Senior Data Scientist

2 weeks ago


Delhi, Delhi, India Railofy Full time
Overview
Railofy is revolutionizing the Indian Railway experience by leveraging machine learning to address pressing issues such as waitlisted tickets and subpar food quality. Our young team of technologists has made significant breakthroughs in this field, and we're looking for a skilled Senior Data Scientist to join us.

Salary
An estimated salary range of ₹1200,000 - ₹1800,000 per annum, commensurate with experience.

Job Description
The ideal candidate will lead all data-related processes from collection to deployment, managing infrastructure and staying up-to-date with the latest developments in big data. As a Machine Learning Engineer - Rail Transportation Systems, you'll work on proprietary data sets building classical machine learning models & recommendation systems.

Responsibilities
1. Develop expertise in the domain of rail transportation systems.
2. Manage available resources to meet deadlines.
3. Explore and visualize data to gain insights, identifying differences that could affect model performance.
4. Verify data quality through cleaning and ensure it via acquisition process if needed.
5. Define validation strategies and preprocess or feature engineer datasets.
6. Create data augmentation pipelines and train models, tuning hyperparameters.
7. Deploy models to production and monitor systems.

Qualifications
1. Proficiency in Python and libraries like scikit-learn, pandas, numPy, matplotlib, seaborn, and keras/tensorflow.
2. Experience with PostgreSQL, ElasticSearch, Kibana, Redis, and Big Data technologies.
3. Cloud computing skills on AWS using EC2, S3, ECS, Lambda, and RDS.
4. Expertise in visualizing and manipulating big datasets.
5. Ability to select hardware for ML model requirements at scale.
6. Computer Science or IT Engineering background with solid understanding of data structures and algorithms.
7. 5-10 years of data science experience.
8. Passion for coding, striving for clean and structured code with time and space complexities in mind.
9. Motivation to join an early-stage startup beyond compensation.

Benefits
We offer a dynamic work environment, opportunities for growth, and competitive compensation.

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