Senior Data Scientist – Data Quality

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Native

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Recruitment • B2B

Native is an executive search and talent advisory firm that helps organizations and boards recruit senior leadership, independent directors, and specialist talent across sectors such as industrials, financial services, pharma & life sciences, and consumer and technology industries. Combining data-driven research with deep sector expertise, Native focuses on talent migration, GCC and India board appointments, and critical-to-business hires from its offices in Dubai, Mumbai, Gurgaon and Bangalore. The firm serves corporate clients with a B2B focus, offering bespoke search, market intelligence and advisory services.

51 - 200 employees

Founded 2006

🎯 Recruiter

🤝 B2B

📋 Description

• Own the Data: Command the full lifecycle of data pipelines — ingestion, cleaning, structuring, and analysis of large-scale, noisy, analog signals. • Operationalize AI: Design, train, and deploy ML/AI models (including LLMs, predictive systems, and demand-forecasting models) into production environments. • Execution at Velocity: Move from prototype to deployment with speed, reliability, and measurable accuracy. • Model for Impact: Build systems that optimize quality control performance and decrease latency or deliver intelligence that drives customer growth with operational leverage. • Domain Partnership: Work directly with Engineering, Product, and Commercial teams to ensure models translate into measurable outcomes, not academic outputs. • Evolve the Platform: Advance the intelligence layer that makes the world’s largest commercial channel legible and actionable. Performance is assessed on one axis: the velocity, precision, and scale at which data science converts fragmented analog signals into decisive market intelligence.

🎯 Requirements

• Raw talent: Demonstrated success in building and deploying AI/ML systems that operate in production at scale. • Technical Mastery: Deep fluency in Python or R or SQL, distributed data systems, and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, sktime, vetiver, tidymodels). • Machine Learning Experience: Hands-on experience with predictive modeling, time series and forecasting algorithms, data pipelines and model validations and fine-tuning. LLM integration for real-time inference appreciated. • Operational Rigor: Ability to deliver reliable systems under constraints—limited resources, ambiguous inputs, and high-pressure timelines. • Commercial Awareness: Familiarity with how CPG manufacturers and distributors execute in the market, and how data translates into demand planning, distribution, and retail execution. • Velocity and Precision: Bias toward decisive action, measured by speed of deployment and model accuracy in the field. • Explorer Mindset. Masterfully handles intricate datasets to find opportunities. And expert on detailed Exploratory Data Analysis and descriptive techniques to understand market behavior and unexplored patterns. • Experience with data visualization frameworks appreciated (e.g. Matplotlib, Seaborn, Ggplot2, Echarts, etc.) • Scalable Value Delivery: Build models that drive repeatable outcomes, not bespoke analysis.

🏖️ Benefits

• No Credentialism: Degrees, pedigrees, and credentials are irrelevant. What matters is capability; decisive executors who operationalize AI and deliver intelligence-grade results.