Data Scientist III - Clinical Data Science - Digital and Technology Partners

Data Scientist III - Clinical Data Science - Digital and Technology Partners, Req#3019422

As a Data Scientist 3, play a pivotal role in shaping the direction of machine learning projects. they will lead a team of talented data scientists, guiding them in designing, developing, and deploying complex machine learning applications. Their expertise will be crucial in solving challenging development and operational problems and contributing to the team growth.

1. Lead and mentor a team of data scientists and machine learning engineers, fostering a collaborative and innovative work environment
2. Drive the design, development, and optimization of advanced machine learning applications to address complex business challenges
3. Lead data mining and management procedures 
4. Ensure data quality and integrity in product development and deployment
5. Interpret and analyze data problems
6. Plan, prioritize, and manage ML projects
7. lead machine learning product development and implementation
8. Monitor performance of data-driven products
9. Design and lead proof of concepts (POCs) to investigate new technologies in machine learning and AI
10. Stay at the forefront of machine learning advancements and lead the implementation of novel algorithms and techniques
11. Play a key role in defining the machine learning strategy for the organization and align it with operational goals
12. Engage in different initiatives and collaborate with stakeholders to understand and address operational needs through machine learning solutions
13. Effectively communicates statistical and technical ideas and results to non-technical stakeholders in written and verbal form to ensure decision points and their impact are clearly understood by all audiences
14. Develop and maintain project work plans, including critical tasks, milestones, timelines, interdependencies, and contingencies.  Tracks and reports progress.  Keeps stakeholders apprised of project status and implications for completion. 
15. Prepare clear, well-organized project-specific documentation, including, at a minimum, analytic methods used, key decision points and caveats, with sufficient detail to support comprehension and replication. 
16. Mentor other analysts on how to a) determine appropriate statistical analysis methods, b) leverage appropriate programing languages and tools, and c) generate and interpret statistical analysis outputs.
17. Share development and process knowledge with other analysts in order to assure redundancy and continuously builds a core of analytical strength within the organization.
18. Adheres to corporate standards for performance metrics, data collection, data integrity, query design, and reporting format to ensure high quality, meaningful analytic output.
19. Works closely with IT on the ongoing improvement of Mount Sinai’s integrated data warehouse, driven by strategic and business needs, and designed to ensure data and reporting consistency throughout the organization.
20. Demonstrates advanced level proficiency with the principles and methodologies of process improvement. Applies these in the execution of responsibilities in support of a process focused approach.
21. Other duties as assigned.

• Master's or Ph.D. degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Information Technology, Mathematics, Physics) or equivalent practical experience
• 7+ years of work experience in software development, machine Learning, and data management
• 5+ years of hands-on experience in analytic system and machine learning applications 
• 3+ years of hands-on experience in data-driven product design and project planning
• 4+ Publications or presentations in recognized journals or conferences
• Mentoring 4+ junior data scientists or data science interns
• Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques
• Solid experience in ML fields, such as natural language processing, computer vision, and statistical learning theory
• Proficiency in articulating technical concepts to diverse audiences, both technical and non-technical, and delivering data-driven presentations.
• Solid experience with cloud computing platforms (e.g., AWS, Azure, GCP)
• Deep knowledge and hands-on experience in agile project management
• Exceptional problem-solving skills and the ability to communicate technical concepts effectively

Compensation Statement

The Mount Sinai Health System (MSHS) provides a salary range to comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $132,000.00 - $198,065.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

, 271 - DTP Clinical Data Science - MSH, Mount Sinai Hospital

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:  

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

At Mount Sinai, our leaders strive to learn, empower others, and embrace change to further advance equity and improve the well-being of staff, patients, and the organization.  We expect our leaders to embrace anti-racism, create a collaborative and respectful environment, and constructively disrupt the status quo to improve the system and enhance care for our patients. We work hard to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to advance professionally.

 Explore more about this opportunity and how you can help us write a new chapter in our history!

“About the Mount Sinai Health System:

Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 43,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time — discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients’ medical and emotional needs at the center of all treatment. The Health System includes approximately 7,400 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics and top 20 in Cardiology/Heart Surgery, Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report’s “Best Children’s Hospitals” ranks Mount Sinai Kravis Children's Hospital among the country’s best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 14 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek’s “The World’s Best Smart Hospitals” ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.

The Mount Sinai Health System is an equal opportunity employer. We comply with applicable Federal civil rights laws and does not discriminate, exclude, or treat people differently on the basis of race, color, national origin, age, religion, disability, sex, sexual orientation, gender identity, or gender expression. We are passionately committed to addressing racism and its effects on our faculty, staff, students, trainees, patients, visitors, and the communities we serve. Our goal is for Mount Sinai to become an anti-racist health care and learning institution that intentionally addresses structural racism.”

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