Data Scientist

Key Skills

Data science techniques, Deep Learning, Effective communication skills, Generative AI, Large Language Models - LLMs, Machine learning techniques, Python Programming, SPARK Programming, SQL

Job Description

The team who are we:

We are an ambitious team with the shared passion to use data, data science (DS), machine learning (ML) and engineering excellence to make a difference for our customers.

We are a team, not a collection of individuals. We value our diverse backgrounds, our different personalities and strengths & weaknesses. We value trust and passionate debates. We challenge each other and hold each other accountable. We uphold a caring feedback culture to help each other grow, professionally and personally.

We are now seeking a new team member who is excited about using experiments at scale and ML-driven personalisation to create a seamless experience for our users, helping them find the products and content they didn’t even know they were looking for, and drive engagement and business value.

Our new member who are you

• You are driven by curiosity and are passionate about partnering with a diverse range of business and tech colleagues to deeply understand their customers, uncover new opportunities, advise and support them in design, execution and analysis of experiments, or to develop ML solutions for ML-driven personalisation (e.g., supervised or unsupervised) that drive substantial customer and business impact.
• You will use your expertise in experiment design, data science, causal inference and machine learning to stimulate data-driven innovation. This is an incredibly exciting role with high impact.
• You are, like us, a team player who cares about your team members, about growing professionally and personally, about helping your team mates grow, and about having fun together.

About the role:

As Data Scientist in this role, your responsibilities include.

• Close collaboration with diverse group of stakeholders (e.g., business product owners, sales, marketing, design, product management, engineering) to deeply understand their customers' needs and challenges and translate them into data, analytics, data science or ML solutions
• Development and application of forecasting, causal inference, and machine learning approaches to address customer problems and customer demand
• Making sure that all ML standards are followed and collaborate with Platform for MLOps practice.
• Development of proof of concepts to assess impact & feasibility of opportunities and solutions
• Cultivation of data-driven decision-making, applied to business problems as well as to evaluating and tracking model performance and product success
• Communication of results and insights to business stakeholders across levels, and in our tech demos
• Collaboration with other data science teams to ensure we share learnings, enable each other and promote cohesiveness in a large, complex environment.

Skills & experience we are looking for:

• Minimum of 3 years of hands-on experience in Data Science, Machine Learning, and Deep Learning, with a specific focus on Natural Language Processing (NLP).
• At least 1 year of experience in developing Machine Learning products tailored for forecasting and optimization purposes.
• Bachelor's or Master’s degree in Mathematics, Statistics, Data Science, Machine Learning, or a closely related field.
• Proficient in practical Data Science and Machine Learning applications using Python, SQL and Spark.
• Thorough understanding of forecasting methodologies, algorithms, and causality principles.
• Demonstrated ability to grasp business requirements effectively and empathize with customer needs.
• Excellent communication skills with the capability to articulate complex analytical concepts to non-technical stakeholders.
• Hands-on experience in implementing Data Science and Machine Learning models as well as visualizing and communicating data and results effectively.
• Proactive self-starter and adept problem-solver capable of thriving in ambiguous environments.
• Below are Plus:
• Experience in building real-world, impactful ML products
• Familiarity with best practices in production-level Data Science and Machine Learning, including software engineering principles and product management.
• Knowledge of deep learning techniques applicable to forecasting and recommendation systems.
• Generative AI & LLMs Knowledge

Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.