Data scientist

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.