Data Scientist - Product
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København K
Opportunity
Maersk is building its own world-class Experimentation Platform and is expanding personalisation & recommendation across its channels.
We are the data & ML (Machine Learning) team behind this mission and are looking for a Data Scientist to join us.
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 (e.g., A/B tests) 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 experiment design, experiment analysis, causal inference, and machine learning approaches to address customer problems
· 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:
· Master’s degree in Mathematics, Statistics, Data Science / ML or a closely related field
· Strong proficiency in applied DS/ML using Python or R
· Solid understanding of experiment design & analysis and causality
· Strong business intuition and ability to easily empathise with customers
· Excellent communication skills (English) and ability to compellingly present analytics topics to non-technical audiences
· Hands-on experience with applied DS / ML and data / results visualisation and communication
· Self-starter and problem-solver with ability to effectively navigate in a highly ambiguous environment
· A plus: Experience in SQL
· A plus: Experience in building real-world, impactful ML products
· A plus: Experience in developing advanced recommendation engines (e.g., using supervised and unsupervised approaches, online & batch training)
· A plus: Strong expertise in experiment design
· A plus: Strong expertise in developing causal inference solutions
· A plus: Familiarity with production-level DS/ML, software engineering practises and product management
About the company
A.P. Moller - Maersk is the globally leading integrated container logistics company and responsible for moving 20% of global trade every year. Our over 80,000 employees work across 130 countries to connect and simplify global trade, and help our customers grow and thrive. We are right now driving an industry-defining technology transformation that is enabling us to deliver value to our customers with best-in-class technology, data & data products. This is a unique opportunity to further grow your career within data and technology in an iconic company with Danish roots and global reach.
What we offer
This position offers a great opportunity to advance your career in the exciting intersection of DS/ML and personalisation/recommendation/experimentation. You will be at the centre of product innovation, culture change, and of transforming the logistics industry by tackling the highly complex challenge of business-to-business personalisation and scaled experimentation, and to create real impact for our internal and external customers.
There has never been a more exciting time to be part of the data & technology world within the shipping & logistics industry
Our team is embracing a flexible hybrid work setup, where we like to work from home, and equally much like to meet weekly together in the office. If you are Copenhagen-based, you will be able to choose between two centrally located and modern Maersk offices with a breath-taking lunch buffet.
As a Data Scientist with Maersk, you will be able to join various communities of data practitioners across the company, where we develop the foundations of our future business.
Data Scientist
Information og data
Denne ledige stilling har jobtypen "Finansmedarbejder", og befinder sig i kategorien "Økonomi og jura".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 13.6.2022, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Finansmedarbejder
- København K
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