Applied AI/ML Data Scientist

About the role

As an Applied AI/ML Vice President in our Data and AI team, you will contribute to the firm’s objectives by delivering rapid and scalable solutions that unlock value for Cerberus desks, portfolio companies, or other businesses/investments. You’ll do this by designing, implementing, and Data and AI systems for a broad range of business objectives. You may also participate in due diligence analyses of future investments.

Responsibilities:

• Build and deliver Data and AI projects as an individual contributor and in teams
• Delivery focused: Help design solutions using a rigorous hypothesis-based approach, partner with cross-functional teams, and execute development and implementation with a focus on value
• Agile and pragmatic: Rapidly and iteratively deliver results in high pressured projects with the skill to pivot quickly as needed relative to business needs and value
• Contemporary and innovative approach: Develop novel solutions using modern platforms (e.g., Cloud based platforms like Azure, AWS), languages/technologies (e.g., Python, Spark, SQL), and tools (e.g., Power BI), with an ability to build IP into reusable software
• Structured approach: Bring order to disparate requirements with high tolerance for ambiguity, very strong problem solving ability, and excellent stakeholder engagement skills

• Synthesize analytical findings for consumption by senior business executives
• Communicator: Break down complex structures and problems into succinct components for a range of clients and colleagues at all levels of seniority
• Storytelling: Be a storyteller capable of delivering practical insights in a compelling manner

• Build a reputation as a trusted technologist and voice on Data and AI topics both internally and externally
• Technology polymath: Experience with a wide range of technology and can learn and develop any solutions across the full data science lifecycle and application stack
• Test & Learn mentality: Challenge our current best thinking, test theories, and iterate rapidly
• Creativity: Invent new analyses to solve business problems
• Trusted voice: Establish reputation of delivering on commitments, building trusted relationships with stakeholders
• Subject matter expertise: Develop deep subject matter expertise across techniques, technologies, and industries

Requirements:

• A degree in STEM field or equivalent. Advanced degree preferred but not required.
• 4+ years of hands-on experience delivering Data and AI solutions in a production environment
• Solid knowledge of statistics, machine learning, forecasting and time series analysis, NLP, computer vision, and mathematical optimization.
• Experienced in Python. Ability to build data pipelines and AI/ML models.
• Experienced in SQL. Ability to write efficient and robust queries.
• Experience with additional languages preferred, e.g., C++
• Familiarity with DevOps process for model deployment and unit testing.
• Experience working in cloud environments, especially MS Azure, is a plus.
• Experience of work in collaborative development environment (GIT, Azure DevOps, JIRA).
• Exceptional intellectual curiosity, problem solving, mathematical intuition, and effectiveness in a team.
• Ability to communicate ideas and solutions to stakeholders clearly

About Cerberus Capital Management & Cerberus Technology Solutions

Cerberus Capital Management (CCM) is a private equity firm with partial or full ownership stakes in over 40 companies in a variety of industries. Cerberus Technology Solutions (CTS) is a subsidiary of CCM

focused exclusively on leveraging emerging technology, data, and advanced analytics to drive transformations. Our expert technologists work closely with Cerberus investment and operating professionals across our global businesses and platforms on a variety of operating initiatives targeted at improving systems and generating value from data.

The base salary for this position is expected to be between $130,000 and $190,000. The base salary offered to the chosen candidate will be commensurate with a candidate’s relevant experience and other qualifications for the position, as determined by the Company in its sole discretion. In addition to base salary, this position is eligible for an annual discretionary bonus, which is often a meaningful portion of the compensation package, and a robust benefits package.