科技職缺
職缺列表
Middle/Senior Data Scientist
Data Scientist at a leading Ukrainian financial institution building end-to-end ML and deep learning solutions on large-scale datasets using Python, SQL, Docker, FastAPI, and AWS/GCP. Owns models from research and experimentation through to production deployment.
Machine Learning Engineer
Build and deploy ML pipelines at Darwill using Databricks, covering training/serving workflows, feature engineering, model monitoring with drift detection, experiment tracking, and A/B testing for marketing models.
Middle AI/ML Engineer (#5128)
Middle AI/ML Engineer building AI-driven solutions within the Palantir Foundry and AIP ecosystem. Day-to-day work centers on developing ML and LLM-based solutions using Python, integrating them into Foundry workflows to support analytics, automation, and decision-making for enterprise use cases.
Ищем Data Scientist / ML Engineer
Builds end-to-end ML and mathematical-optimization solutions with a focus on time-series forecasting and LP/MILP models, using Python, SQL, XGBoost/LightGBM/CatBoost, and tools like Pyomo, OR-Tools, and Gurobi, plus data prep, evaluation, and integration into business processes.
Analyst - Data Scientist
Individual-contributor Data Scientist role at AstraZeneca's Alexion rare-disease division in Bangalore, building and deploying AI/ML and statistical models (XGBoost, survival, MMM, NLP) on Snowflake healthcare data (claims, EMR, lab) to drive commercial analytics, patient targeting, and forecasting.
Manager, Credit Risk Automation, TD Auto Finance (ATH 5028)
Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Risk Management Pay Details: $96,900 - $136,800 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues.…
Lead Data Scientist
Lead a team of data scientists at a B2B technology-intelligence company to drive CRISP-DM initiatives, building propensity and recommendation models using Python, scikit-learn, TensorFlow, XGBoost, and AWS Sagemaker, with SQL and NoSQL data layers including Elasticsearch and Neo4j.
Data Scientist
Data Scientist shipping real-time ML scoring, recommendation, and fraud/risk models in production for an AdTech loyalty platform. Owns A/B testing, data/prediction drift monitoring, and latency optimization using Python, XGBoost/LightGBM, SQL, Docker, and MLflow.
Стажер дата-аналитик
Intern data analyst researching data sources and algorithms, building classical ML models on tabular data, running experiments, and forecasting behavior. Core stack: SQL, Python (pandas, sklearn, xgboost, lightgbm, matplotlib) with Hadoop/Spark as a plus.
Аналитик данных
Data Analyst at a bank subsidiary (Halyk Bank of Kazakhstan) collecting and analyzing data from multiple sources, building reports and dashboards (Superset, Excel), and tuning decision-management systems. Day-to-day work centers on SQL, Python (Pandas/NumPy), ETL/ELT pipelines and BI visualizations for risk and credit processes.
Data Scientist
Build ML solutions in Python (scikit-learn, pandas, XGBoost) focused on anomaly and fraud detection, with feature engineering, Elasticsearch data work, MLOps deployment via Docker/Kubernetes, on hybrid projects in Warsaw at a Polish software services firm (B2B up to 145 PLN/h).
Lead Data Scientist
Lead Data Scientist owning the technical direction of a large-scale entity resolution and linking platform at S&P Global, combining classical ML and GenAI to power intelligent matching across multiple data domains.
Data Scientist
Data Scientist role building and deploying ML models with Python (scikit-learn, pandas, XGBoost) focused on anomaly detection. Day-to-day work covers data preparation, feature engineering, querying Elasticsearch with SQL, and productionizing models via MLOps tooling on Docker, Kubernetes, and Linux.
Data Engineer
Data Engineer at a fitness-tech startup building and maintaining the data warehouse, ETL/ELT pipelines, and ML services (Python, scikit-learn, LightGBM/XGBoost) using PostgreSQL and MongoDB to power product analytics and athlete metrics.