Applied AI/ML Data Scientist, Associate

Cerberus Capital Management; New York (NY); On-site; USD 140,000 - 185,000; Full time

Job summary

Join a forward-thinking firm as an Applied AI/ML Associate in the Data and AI team, where you'll leverage cutting-edge technology and analytics to drive impactful transformations across diverse business objectives. This role offers the opportunity to design and implement innovative solutions, collaborate with cross-functional teams, and contribute to due diligence analyses for future investments. With a focus on delivering rapid, scalable results, you'll be at the forefront of the firm's technological advancements, shaping the future of data-driven decision-making. If you're passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.

Benefits

Medical insurance

Vision insurance

401(k)

Paid paternity leave

Paid maternity leave

Child care support

Tuition assistance

Disability insurance

Qualifications

• 4+ years of hands-on experience delivering Data and AI solutions.
• Solid knowledge of statistics, machine learning, and AI/ML models.
• Ability to communicate ideas and solutions clearly.

Responsibilities

• Build and deliver Data and AI projects as an individual contributor.
• Help design solutions using a rigorous hypothesis-based approach.
• Synthesize analytical findings for consumption by senior executives.

Skills

Python

Machine Learning

Statistics

NLP

SQL

Problem Solving

Data Analysis

Education

University degree in STEM field

Advanced degree

Tools

Azure

AWS

Power BI

GIT

Azure DevOps

JIRA

Job description

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 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:

• University degree in STEM field or equivalent and advanced degree.
• 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, causal inference, 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

The base salary for this position is expected to be between $140,000.00 and $185,000.00. 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.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Consulting

• Industries

  Venture Capital and Private Equity Principals

Referrals increase your chances of interviewing at Cerberus Capital Management by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid paternity leave

Paid maternity leave

Child care support

Tuition assistance

Disability insurance

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