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As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
Job Responsibility:
Collect, clean, and analyze large datasets to generate insights and recommendations
Develop and implement machine learning models to solve business problems
Maintain ML pipeline and fix production issues in stipulated time
Work on model maintenance and improvise model performance when necessary
Conduct hypothesis testing and statistical analyses to understand data trends
Communicate findings to non-technical stakeholders through reports and visualizations
Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions
Requirements:
Bachelor’s or master’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering
2+ years of experience in working with a product development company as a ML/AI engineer
2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java
Strong hands-on experience in SQL or data manipulation/query language
2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch)
Good knowledge on NLP, transformers, LLM and generative AI
Strong analytical skills and proficiency in statistical analysis and data visualization
Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner
Good Team player and ability to work in cross-functional teams