Marketing Data Scientist

1 week ago

Bangalore, India A.P. Moller - Maersk Full time

Moller - Maersk is a leading integrated transport and logistics company dedicated to connecting the world and enabling global trade. With a mission to help individuals and businesses grow and thrive, Maersk operates in 130 countries with a workforce of approximately 110,000 employees. The company is committed to innovation and sustainability, delivering value-driven solutions for its customers and society. Bangalore (Hybrid) Experience: - This full-time role as a Data Scientist located in Bengaluru. We are seeking talented and driven Data Scientists to join our growing team. Whether you're early in your career or bring years of experience, we value deep technical expertise and a strong problem-solving mindset. You’ll work on impactful projects involving Classical Machine Learning or Generative AI. Candidates should demonstrate in-depth understanding of model architectures, and while specialization in either Classical ML or Generative AI is expected, a working knowledge of both is required. Develop, evaluate, and deploy ML/AI models for forecasting and predictive analytics. ~ Own end-to-end model lifecycle: from data exploration and feature engineering to deployment and monitoring. ~ Collaborate with product, engineering, and business teams to translate requirements into scalable data science solutions. ~ Stay current with advancements in ML/AI and proactively apply them to solve business problems. ~(Master's or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in Data Science techniques, including predictive modeling and machine learning applications Strong knowledge of Statistics and Data Analytics for interpreting and analyzing key datasets Prior experience as a Data Scientist in a professional setting. Strong expertise in either Classical ML or Generative AI: # Classical ML: Regression, Classification, Ensemble Methods, Time Series Forecasting, etc. # Generative AI: Transformers, Diffusion Models, LLMs, GANs, VAEs, Agentic AI, RAG etc. Solid understanding of underlying architectures and mathematical foundations of ML/AI models. Hands-on experience with forecasting techniques (e.g., Proficiency in Python and ML libraries (e.g., Ability to explain and discuss core concepts across both Classical ML and Generative AI domains Familiarity with at least one cloud platform (AWS, Azure, GCP). Strong programming skills in languages such as Python, R, or similar, are highly desirable Bonus Points for Experience building and deploying large-scale ML/AI applications in production. Cloud-native development experience (e.g., using cloud services for training, deployment, monitoring). Opportunity to work on cutting-edge AI/ML problems with real-world impact. ~ Competitive compensation and flexible work arrangements. ~ Continuous learning and growth opportunities.

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