Data Scientist

About the role and the skill set A Data Scientist at Sahaj should help solve client problems. They should be conversant with end-to-end data science model life cycle, metrics, and deployment challenges. The activities for a Data Scientist involves conceptualizing, formulating, coding and deploying the solutions to the problem. They should be conversant with interacting with the clients and be able to make sense of ambiguous problem statements. Our client problems can range in a variety of domains. Some examples, but not limited to, are building a RAG leveraging open source or commercial LLMs, building a Multiagent system, leveraging Small Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas, and be conversant with deep learning and conventional machine learning methods. They should have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Give yourself an opportunity to Experience a culture of trust, respect and transparency powered by holacracy. An environment that will allow you to hone your craft. Collaborate with multi-disciplinary teams to solve some real business problems. Solve problems across different domains. Level-up on difficult problems. Find your balance between work and life’s ups and downs with unlimited leave when you really need it. Not be exploited, as everyone knows everyone's salary. Radical pay transparency. Own what you build. When Sahaj grows in impact and value, you'll have a share in that upside.