Data Scientist

**Total Experience
3 - 5 years overall experience

**Education qualification
B.E/B. Tech and Post Graduate Certificate in AI/ML preferred

**Description
We are looking for Marketing Data Science professional, who will help design and implement advanced analytics predictive models using cutting edge technologies like Machine Learning and Deep Learning.

**Skills
Mandate:

- Past working experience as a Data Scientist in marketing Subject Area
- Experience in cleansing and transforming data on Hadoop/Spark/MySQL, SQL based databases.
- Strong knowledge of Data Science and Statistics
- Strong Experience in Machine Learning, Natural Language Processing, Text mining, NLTK, NLP, time series forecasting, Deep Learning and Computer vision
- Hands on experience in ML/NLP/DL/NN
- Strong working knowledge on Python, Spark ML, Pandas, Numpy, matplotlib, seaborn, sklearn, Grid Search Hyper parameter tuning, RandomForest, Decission trees, XGBoost, Ensemble methods, Bagging and Boosting methods ,Keras/Tensorflow
- Should have developed models on sentiment scoring, Churn, Recharge, Next best offer /Action, Customer Life time Value, RFM, Universal Control Groups, Geofencing Analytics, Product Cannibalisation Modelling.
- Experience in delivering end to end data science project
- Experience on SQL required
- Experience on visualisation tools like QlikSense/D3.js
- Excellent problem solving and analytical skills combined with a strong business and technical acumen
- Ability to guide and mentor less experienced human resources
- Collaborative team player
- Excellent verbal and written communication and Presentation skills

Preferred
- Should be certified on Data Science and Machine Learning certifications from Industry recognised bodies.

**Roles and Responsibilities
- Developing new Machine Learning models in Telecom Analytics
- Creating predictive models using AI/ML/NN
- Evaluate different algorithmic approaches to solve various machine learning and prediction use cases
- Develop visualization solution on top of Data Science Results
- Implement data pipeline process for data scientists to consume data in secure fashion
- Deploy the analytics and predictive models in production environment
- Monitor deployed models, maintain accuracy
- Provide analytics based insights to help marketing team optimize marketing spends
- Front ending with Customers on data science requirements and status reporting
- Implement Customer projects and Internal Product Roadmap projects on Data Science.

**Total Experience
3 - 5 years overall experience

**Education qualification
B.E/B. Tech and Post Graduate Certificate in AI/ML preferred

**Description
We are looking for Marketing Data Science professional, who will help design and implement advanced analytics predictive models using cutting edge technologies like Machine Learning and Deep Learning.

**Skills
Mandate:

- Past working experience as a Data Scientist in marketing Subject Area
- Experience in cleansing and transforming data on Hadoop/Spark/MySQL, SQL based databases.
- Strong knowledge of Data Science and Statistics
- Strong Experience in Machine Learning, Natural Language Processing, Text mining, NLTK, NLP, time series forecasting, Deep Learning and Computer vision
- Hands on experience in ML/NLP/DL/NN
- Strong working knowledge on Python, Spark ML, Pandas, Numpy, matplotlib, seaborn, sklearn, Grid Search Hyper parameter tuning, RandomForest, Decission trees, XGBoost, Ensemble methods, Bagging and Boosting methods ,Keras/Tensorflow
- Should have developed models on sentiment scoring, Churn, Recharge, Next best offer /Action, Customer Life time Value, RFM, Universal Control Groups, Geofencing Analytics, Product Cannibalisation Modelling.
- Experience in delivering end to end data science project
- Experience on SQL required
- Experience on visualisation tools like QlikSense/D3.js
- Excellent problem solving and analytical skills combined with a strong business and technical acumen
- Ability to guide and mentor less experienced human resources
- Collaborative team player
- Excellent verbal and written communication and Presentation skills

Preferred
- Should be certified on Data Science and Machine Learning certifications from Industry recognised bodies.

**Roles and Responsibilities
- Developing new Machine Learning models in Telecom Analytics
- Creating predictive models using AI/ML/NN
- Evaluate different algorithmic approaches to solve various machine learning and prediction use cases
- Develop visualization solution on top of Data Science Results
- Implement data pipeline process for data scientists to consume data in secure fashion
- Deploy the analytics and predictive models in production environment
- Monitor deployed models, maintain accuracy
- Provide analytics based insights to help marketing team optimize marketing spends
- Front ending with Customers on data science requirements and status reporting
- Implement Customer projects and Internal Product Roadmap projects on Data