Data Scientist

3 weeks ago


Delhi NCRDelhiGurgaonGurugramNoidaFaridabadGreater NoidaGhaziabadUP, India fingertips data intelligence solutions Full time

We are looking for Data Scientist - Predictive Analysis and Classification for Delhi location.

Responsibilities :

Predictive Modelling :

- Develop and implement advanced predictive models using machine learning algorithms.

- Apply statistical analysis and feature engineering to optimize model performance.

- Collaborate with cross-functional teams to translate business requirements into predictive solutions.

Classification Algorithms :

- Design and implement classification algorithms for various use cases like anomaly detection and risk assessment.

- Evaluate and fine-tune existing models for enhanced accuracy and efficiency.

Data Exploration and Pre-processing :

- Conduct thorough exploratory data analysis to understand data patterns.

- Implement effective data pre-processing techniques to ensure data quality.

Feature Selection and Engineering :

- Identify relevant features and conduct feature engineering to enhance model performance.

- Utilize domain knowledge to extract meaningful insights from diverse datasets.

Model Evaluation and Validation:

- Implement robust model evaluation methodologies like cross-validation.

- Ensure models meet performance metrics and are validated against real-world scenarios.

Collaboration and Communication :

- Collaborate with data engineers, domain experts, and stakeholders to integrate predictive solutions.

- Communicate complex findings to non-technical stakeholders effectively.

Continuous Learning and Innovation :

- Stay updated with industry trends and advancements in predictive analytics.

- Drive innovation by exploring state-of-the-art techniques and methodologies.

Project Management :

- Lead end-to-end data science projects, managing timelines and ensuring successful outcomes.

Qualifications :

- Extensive knowledge in Computer Science, Statistics, or related fields.

- Proven experience in predictive modelling and classification.

- Proficiency in Python or R, and experience with machine learning frameworks and libraries.

- Strong understanding of statistical analysis, feature engineering, and data pre- processing.

- Excellent problem-solving and communication skills.

- Experience with big data technologies and cloud platforms is a plus.

(ref:hirist.tech)
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