Dir-Data Scientist

Experience Level: Experienced Hire

Categories:

• Engineering & Technology

Location(s):

• Remote - United States, US
• Remote - United States, US
• Remote - United States, US
• Remote - United States, US
• 7 World Trade Center, 250 Greenwich Street, New York, New York, 10007, US
• 7575 Gateway Blvd., Suite 300, Newark, California, 94560, US
• Remote - United States, US
• Remote - United States, US
• Remote - United States, US
• Remote - United States, US
• Remote - United States, US

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

The Compliance & 3rd-Party Risk unit at Moody's leverages data-driven insights and cutting-edge technologies to help businesses deliver prudent risk management in the KYC, Supply Chain, and Trade Credit space. We are currently seeking an experienced Director of Data Science to join our dynamic and motivated Data & Analytics team. The ideal candidate will have a strong foundation in data science concepts such as statistics and machine learning; as well as a passion for working with business stakeholders to identify problems, implement solutions, and assess their impact.

You will be in a leadership role leading, nurturing, and introducing best practices to a team of data scientists. You will also interface with senior leaders and a wide variety of team members to plan and execute on the organization's data science strategy. In your day-to-day you will manage team contributions to a diverse project portfolio. This involves helping ensure quality of work, project scoping, hands-on coding, delivering/measuring impact, and stakeholder management. You will influence and work closely in a cross-functional team of product management, software engineering and other data professionals.

The Work:

• Lead and nurture a team of data scientists, ensuring their effectiveness in delivering solutions and long-term career growth.

• Develop and maintain a strong degree of hands-on knowledge across the entire existing data science portfolio, while being able to initiate and launch brand new initiatives.

• Contribute to a portfolio of projects supporting the development and maintenance of strategic AI/ML models, ensuring they support business objectives and deliver enhanced customer experience.

• Facilitate collaboration between data scientists, engineers, and cross-functional teams to streamline data access and model deployment for machine learning and experimentation needs.

• Lead project squads leveraging the design, plan, build development cycle, promoting and ensuring adherence to best practices in project management and fostering a culture of continuous improvement and collaboration.

• Be an advocate for AI/ML based data consumption patterns and educate the business on prudent and meaningful areas to deploy and utilize data science resources, ensuring they meet both organizational needs and regulatory compliance.

• Work with business leadership to identify, scope, obtain support, and execute on a variety of data science solutions, leveraging the right tool from a toolbox of simple analysis, traditional ML, through to Generative AI and beyond.

• Strategize the use of cloud platforms like Databricks, AWS, and GCP to enhance model lifecycle management, MLOps practices, statistical rigor, and deliver highly robust AI Products within a data mesh.

• Stay current and promote adoption of industry trends, emerging technologies, and regulatory changes to ensure the company remains at the forefront of data engineering best practices in the compliance space.

Qualifications

• 10+ years of experience with at least 5+ years of solid hands-on work in data science, statistics, machine learning, or similar.

• 1+ year of experience in people management or technical leadership

• Bachelor's degree or higher in Statistics, Computer Science, Engineering, or a related field.

• Strong leadership, communication and management skills with the ability to independently influence organizations, people and projects.

• Expertise in explaining complex technical work to non-technical stakeholders, with a strong foundation in coding.

• Proven ability to identify, scope, and measure work which delivers meaningful business impact.

• Proven ability to manage, influence, and deliver on projects and/or ability to coach and nurture individual contributors.

For US-based roles only: the anticipated hiring base salary range for this position is$184,100.00-$266,900.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion, national origin, citizen status, marital status, physical or mental disability, military or veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Moody’s Corporation is a Government contractor subject to the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, as amended by the Jobs for Veterans Act of 2002, 38 U.S.C. 4212 (VEVRAA), which requires Government contractors to take affirmative action to employ and advance in employment: (1) disabled veterans; (2) recently separated veterans; (3) active duty wartime or campaign badge veterans; and (4) Armed Forces service medal veterans.

VEVRAA Federal Contractor

We Request Priority Protected Veteran and Disabled Referrals for all of our locations

Please contact Donna Hutchinson, Assistant Vice President, Talent Attraction for any questions regarding this listing.