Posted:2 weeks ago| Platform:
Work from Office
Full Time
Job Summary : We are looking for an experienced and results-driven Data Scientist to join our advanced analytics team. The ideal candidate will bring deep technical expertise in machine learning, statistical modeling, and software engineering to build scalable data science solutions that drive real business impact. Key Responsibilities: *Development experience in one or more object-oriented programming languages (e.g. Python, Java). *Strong software engineering and ML system design experience. *Experience with ML system designs like KNN model, NLP algorithms. *Advanced SQL knowledge. *Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Role Requirements and Qualifications: *Minimum 5+ years of experience in designing, planning, prototyping, productionizing, maintaining and documenting reliable and scalable data science products in complex environments. Knowledge of experimental design and analysis. *Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. *Can build scalable, re-usable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. *Experience working closely with other data scientists, data engineers software engineers, data managers and business partners. *Can carry out data analyses to yield actionable business insights. Why Join Us: *Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors. *Continuous investment in employee growth and professional development with a strong focus on up & re-skilling. *Competitive compensation & benefits, ESOPs and international assignments. *Supportive environment with healthy work-life balance and a focus on employee well-being. *Open culture that values diverse perspectives, encourages transparent communication and rewards contributions. How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
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