Senior Data Scientist

Summary

Senior Data Scientist with 5+ years of experience in data-intensive industries. Creates value by translating business objectives into meaningful insights and production-grade AI/ML solutions. Capable of working with complex datasets, including location intelligence and indoor data. Takes end-to-end ownership of projects with a collaborative and positive approach.

Strategic Responsibilities & Impact

Translating strategic objectives into measurable data science outcomes; taking full ownership of model quality and business impact metrics.

Driving end-to-end AI initiatives in close collaboration with Product, Mobile, and Backend teams to deliver data-driven features.

Designing scalable and sustainable analytics solutions compliant with data privacy and regulatory standards.

Core Skills

Python & Data Science Stack: Python, pandas, NumPy, scikit-learn, PyTorch/TensorFlow, XGBoost/LightGBM.

Predictive Modeling & Optimization: Forecasting, classification/regression, clustering/segmentation, optimization-driven decision support.

Recommendation & Personalization Systems: User behavior modeling, implicit/explicit feedback, ranking algorithms.

Experimentation & Measurement: A/B testing, causal/impact analysis, model calibration and drift monitoring.

Data & SQL: Advanced SQL (PostgreSQL/SQL Server), data modeling, ETL/ELT pipelines.

Pragmatic MLOps: Model versioning, lightweight model serving (e.g., FastAPI), essential monitoring and automation.

Geospatial & Location Data: Proficient in spatial analytics and map-matching concepts; experience with modeling indoor signals (in a wayfinding/IPS context) is a strong plus.

Language: English (Upper-Intermediate/Advanced).

Soft Skills: Positive and constructive mindset, strong sense of ownership, team mentorship.

Additional Competencies (Nice-to-Have)

Familiarity with event/stream processing (e.g., Kafka), gRPC, containers & orchestration (Docker/Kubernetes).

Awareness of edge/on-device optimization and mobile integration challenges.

Experience integrating with commercial indoor wayfinding/positioning solutions.