Job Summary
3 - 6 years
• Software Engineer,
Machine Supervisor, Data Processing,
Data Entry Machine Operator,
• Computer Programmer
Last Date to Apply
02 Apr 2021
Data Scientist
Maersk Global Service Centres India Private Limited
Posted on: 01 Feb 2021
Job Description

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 Maersks 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 bachelors degree in computer science or has a masters 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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