Data scientist
Data scientist
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Data Scientist:
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 MLdriven personalization to create a seamless experience for our users helping them find the products and content they didnt even know they were looking for and drive engagement and business value.
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 MLdriven personalization to create a seamless experience for our users helping them find the products and content they didnt even know they were looking for and drive engagement and business value.
- 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 and analysis of experiments or to develop ML solutions for MLdriven personalization (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 datadriven 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 datadriven decisionmaking 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:
- At least 4 years of experience in data science machine learning and analytics
- At least 1 years of experience in building ML products for forecasting and optimization
- Bachelors/Masters degree in Mathematics Statistics Data Science / ML or a closely related field
- Strong proficiency in applied DS/ML using Python and SQL
- Solid understanding of Forecasting process and algorithms and causality
- Strong business intuition and ability to easily empathize with customers
- Excellent communication skills (English) and ability to compellingly present analytics topics to nontechnical audiences
- Handson experience with applied DS / ML and data / results visualization and communication
- Selfstarter and problemsolver with ability to effectively navigate in a highly ambiguous environment
- A plus: Experience in building realworld impactful ML products
- A plus: Familiarity with productionlevel DS/ML software engineering practices and product management.
- A plus: Familiarity with deep learning techniques for forecasting and recommendations.
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.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing .
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
