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26/12 Ishan
Recruitment Manager at IDS HR Solutions

Views:293 Applications:105 Rec. Actions:Recruiter Actions:0

Data Scientist/Senior Data Scientist - Artificial Intelligence/Machine Learning - IT (5-10 yrs)

Bangalore Job Code: 876651

Data Scientist/Senior Data Scientist - AI / ML based Product Company - US MNC


Company Profile:


- Company is a leading Product Development focusing in Health and Fitness domain.

- The Product (SaaS) uses domain knowledge, Machine Learning(ML) to provide AI-based Recommendations and predictions.

Role Overview:

- To help data science team do quick POC, prototyping & integrate ML models in data products.

- One will primarily focus on applying Data Science/Machine Learning/ AI algorithms on various use cases and integrating them in our product.

Responsibilities:

- Apply statistical techniques to find inferences/insights from data Quick POC & prototyping for various data science use cases

- Data preprocessing & cleansing

- Doing ad-hoc analysis and presenting results in a clear manner

- Doing research on various ML topics & use cases

- Building a recommender system

- Building various deep learning models

Skills:

- Excellent understanding of supervised machine learning algorithms like Linear Regression, Logistic Regression, Decision Tree, Random Forest, Gradient Boosted Trees, XGBoost, SVM etc

- Excellent understating of unsupervised machine learning algorithms like K-Means, PCA, SVD, Anomaly Detection

- Strong knowledge of statistics: descriptive stats, T-Test, Anova, Chi-squared, probability distributions

- Knowledge of deep learning techniques like NN, CNN, RNN, LSTM etc.

- Strong knowledge of Recommender system: Content-based, Collaborative Filtering, Matrix factorization

- Experience various ML Frameworks/Libraries like Sklearn, Pandas, Numpy, Tensorflow, Keras etc.

- Strong experience in python programming with OOP concepts

- Strong experience of Git

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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