify, you must have a Bachelors Degree in Computer Science or a related area
Related Experience
5+ years of industry experience in data science, business analytics, statistics, business intelligence, or comparable data analysis role, including data warehousing and business intelligence tools, techniques, and technology, including at least 3+ years of hands-on experience with Python and or R for statistical data analysis is
required.
Experience with Tableau, R/R-Shiny, or Python libraries (Matplotlib, Seaborn, ggplot…) to create impactful reports, visualizations, and interactive dashboards is r
equired.
Preferred Experience
Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or another quantitative field.
3-5 years of experience manipulating data sets and building statistical models.
Knowledge
Experience using statistical computer languages (R, Python, SLQ, etc.) to extract, manipulate and draw insights from large data sets.
Knowledge in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
Experience analyzing data from 3rd party providers Google Analytics, Facebook, etc.
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.).
For applicants who will perform this position in New York City or Westchester County, the proposed annual salary is $110,000.00/year to 130,000.00/year. For applicants who will perform this position outside of New York City or Westchester County, salary will reflect local market rates and be commensurate with the applicant’s skills, job-related knowledge, and experience.
