“Morningstar” Openings for Data Scientist Engineer

Job Title : Data Scientist Engineer

Qualification : B.Tech

Experience : 3 Years

Location : Navi Mumbai, India

Company Profile :

Morningstar, Inc. is a leading provider of independent investment insights in North America, Europe, Australia, and Asia. The Company offers an extensive line of products and services for individual investors, financial advisors, asset managers and owners, retirement plan providers and sponsors, and institutional investors in the debt and private capital markets. Morningstar provides data and research insights on a wide range of investment offerings, including managed investment products, publicly
listed companies, private capital markets, debt securities, and realtime global market data. Morningstar also offers investment management services through its investment advisory subsidiaries, with approximately $246 billion in assets under advisement and management as of Dec. 31, 2022. The Company operates through wholly- or majority-owned subsidiaries in 32 countries.

Responsibilities/Skills :

• Design & develop AI/ML solutions to be flexible, scalable & extensible.
• Build solutions that incorporates cognitive techniques such as statistics, machine leaning, NLP, deep learning, transfer learning
• Hands-on in python libraries like pandas, numpy, scikit-learn, scipy, nltk, tensorflow, keras, pytorch etc.
• Excellent at feature engineering, Exploratory data analysis and data visualization
• Keen to work on cloud-based ML solutions using AWS,GCP,Azure,IBM Watson etc.
• Innovative, studies research papers and implement them. Curious to learn latest algorithms and concept and use them professionally
• Develop areas of continuous and automated deployment
• Introduce and follow good development practices, innovative frameworks and technology solutions that help business move faster
• Be a Role Model to the team to collaborate on good object-oriented designs & domain modeling.
• 3-5 years of experience in data science, machine learning field
• An advanced degree in engineering, computer science, statistics or related field is preferred
• Expertise with data science and python, machine learning, NLP and deep learning is essential
• Experience with back-end XML, relational databases (e.g. MS SQL, Postgres)
• Experience developing and deploying solutions using services in the Amazon AWS ecosystem (Serverless Lambda, EC2, RDS)
• Experience of publishing the research paper in renowned forums

Skills:

• BS degree in engineering, computer science, statistics, mathematics or equivalent practical experience
• Strong Understanding of Linux/Unix administration, scripting languages (e.g., Python, Bash), AWS cloud services (EC2, S3, ECS, Athena, RDS, Glue, VPC etc.) and DevOps tools (Jenkins, Docker, Terraform, etc.).
• Knowledge of various stages of software development and deployment, including coding, testing, and release.
• Ability to troubleshoot and resolve issues in a timely and efficient manner.
• Good communication skills to work effectively within a team and collaborate with other departments.
• Intellectual curiosity for the world of quantitative research
• Fluent in both oral and written English.

Join us on Telegram For More Updates: https://t.me/nareshit