Data Scientist - Algorithmic Optimization & AI

About Joveo

As the global leader in AI-powered, high-performance recruitment marketing, Joveo is transforming talent attraction and recruitment media buying for the world’s largest employers, staffing firms, RPOs, and media agencies. The Joveo platform enables businesses to attract, source, engage, and hire the best candidates on time and within budget.

Backed by marquee investors like Nexus Ventures Partners, Joveo has been featured in Inc. Magazine’s List of America’s Fastest-Growing Private Companies for three years in a row.

Powering millions of jobs every day, Joveo’s data-driven recruitment marketing platform uses advanced data science and machine learning to dynamically manage and optimize talent sourcing and applications across all online channels while providing real-time insights at every step of the job seeker journey, from click to hire.

For more information about Joveo’s award-winning platform, visit www.joveo.com

About the Role

We are seeking a highly motivated Data Scientist to lead algorithmic improvements and optimization initiatives for our core programmatic advertising products. This is a full-stack data science role where you will own the complete lifecycle from ideation to execution, working closely with product and business stakeholders to drive measurable impact on campaign performance and cost optimization.

Key Responsibilities

Lead algorithmic improvements for programmatic advertising optimization products

Design and develop ML models and optimization algorithms to enhance system performance and decision-making capabilities

Develop performance optimization programs - identify bottlenecks, optimize query performance, model inference latency, and system throughput

Full-stack ownership : Take ideas from vision to implementation - ideation, modeling, deployment, and execution

Work extensively with Snowflake data warehouse - write complex SQL queries, design efficient data pipelines, optimize for scale (20M+ jobs / day)

Work on generative AI and agentic AI projects and initiatives

Collaborate daily with product managers, engineers, and business stakeholders

Required Qualifications

Education & Experience

Master's or PhD in Computer Science, Statistics, Mathematics, Operations Research, Machine Learning, or equivalent quantitative field

4-6 years of hands-on experience as a Data Scientist or ML Engineer

Technical Skills

Core Data Science : Strong background in supervised learning, optimization, time series, reinforcement learning. Experience with ensemble methods, neural networks, deep learning. Proficiency in A / B testing, causal inference, experimental design

Programming : Expert-level proficiency in Python (preferred) or R. Strong SQL skills (complex queries, optimization, large-scale datasets). Experience with Snowflake (strongly preferred)

ML Frameworks : scikit-learn, TensorFlow / PyTorch, pandas, numpy. Experience with Git and MLOps practices

Data Engineering : Experience with Spark / Hadoop, cloud platforms (AWS / Azure / GCP), ETL / ELT processes, real-time data processing

AI / ML : Knowledge of Generative AI and Agentic AI concepts. Experience with LLMs, prompt engineering, or AI agent frameworks (preferred). Understanding of model deployment, monitoring, and lifecycle management

Soft Skills

Ownership mindset - ability to take ideas from vision to implementation independently

Strong problem-solving and analytical thinking

Excellent communication skills - ability to explain technical concepts to non-technical stakeholders

Proven ability to work effectively in cross-functional teams

Business acumen - ability to connect technical solutions to business outcomes

Preferred Qualifications

Experience in advertising technology, programmatic advertising, or media planning

Background in algorithmic trading, optimization, or revenue optimization systems

Experience with real-time systems and low-latency applications

Knowledge of recommendation systems, multi-armed bandits, or reinforcement learning

Experience with ISO 42001 or responsible AI practices

What We Offer

Opportunity to work on cutting-edge algorithmic optimization problems at scale (20M+ jobs / day)

Full ownership of projects from ideation to production deployment

Exposure to generative AI and next-generation AI technologies (agentic AI)

Collaborative environment with direct interaction with product and business teams

Competitive compensation and benefits package.

Application Process

If you are passionate about solving complex algorithmic challenges and working with modern AI technologies, we encourage you to apply.

Please include : Updated resume / CV, brief description of relevant projects, portfolio / GitHub links, and highlight any experience with Snowflake, real-time systems, or advertising technology.

Joveo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.