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Advanced Data Modeling Expert
3 weeks ago
We are seeking a highly skilled and experienced Senior Data Scientist to join our team. This individual will be responsible for analyzing complex data, identifying patterns, and building predictive models using techniques such as linear regression, XGBoost, and neural networks.
The ideal candidate will have a strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing. They will also have hands-on knowledge of programming languages, libraries, and tools such as Python, pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers, PySpark, Dask, Databricks, AWS Sagemaker, Google Vertex AI, Azure ML, Apache Spark, Delta Lake, Airflow, MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib, Git, GitHub, Jupyter, VSCode.
The successful candidate will have a Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field, and 4–6 years of industry experience in data science or machine learning roles.
In this role, you will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. You will collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems. You will interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
This is an exciting opportunity to join a collaborative and high-impact team environment, working with cutting-edge technology and compute resources. You will have access to ongoing learning and research opportunities, flexible working hours, and competitive salary and performance bonuses.
- Job Type: Full-time
- Location: Remote
