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60361205 Director of Digital Science - Florham Park, NJ

Job Information

ID :
#37284118
# of Positions :
1
Minimum Education Level :
Bachelor's Degree
Experience Required :
5+ years
Duration :
Full Time Regular
Shift :
Unspecified
Hours per week:
40

Job Description

 

Director of Data Science

USA

Carteret - B94

Local

Supply Chain/Logistics Operations

Last application date: 27/2/2022

This position is located in Jersey City, NJ

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.

We offer

As a company, we promote a culture of honesty and integrity, and value the trust it allows us to build with customers and employees alike. Our focus on our people is what sets us apart and keeps our customers coming back to work with us!
If you are seeking to be a part of a family, this is the place for you!

Performance Team and Damco Distribution, now part of the Maersk global organization under a combined Warehousing & Distribution division, offer third party logistics services to over 500 customers. Encompassing almost 15 million square feet of warehousing capacity throughout the country and a large transportation segment capturing a variety of services, we have key supply chain hubs in the Los Angeles and New Jersey/New York areas, and other facilities along the Western & Eastern coasts along with multiple locations in the Midwest. Delivering significant sales and profitability growth, we will drive the Inland Logistics and Services business for the combined US business units for Maersk.

We are proud to be an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.

Key responsibilities

\*Manage a team of individuals that form the data team: data scientists, data analysts, data architects and machine learning scientists.
\*Set the data strategy for the department, chose platform, technologies and ensure projects are run on time.
Projects will include the below (but not limited to):
\*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

\*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 managing teams and large projects and bring those to a timely conclusion.
\*Experience with ML fields, e.g., natural language processing, computer vision, statistical learning theory
\*6+ years of industry 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: 27/2/2022

You must be authorized to work for any employer in the US.

Local candidates only; no relocation assistance is provided.

All qualified applicants will receive consideration for employment without regard to race, color, religion and religious creed, age, sex, gender, sexual orientation, gender identity, gender expression, national origin, ancestry, physical and mental disability, medical condition, genetic information, p regnancy, military and veteran status, citizenship status, marital status, or any other basis protected by law.

https://www.dol.gov/ofccp/pdf/pay-transp\_%20English\_formattedESQA508c.pdf

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.

Additional info

Ref.: MA-291433

For further information, please contact: damien.fagan@maersk.com
0021

Internal contact: damien.fagan@maersk.com
0021

JobLevel: 5

Carreer Stream:

Management

50662097

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.

Company Information

Name :
Description :
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.
Type :
Direct Employer
Address :
180 Park Avenue
Florham Park, NJ 07932

Application Information

Online :
Job Posting Entered On :
1/8/2022
Job Posting Expires On :
4/8/2022