Data Scientist at Maersk

Short Description:

The Data Scientist position at A.P. Moller - Maersk, based in Pune, India, requires an individual with a robust data science skill set to transform complex business problems into actionable insights. Responsibilities include translating challenges into mathematical models, gathering and analyzing diverse data sources, and developing solutions throughout the product life cycle. The role involves effective communication with stakeholders, ensuring solution quality, and demonstrating leadership in implementing data-driven solutions. The ideal candidate should possess strong analytical thinking, a results-driven approach, and a commitment to continuous learning in the dynamic field of container logistics. A.P. Moller - Maersk offers a dynamic and inclusive work culture that values innovation and professional growth.

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Job Description: Data Scientist

Position: Data Scientist

Location: Pune, India

Employment Type: Full-time

Posted On: Posted Today

Job Requisition ID: R90427

About Us

A.P. Moller - Maersk is a leading integrated container logistics company dedicated to simplifying and connecting global supply chains. Operating in 130 countries with a workforce of approximately 100,000, Maersk leverages its position as the global leader in shipping services. With a comprehensive end-to-end suite of products and digital services, Maersk facilitates seamless customer engagement and boasts a superior worldwide delivery network. The company empowers its customers to trade and flourish by efficiently transporting goods across the globe.

About the Role

The Data Scientist at A.P. Moller - Maersk is a key contributor, adept at transforming raw data into actionable insights through the application of statistical methodologies, AI, and Machine Learning. This role is pivotal in facilitating informed decision-making processes within the organization. The Data Scientist collaborates closely with stakeholders, translating complex business problems into mathematical models that can be effectively addressed using data and analytics.

Responsibilities:

• Problem Translation:

  • Collaborate with stakeholders to translate business challenges into well-defined mathematical problems suitable for data-driven solutions.

• Data Collection and Analysis:

  • Gather, analyze, combine, and aggregate data from diverse sources necessary to solve the identified problems.

• Solution Development:

  • Develop effective solutions at any stage of the product life cycle, demonstrating proficiency in problem formulation, exploration, development, testing, deployment, and monitoring.

• Model Life Cycle Management:

  • Understand and manage the various aspects of the end-to-end model life cycle, ensuring a comprehensive approach from inception to deployment and beyond.

• Stakeholder Collaboration:

  • Work closely with stakeholders throughout the solution development process, seeking input and ensuring alignment with organizational goals.

• Communication:

  • Effectively communicate the possibilities and limitations of proposed solutions to both technical and non-technical audiences.

• Quality Assurance:

  • Take ownership of the solution's quality, including prediction accuracy, and implement measures to enhance and maintain it.

• Implementation Leadership:

  • Demonstrate leadership and expertise to drive the implementation of data-driven solutions, leveraging a solid skill set and rich experience.

Qualifications and Skills:

• Data Science Proficiency:

  • Possess a strong data science skill set, with expertise in applying statistical techniques, AI, and Machine Learning models.

• Analytical Thinking:

  • Demonstrate a deep analytical mindset, capable of approaching complex problems systematically and extracting meaningful insights.

• Experience:

  • Showcase a robust experience in implementing solutions at various stages of the product life cycle.

• Communication Skills:

  • Excellent communication skills, with the ability to convey complex technical concepts in a clear and concise manner to diverse audiences.

• Collaboration:

  • Proven ability to collaborate effectively with cross-functional teams and stakeholders to drive successful outcomes.

• Continuous Learning:

  • Display a commitment to continuous learning, staying abreast of industry trends and emerging technologies in data science.

• Results-Driven:

  • Exhibit a results-driven approach, with a focus on delivering high-quality, impactful solutions that align with organizational objectives.

Company Culture:

A.P. Moller - Maersk fosters a dynamic and inclusive work environment that values innovation, collaboration, and professional growth. We believe in empowering our employees to contribute to the success of the organization while providing opportunities for personal and career development.

If you are a passionate Data Scientist seeking a challenging and rewarding opportunity to make a significant impact in the field of container logistics, we invite you to apply for this exciting role at A.P. Moller - Maersk.

Join us in connecting and simplifying the world's supply chains!

Please click here to apply.

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