Data Scientist - R
Data Scientist - R
Posted on :
04-07-2025
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1 Vacancy
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Job Description
Data Scientist
Primary Skills
- Classification (Decision Trees SVM) Distance (Hamming Distance Euclidean Distance Manhattan Distance) Forecasting (Exponential Smoothing ARIMA ARIMAX) Great Expectation Evidently AI Hypothesis Testing ML Frameworks (TensorFlow PyTorch Sci-Kit Learn CNTK Keras MXNet) Probabilistic Graph Models Python/PySpark R/ R Studio Regression (Linear Logistic) SAS/SPSS Statistical analysis and computing Tools(KubeFlow BentoML) T-Test Z-Test
Specialization
- Data Science Advanced: Data Specialist
Job requirements
- Key Responsibilities: Develop and implement time series forecasting models to predict future trends demand and performance metrics. Leverage statistical methods machine learning and deep learning techniques for accurate forecasting. Work with large datasets from multiple sources and clean process and transform data for modeling purposes. Analyze historical data patterns and trends to identify key drivers of future outcomes. Perform data validation anomaly detection and ensure data integrity. Collaborate with business and technical teams to understand forecasting needs and ensure models align with business objectives. Communicate findings insights and predictions to both technical and non-technical stakeholders. Continuously optimize and improve forecasting models by experimenting with new algorithms tools and techniques. Use forecasting models to drive business decisions related to supply chain demand planning inventory and more. Document processes models and code to ensure scalability and reproducibility. Key Requirements: Education: Bachelors or Masters degree in Data Science Statistics Mathematics Computer Science Engineering or a related field. Experience: 5-6 years of experience in data science with a focus on time series forecasting. Proficiency in Python or R for data analysis and modeling. Strong knowledge of time series forecasting techniques such as ARIMA SARIMA ETS Prophet or LSTM. Experience with machine learning algorithms and statistical analysis. Familiarity with tools like SQL Pandas NumPy Scikit-learn TensorFlow or PyTorch. Experience working with large datasets and data pipelines in a cloud-based environment (AWS Azure or GCP). Strong problem-solving skills and the ability to interpret complex data. Excellent communication and presentation skills to translate complex data findings into actionable insights for business teams.
Employment Type
Full-Time
Key Skills
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