Senior Data Scientist

Company:
Location: Pune, Maharashtra

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Maersk is a $30bn organization with 100,000 people that move 20% of the world’s trade, and it is the largest shipping and logistics company in the world. We are transforming our company into a global integrator of container logistics.
We are offering you a unique opportunity to be part of that journey and to contribute by creating solutions for an industry leading organization.
This is an opportunity to join Maersk Group’s Technology team and help drive visible, recognizable change as a Data Engineer for this globally respected, industry leading brand.
At A.P. Moller - Maersk we focus on the individual’s development and the right candidate will have broad possibilities to further develop competencies in an environment characterized by change and continuous progress.
As an organization with global presence, joining Maersk is a wonderful and exciting opportunity for you to work with people of diverse talents & background. We offer a fast paced, challenging and truly international atmosphere with activities and teams spread around the globe in Copenhagen, London, Charlotte, and India. The environment is dynamic with focus on high performance, results, and respect for our employees. There will be the possibility of continuous professional and personal development and for expanding a professional and social network.
As a company, we are committed to growing our people. We will provide you with opportunities that broaden your knowledge and strengthen your professional & technical skills.


We offer

Joining Maersk GDA Technology team, will embark you on a great journey with career development in a global organisation. As a Senior member on the Software Engineering team you will gain broad business knowledge of the company’s activities globally, as well as understand how data products support the transport and logistics business.

You will work and communicate across geographical and cultural borders that will enable you to build a strong professional network. We will provide you with opportunities to broaden your knowledge and strengthen your technical and professional foundation.

We aim to be a world-class professional organisation that delivers business value through automation, standardisation and innovation. We believe in empowerment where each of us takes ownership and responsibility for developing and implementing new ways of working.


Key responsibilities

As a Data Scientist, you will embed directly into product delivery teams, exerting direction on development and technical execution. The products we build directly impact our business, and with strong support from your fellow team members, together you will drive digital transformation at one of the largest companies in the world.

You should be comfortable in working across wide range of data technologies and platforms (Python, PySpark, Hadoop, MapReduce, Spark, SQL and NoSQL, job orchestration tools, cloud tech, programming in java + scala), and understand the challenges in working with large and complex data ecosystems. You will be working directly with product managers, data engineers and analysts to ship products, and you will need to be as excited about reaching across into adjacent domains as they are about curating and parsing the business meaning of data

Your responsibilities will be to:



Represent the data science function within the context of your product team, testing hypothesis, and building models in collaboration with the data engineers and drive communication around our analytical needs




Provide contributions to the technological foundation upon which Maersk’s next generation of digital products will be built




Deliver work within a high-impact team while fostering a collaborative and inclusive environment

We are looking for

More than 3 years of relevant data science experience, ideally in an analytics intensive environment.

You possess a bachelor’s degree in computer science or has a master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, (or equivalent experience). The ideal person will possess an advanced degree with a focus on distributed systems or cloud technologies or Data Science.

Strong problem-solving skills with an emphasis on product development.

Experience working with and creating data architectures

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Have data science experience and worked on Machine Learning Projects, Time Series Forecasting Models and conducting driver analyses.

You have experience leveraging PaaS & IaaS technologies in cloud platforms (AWS, GCP, Azure). Excellent track record of delivery through data technologies (SQL, Hadoop), and languages like Python, R, Ruby, Java, Scala.

Knowledge on Optimization Models and Deep Learning, Neural Networks (good to have)

Experience using web services: Redshift, S3, Spark, DigitalOcean, etc (good to have)

Experience with distributed data/computing tools:

Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc (good to have)

Fluent proficiency in both written and oral English

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