Position: ML Engineer

Location: Bangalore, India

Job Summary:

As a Data Scientist at Maersk Technology Centre, you will be part of a dynamic team working on cutting-edge data-driven solutions for the global logistics and shipping industry. Leveraging your expertise in data science and machine learning, you will play a crucial role in analyzing complex data sets, deriving valuable insights, and developing predictive models to drive business decision-making.

Responsibilities:

Utilize advanced data analytics techniques to extract, process, and analyze large and diverse datasets to identify trends, patterns, and insights.

Develop and implement machine learning models and algorithms to solve business problems, optimize processes, and enhance operational efficiency.

Collaborate with cross-functional teams, including business stakeholders, data engineers, and software developers, to understand requirements and deliver scalable, data-driven solutions.

Design and conduct experiments, A/B testing, and hypothesis testing to validate model performance and improve model accuracy. Explore and adopt new data science technologies, tools, and methodologies to continuously enhance the team's capabilities.

Communicate complex technical concepts and findings to non-technical stakeholders effectively, ensuring that data-driven insights are understood and actionable.

Participate in data governance and ensure data quality, integrity, and security throughout the data science lifecycle.

Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply relevant research findings to real-world projects.

Requirements:

Bachelor's or Master's degree in Computer Science, Statistics, Applied Mathematics, or related fields. A PhD is a plus.

Proven experience (5 to 8 years) in data science, machine learning, and statistical modelling, preferably in the domain of logistics, shipping, or supply chain.

Proficiency in programming languages such as Python, R, or Scala for data manipulation, analysis, and building machine learning models.

Strong knowledge and experience with machine learning libraries and frameworks, such as sci-kit-learn, TensorFlow, or PyTorch.

Experience with big data technologies and tools like Hadoop, Spark, or Hive for processing and analyzing large datasets is desirable.

Demonstrated expertise in data visualization and data storytelling to effectively convey insights to stakeholders.

Solid understanding of data structures, database systems, and data integration techniques.

Excellent problem-solving skills, analytical mindset, and ability to work in a fast-paced and collaborative environment.

Strong communication skills, both written and verbal, to present findings and ideas clearly and persuasively.

Join our team at Maersk Technology Centre and significantly impact the future of global logistics through data-driven innovation. We offer a competitive salary, comprehensive benefits, and a stimulating work environment that fosters personal and professional growth.