Entry Level Data Scientist/Analyst/Engineer

Job Opportunity

We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists.

What You'll Do

As a member of the growing Data Science and Machine Learning (ML) Engineering team in Bain's Advanced Analytics Group, you will:

• Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
• Develop statistical/ML models to be handed over to clients as prototype or production software
• Transform existing prototype code into scalable, production-grade software
• Write, test, deploy and maintain machine learning code across the full software development lifecycle
• Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common ML engineering problems across industries and business functions
• Drive best demonstrated practices in software engineering, and share learnings with team members in SynergisticIT about theoretical and technical developments in ML engineering

About You

• 0-3 years of engineering experience
• Proficient knowledge of Python and SQL
• Proficiency in one or more of R, Java, C++, Scala, Django
• Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
• Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
• Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
• Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods

We also offer optionally skill and technology enhancement programs for candidates who are either missing skills or are lacking industry/client experience with projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

No phone calls please. Shortlisted candidates would be reached out.