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Senior Data Scientist
Hikma PharmaceuticalsData Scientist developing machine learning models for financial forecasting and analytics at Hikma Pharmaceuticals. Collaborating with finance teams and utilizing data from various sources.
Tech Stack
Tools & technologiesAzureERPETLNumpyPandasPySparkPythonPyTorchScikit-LearnSQLTableauTensorflow
About the role
Key responsibilities & impact- Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics
- Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics
- Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions
- Design and optimize data pipelines to enable ML model training, validation, and deployment
- Utilize LLM, NLP, time-series analysis, and deep learning to extract insights from structured and unstructured data
Requirements
What you’ll need- Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field
- At least 4-7 years’ experience in data science and machine learning
- Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch)
- Experience with Databricks and Azure Databricks
- Hands-on experience with SQL and working with relational databases
- Knowledge of big data processing frameworks such as PySpark
- Expertise in ETL/ELT processes
- Experience with data visualization tools such as Power BI, Tableau
- Proficiency in English, both written and verbal
Benefits
Comp & perks- Health insurance
- Professional development opportunities
- Flexible work arrangements
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningPythonPandasNumPyScikit-learnTensorFlowPyTorchSQLPySparkData Visualization
Soft Skills
CollaborationCommunication