Data Scientist - NorthEast Region (MA, NY, NJ)
Supply Chain/Logistics Operations
Last application date: 6/5/2022
Want to help the largest global shipping line derive business value through the adoption of Artificial Intelligence (AI) and Machine Learning (ML). Excited by using massive amounts of disparate data to develop ML models? Eager to learn to apply ML to a diverse array of enterprise use cases? Thrilled to be a part of a diverse team that revolutionize the supply chain and logistics world?
At Maersk, we are applying predictive technology to large volumes of data and against a wide spectrum of problems. We are working with internal and external customer to find solutions to data and real-life problems and create solutions that enable the world's largest customers to improve their supply chains.
This is both an internal-facing as well as a customer-facing role and you will be required to travel to client locations and work on potential solutions.
Maersk is looking for a Data Scientist to join our North America Product Management team in NorthEast Region (MA, NY, NJ)
We offer you an exciting global career at the forefront of world trade.
Working with the best people in a global team culture with future growth opportunities in an industry that has a significant impact on the world economy.
We're proud of our people who define our company's industry leadership, global team culture and customer-centric focus every day.
When you join our team you join a truly diverse, global organization in a fast-moving, values-based, work environment where you can grow on the job, create and shape our digital solutions, tap into industry-leading talent development initiatives, enjoy working with your colleagues and broaden your world view through our international job postings. We offer competitive compensation and benefits for full-time employees including health, dental and vision insurance, a 401k savings plan with an employer match and paid time-off - and our parental leave policy is recognized world-wide as one of the best in the industry.
Every company, every country wants access to a competitive shipping, logistics and port system - and our people have created one company that offers one, easy-to-use solution to all their shipping needs.
Maersk is unique
Maersk is uniquely positioned to play a significant role in global trade, creating opportunities that help countries, companies and people succeed. Our vision is simple: Maersk is the global integrator of container logistics, connecting and simplifying our customers' global supply chains. We do this through the global scale of Maersk, the world's largest shipping line; our Logistics and Services expertise that help customers manage their global supply chains; and through our port operator, APM Terminals, one of the largest container terminal operators in the world with the most strategic locations to serve global supply chains.
At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job - we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
Join us and play an important role on our team lifting global trade every day!
Major responsibilities include:
The ideal candidate will be responsible for the following:
\*Assist internal and external customers by being able to deliver a ML project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models with concept-drift monitoring and retraining to deliver business impact to the organization
\*Support Proof of Concept (PoC) teams with data analysis, build-up of data lake and create tools to enable data democratization.
\*Selecting features, building and optimizing classifiers using machine learning techniques
\*Data mining using state-of-the-art methods
\*Extending company's data with third party sources of information when needed
\*Enhancing data collection procedures to include information that is relevant for building analytic systems
\*Processing, cleansing, and verifying the integrity of data used for analysis
\*Doing ad-hoc analysis and presenting results in a clear manner
\*Creating automated anomaly detection systems and constant tracking of its performance
\*Building correlation between data and actual events
\*Identify potential work improvement thru data analysis
\*Building tools to automate data collection
\*Searching through large data sets for usable information
\*Collecting data through means such as analyzing business results or by setting up and managing new studies
\*Transferring data into a new format to make it more appropriate for analysis
We are looking for
Education and Qualifications:
\*Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
\*Master's degree of PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) is an advantage.
\*Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
\*4+ years' experience in predictive modeling, data science, and analysis
\*Experience in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
\*Experience writing code in Python, R, Scala, Java, C++ with documentation for reproducibility
\*Experience handling terabyte size datasets, diving into data to discover hidden patterns, using data visualization tools, writing SQL, and working with GPUs to develop models
\*Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
\*Ability to develop strategic, baselined, data modeling processes; ability to accurately determine cause-and-effect relationships.
\*Deep technical skills, consulting experience, and business savvy to interface with all levels and disciplines within our customers' organization
\*Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Last application date: 6/5/2022
You must be authorized to work for any employer in the US.
Local candidates only; no relocation or sponsorship assistance is provided.
A.P. Moller - Maersk is an integrated container logistics company working to connect and simplify its customer's supply chains. As the global leader in shipping services, the company operates in 130 countries and employs roughly 70,000 people. With simple end-to-end offering of products and digital services, seamless customer engagement and a superior end-to-end delivery network, Maersk enables its customers to trade and grow by transporting goods anywhere - all over the world. For more information: https://www.maersk.com All the way.
For further information, please contact: email@example.com
Internal contact: firstname.lastname@example.org
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, sexual orientation or any other characteristic protected by law.
Maersk Line, the global containerized division of the Maersk Group, is dedicated to delivering the highest level of customer-focused and reliable ocean transportation services. Our vision, built from a strong heritage of uprightness, constant care, and innovation, has guided our business operations since the first Maersk Line vessel sailed in 1904. By remaining committed to that vision we have expanded our business to become the world’s largest ocean carrier. And we are consistently recognized as the most reliable container shipping company.