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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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and deploying machine learning models for financial forecasting and anomaly detection, utilizing tools like Python, Databricks, and SQL. Proficient in designing data pipelines and applying advanced analytics techniques such as NLP and time-series analysis.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython ProficiencyDatabricks ExperienceSQL and Relational DatabasesETL/ELT Processes
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Machine LearningPythonPandasNumPyScikit-learnTensorFlowPyTorchSQLPySparkData Visualization
Soft Skills
CollaborationCommunication
Tools & Technologies
Azure DatabricksPower BITableau
Industry Keywords
Data ScienceFinancial ForecastingAnomaly DetectionPredictive AnalyticsBig Data Processing
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