Senior Data Scientist - Predictive & Optimization Systems

About the Role

We are looking for a Senior Data Scientist to build out predictive, forecasting, and recommendation systems that shape decision-making across our hiring products. You will solve complex, real-world problems involving forecasting, optimization, funnel analytics, and data-driven insights at scale.

This role offers substantial ownership, direct impact on product and end user experience, deep cross-functional collaboration, and the opportunity to influence core capabilities across the platform.

What You’ll Do

Modeling & Forecasting

• Build models that predict applicant volume, funnel conversions, time-to-fill, and cost metrics.
• Develop robust forecasting pipelines using historical, real-time, and contextual data.
• Produce calibrated predictions that remain reliable in dynamic environments.
• Design and implement matching systems using modern techniques including vector embeddings, traditional ML, and LLM-based approaches.

Recommendations & Optimization

• Build recommendation systems to guide spend decisions, pacing, prioritization, and channel mix.
• Build the foundation for matching algorithms for matching applicants with jobs
• Combine ML predictions with rules and constraints to create actionable, practical systems
• Evaluate trade-offs across cost, quality, and speed in multi-objective settings.

Analytics & Product Insight

• Partner with Product and Engineering to define metrics, data inputs, and model interfaces.
• Conduct deep-dive analyses to uncover patterns, bottlenecks, and opportunities.
• Design experiments to validate modeling hypotheses and quantify impact.

Collaboration & Technical Leadership

• Work with Analytics and Data Engineering to ensure strong data foundations.
• Translate complex modeling outputs into clear, actionable insights.
• Contribute to modeling standards, documentation, and best practices.

What We’re Looking For

Required

• 5–8+ years of experience in Data Science / Applied ML
• Expertise in forecasting, regression, classification, and probabilistic modeling
• Experience building decision-support or recommendation systems
• Advanced SQL and Python (Pandas, Scikit-learn, Statsmodels, etc.)
• Ability to evaluate models for accuracy, calibration, and business relevance
• Comfort working with noisy, real-world operational data
• Strong communication skills, with ability to simplify complex concepts
• Experience collaborating in fast-moving, cross-functional environments

Nice to Have

• Experience with marketplace, ads, optimization, recommendation, or resource allocation systems.
• Familiarity with causal inference or uplift modeling.
• Exposure to MLOps tools, model monitoring, and model lifecycle management.
• Experience in HR tech, workforce, or other high-volume operational systems.
• Experience working with LLMs and data-intensive AI applications (retrieval, agents, evaluation, or complex data pipelines).

What Success Looks Like

• You deliver reliable, well-calibrated predictive models that improve decision-making
• You build practical recommendation systems that drive measurable gains
• You uncover insights that meaningfully influence product direction
• You partner effectively with engineering, analytics, and product teams to ship models
• You establish high standards for modeling quality and own your work end to end

Location & Time Zone

• Fully remote (India)
• Must be available for partial overlap with US working hours (~4hrs overlap with US Pacific Time)
• Contract length: 12 months, renewable.

Why Join Us?

• Build advanced intelligence systems in a high-impact, fast-growing industry
• Lead with real ownership and autonomy across end-to-end model development
• Collaborate with experienced and supportive product, engineering, data, and design leaders
• Thrive in a remote-first culture grounded in trust, transparency, and flexibility