Data Scientist
8 hours ago
- Data Analysis and Modelling: Apply statistical and machine learning techniques to analyze complex datasets, identify patterns, and develop predictive models to solve business problems.
- Data Exploration and Preparation: Collect, cleanse, and pre-process data from various sources to ensure its accuracy, completeness, and quality. Collaborate with data engineers to optimize data pipelines and workflows.
- Feature Engineering: Identify and engineer relevant features from structured and unstructured data sources to enhance model performance and accuracy.
- Model Development and Evaluation: Design and develop innovative machine learning algorithms and models. Evaluate model performance using appropriate metrics and fine-tune models for optimal results.
- Streamline business reporting, campaign reporting and key business metric for management consumption
- Communication: Communicate complex analytical concepts and findings to both technical and non-technical stakeholders.
- Guide the other Data Scientists and Trainees in coming up the curve and in complex projects & problem solving
Eligibility Criteria for the Job
- Education Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
- Experience 5-6 years of hands-on experience as a Data Scientist
- Skills & Competencies Proficiency in SAS is must, programming languages such as Python or R.
Job Type: Full-time
Pay: ₹600, ₹2,000,000.00 per year
Benefits:
- Work from home
Application Question(s):
- Do you have working experience in SAS programming for more than 2 years?
Work Location: Remote
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