Applied AI/ML Vice President

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.

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:

General

University degree in STEM field or equivalent. PhD preferred.

8+ years of hands-on experience delivering Data and AI solutions in a production environment

Exceptional intellectual curiosity, problem solving, mathematical intuition, and effectiveness in a team.

Ability to communicate ideas and solutions to stakeholders clearly

Programming

Highly proficient with Python, SQL, and Excel

Highly proficient with key Python data science and ML libraries

Able to debug complex errors using standard debugging tools and techniques

Understands basic data structures (e.g., queues, trees, graphs)

Able to perform code optimization, including by means of measuring code complexity for alternative approaches

Writes reusable, general purpose Python libraries which can be reused across projects by the team

Has good intuition for separating interface functions and implementation logic; comments functions appropriately

Writes unit tests, as required

Reviews pull requests; provides feedback and guidance to junior team members for code review

Data

Highly proficient with at least one Relational DB (e.g., MySQL, PostgreSQL, Sql Server, etc.)

Proficient with Data Warehousing solutions (e.g., Redshift, Snowflake, BigQuery)

Familiarity with data modeling; can design intermediate data models

Can write and execute complex SQL queries and Python scripts for data transformation

Can fetch data from a variety of sources (e.g., database, API, web scraping)

Cloud

Proficiency with at least one Cloud platform (e.g., Azure) and knowledge of others

Familiarity with Cloud storage (e.g., Blob)

Familiarity with Cloud services (e.g., Azure functions)

BI

Create advanced visualizations, custom coded in BI tools (PowerBI, Looker, Tableau) or Python (e.g., Streamlit)

Highly proficient with producing informative visualizations of data that address business questions

EDA

Develop and apply repeatable frameworks in data wrangling, quality testing, and visualization tooling

Statistics

Highly proficient with probability concepts (e.g., PDF, CDF, likelihood) and distributions (e.g., normal, binomial, categorical)

Highly proficient with statistical inference techniques (e.g., MLE) and interpreting statistical test results

Familiarity with Frequentist and Bayesian techniques, e.g., bootstrapping for error estimation, MCMC for sampling from a Bayesian posterior distribution; Familiarity with Bayesian Hierarchical Modeling techniques

Machine Learning

Proficient with turning business problems into appropriate modeling designs

Highly proficient with machine learning models, techniques (e.g., classic ML, forecasting, NLP, computer vision, mathematical optimization), and performance evaluation

Proficient exploring and applying “new” methods

Highly proficient with building reproducible model training pipelines, including hyperparameter tuning and model logging/tracking

Deployment

Proficiency with building net new code

Proficient with version control (e.g., Git), containers (e.g., Docker), APIs, and orchestration

Proficient with CICD pipelines

Proficient with deploying APIs to serve model results; familiar with standard Python backend web frameworks (e.g., Flask, Django)

Familiarity with making changes to front-end code using common languages (e.g., HTML, CSS, JavaScript + React)

The base salary for this position is expected to be between $175,000.00 and $225,000.00. 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.