Job Specifications
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 Senior Associate 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.
6+ 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)
About the Company
About Cerberus Capital Management, L.P.
Founded in 1992, Cerberus is a global leader in alternative investing with approximately $65 billion in assets across complementary credit, real estate, and private equity strategies. We invest across the capital structure where our integrated investment platforms and proprietary operating capabilities create an edge to improve performance and drive long-term value. Our tenured teams have experience working collaboratively across asset classes, sectors, and geographies to seek strong ...
Know more