Responsibilities

·       We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products.

·       Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

·       Selecting features, building and optimizing classifiers/regression models using machine learning techniques

·       Data mining using state-of-the-art methods

·       Exposure to LLMs, vector databases, or RAG pipelines

·       Extending company’s data with third party sources of information when needed

·       Enhancing data collection procedures to include information that is relevant for building analytic systems

·       Processing, cleansing, and verifying the integrity of data used for analysis

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

 

 

·       Technical Skill

 

Expertise in following Technical areas is MUST.

 

·       Knowledge of programing languages: Python and SQL

·       Machine learning: Scikit-learn, numpy, pandas, XgBoost…

·       Deep Learning: TensorFlow, Keras, Pytorch, RNN, LSTM, CNN…

·       Time series forecasting: AR, ARIMA, SARIMA, ES, Prophet, LSTM

·       MLOps: MLflow, Model deployment

·       Knowledge on Big Data Technologies: PySpark, Airflow

·       Strong knowledge on ETL Process and Technique

·       Deployment Knowledge: CI/CD Tool Chain

·       Strong knowledge on SQL DB and NoSQL DB

 

 

Expertise in following Technical areas is Good to have.

 

·       Strong knowledge on  Azure (Data Bricks, Data Factory, ADLS )

·       Knowledge in various Deep leaning frameworks like Tensorflow , Keras and PyTorch .

·       Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce.

 

 

Other Skill

 

·       Extremely good Analytical and Problem Solving Skill

·       In-depth understanding of SDLC life Cycle

·       Experience in Agile Product Development methodology

·       Experience in Converting business requirements in business documents

·       Good communication skills     

·       Experience in the field of Automotive Sales and Aftersales, Oil and Gas Industry, Banking and Finance, Retail (FMCG) and e-Commerce is good to have.

 

 

Qualification

·       Education:                                                                                                                                                                                     B. E / B. Tech (Preferred – Computer Science / Information Technology )

·       M.C.A

·       M.B.A – From Reputed collage

·       M.Tech – From reputed collage.

 

Years of Experience 3-6 years

 Minimum 4 Years hands on experience on Data Scientist role.