Job Title: Senior Data Scientist - Predictive Analysis and Classification- We are seeking an experienced Senior Data Scientist specializing in Predictive Analysis and
- Classification to join our dynamic team. The successful candidate will play a key role in leveraging
- advanced analytics and machine learning techniques to develop predictive models and classification
- algorithms. The primary focus will be on extracting actionable insights from large datasets, driving
- innovation in predictive maintenance, and enhancing overall decision-making processes.
- 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 understand business requirements and translate
them into predictive solutions.
Classification Algorithms:
Design and implement classification algorithms for various use cases, including anomaly
detection, risk assessment, and event prediction.
Evaluate and fine-tune existing classification models for enhanced accuracy and efficiency.
Data Exploration and Pre-processing:
Conduct thorough exploratory data analysis to understand data patterns and characteristics.
Implement effective data pre-processing techniques to handle missing values, outliers, and
ensure data quality.
Feature Selection and Engineering:
Identify relevant features and conduct feature engineering to enhance model
interpretability and performance.
Utilize domain knowledge to extract meaningful insights from diverse datasets.
Model Evaluation and Validation:
Implement robust model evaluation methodologies, including cross-validation and A/B
testing.
Ensure models meet performance metrics and are validated against real-world scenarios.
Collaboration and Communication:
Collaborate with data engineers, domain experts, and business stakeholders to integrate
predictive solutions into operational processes.
Effectively communicate complex findings and technical concepts to non-technical
stakeholders.
Continuous Learning and Innovation:
Stay abreast of industry trends and advancements in predictive analytics and classification.
Drive innovation by exploring and implementing state-of-the-art techniques and
methodologies.
Project Management:
Lead end-to-end data science projects, from problem formulation to deployment.
Manage project timelines, prioritize tasks, and ensure successful delivery of outcomes.
Qualifications:
Extensive knowledge in Computer Science, Statistics, Data Science, or related field.
Proven experience as a Data Scientist with a focus on predictive modelling and classification.
Strong proficiency in programming languages such as Python or R.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries
(scikit-learn, XGBoost).
Expertise in statistical analysis, feature engineering, and data pre-processing.
Solid understanding of classification algorithms, ensemble methods, and deep learning.
Excellent problem-solving and critical-thinking skills.
Effective communication and collaboration skills with cross-functional teams.
Experience with big data technologies and cloud platforms is a plus.
Job Types: Full-time, Permanent
Pay: 1,499,879.42 - 2,053,750.87 per year
Benefits:
Health insurance
Schedule:
Application Question(s):
- Are you comfortable with the Delhi location
Can you join Immediately or within 15 days- What is your current CTC and expectations
Experience:- Data science: 5 years (Preferred)
Python or R: 5 years (Preferred)
- TensorFlow & PyTorch: 5 years (Preferred)
* Predictive analytics: 5 years (Preferred)
Work Location: In person
