Senior Data Scientist

Job Description

Maersk is going through times of unprecedented change. As we aspire to secure sustainable growth of our businesses, we need to re-think the way we engage with our customers and partners.If you are passionate about working in an entrepreneurial and ever-changing environment, developing new products that engage and provide an enhanced customer experience keep reading.Show More We offerJoining Maersk will embark you on a great journey with career development in a global organization. As a Scrum Master you will gain broad business knowledge of the company s activities globally, as well as take part in the transformation of the transport and logistics industry.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 that broaden your knowledge and strengthen your technical and professional foundation.As part of the T&L Application Development team you will be responsible for estimating work effort, planning sprint backlogs, facilitating daily scrums, and conducting sprint demo & retrospective meetings throughout all agile sprint phases for the project. Must understand and execute on backlog items by working closely with the Product Owner and the distributed project team, making sure deliverables reflect requirements, on-time with production quality. Play a key role in resolving business and team conflicts. Must be actively involved in technical matters thus finding gaps and ensuring Product Owner involvement in business decisions and description of the business flow.Show More Key responsibilitiesLeading the efforts for data science application development and its productionization. Works with junior team members and cross functional team Takes responsibility for requirements gathering, solution design, development, and developing a production level data science solution Develop implementation guidelines, quality control procedures, and documentation for projects. Ensures adherence of the best practices in the project Guide team members on project work and take responsibility for the analytics deliverables Conduct proof-of-concept work to test new data science algorithms or features Work with data science leadership to grow data science expertise and nurture the talent by conducting internal training Responsible for driving some of the key initiatives for the growth of Data Science team Show More We are looking forMust have skills/experience: 2-3 years of experience of leading machine learning or forecasting projects to meet the customers business requirement along with NLP 4-7 years of project experience using machine learning techniques (like Decision Trees, Gradient Boosting, Random Forest, and Neural Networks) or forecasting techniques (ESM, ARIMA, ARIMAX, UCM) Advance level skills in Python and SQL to work on large scale data (billions of rows) Expertise and ability to train team members in Advanced Python for Data Science, Machine Learning / Forecasting, and SQL Exceptional communication skills. Demonstrated ability to communicate complex concepts to business audiences Ability to work effectively in global teams and product owners Ability to work comfortably in ambiguous situations and ability to optimize team s resources to achieve business goals Strong on values like delighting customers, taking initiative, being trustworthy, and working collaboratively Good to have skills/Experience: Experience of operationalization of the machine learning or forecasting models in cloud or on-premises platform Experience of using git or other code version control platform Knowledge of GCP / Azure / AWS and machine learning offerings on these platforms Experience of using TensorFlow and Keras are desired. Education: Bachelor s or master s degree in a quantitative field (e.g., MSc in Statistics and Operations Research, M Tech in Industrial Engineering, Applied Math/Statistics, Computer Science) Certification programs in Machine Learning or Artificial Intelligence from reputed institutes Show More,

Keyskills :
machine learninganalyticssqlalgorithmsoracle dbascrum masterdata sciencedecision treesquality controlsolution designbusiness knowledgeoperations researchindustrial engineeringrequirements gathering