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Sr. Manager Data Scientist
About Job
The client company is seeking a result-oriented professional with over 12+ years of extensive experience in Artificial Intelligence & Machine Learning, with prior experience in software development. The ideal candidate has worked across diverse domains such as Banking, Brokerage, Insurance, and Industrial sectors. They should possess expertise in developing and implementing supervised and unsupervised Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and statistical analysis to solve complex business challenges. Additionally, they should be a skilled leader recognized for exceptional communication, stakeholder management, and presentation skills, capable of conveying complex technical concepts to diverse audiences and working effectively with cross-functional teams.
Job Description
Key Responsibilities:
- Lead a team of 5 Data Scientists to develop an anomaly and fraud detection system for financial transactions.
- Utilize a mix of Machine Learning algorithms, statistical analysis, graph analysis, and business rules for system development.
- Develop a record linkage system using Tf-Idf to find matching addresses across three sources and return potential matches among 5 million records in less than 20 minutes.
- Design a Graph model using Neo4j to detect anomalies like "dual hatting," garnering appreciation from stakeholders.
- Conceptualize and develop an automated revenue forecasting system for multiple business units using an ensemble of approaches from statistical models (ARIMA, SARIMAX, Prophet), ML models (LightGBM, XGBoost), and Deep Learning (Bidirectional LSTMs using Tensorflow), improving forecast accuracy by 20-30%.
- Design a system to detect defects in HVAC units using sensor data, training multiple autoencoder models using the Pytorch framework for different types of HVAC units.
- Deliver a project on predictive maintenance to forecast possible loss in cooling capacity for HVAC units using Temporal Fusion Transformers (TFTs).
- Perform thorough data analysis to derive actionable insights, interpreting complex data sets, and presenting findings in a clear and concise manner to senior stakeholders.
- Develop predictive models using machine learning algorithms, implement and deploy models into production environments, and identify relevant features for model training, optimizing feature selection.
Job Location:- North India
Salary: Best in Industry
Job Details
- Industry
- Industrial
- Segment
- Aerospace
- Job Level
- Middle Management
- Salary
- ₹ 45,00,000 - ₹ 55,00,000
- Experience
- 12 - 18 (in years)
- State
- Country
- India
- Reporting To
- Company Name
- Operates in aerospace and Defense & Aviation Sector
- Company Size
- 1000+