Data Scientist – Hybrid (3 days per week)

About the role

We’re hiring a mid‑to‑senior Machine Learning Engineer / Data Scientist to build and deploy machine learning solutions that drive measurable business impact. You will work across the full ML lifecycle—from problem framing and data exploration to model development, evaluation, deployment, and monitoring—collaborating with client stakeholders and internal delivery teams.

Key responsibilities

• Translate business questions into ML problem statements (classification, regression, forecasting, clustering, recommendation, etc.) and define success metrics and evaluation plans.
• Partner with stakeholders to understand practical constraints such as latency, interpretability, cost, and data availability.
• Extract, join, and analyze data from relational databases and data warehouses using SQL and Python; perform profiling, missingness analysis, leakage checks, and exploratory analysis.
• Build robust feature pipelines (aggregation, encoding, scaling, embeddings) and document assumptions.
• Train and tune supervised models for tabular data (logistic/linear models, tree‑based methods, gradient boosting like XGBoost/LightGBM/CatBoost, neural networks) applying best practices for missing data, categorical encoding, class imbalance, calibration and cross‑validation.
• Develop time‑series models, clustering and segmentation techniques, and apply statistical methods (hypothesis testing, confidence intervals, experiment design) to support inference.

Required profile

• Strong foundation in core data science and applied machine learning.
• Experience working with real‑world, messy data and turning models into production‑ready systems.
• Mid‑to‑senior level expertise with a track record of delivering impact.

Required skills

• Python
• SQL
• scikit‑learn, XGBoost, LightGBM, CatBoost
• Neural networks for structured data
• Time‑series modeling
• Clustering algorithms (k‑means, hierarchical, DBSCAN, Gaussian mixtures)
• Statistical analysis, hypothesis testing, experiment design
• Feature engineering and data pipeline construction

What we offer

• Salary range US$140,000‑170,000 per year.
• Hybrid work model (3 days onsite per week).
• Opportunity to work on enterprise AI transformations across diverse industries.