Data Scientist

CGI•Houston, TX

9d•$109,500 - $138,600•Hybrid

About The Position

We are looking for candidate with the ability to translate a business question into a data science solution. This requires that you have next to your knowledge of machine learning and/or statistics a good grasp of software development. Next to the data science capabilities and experiences you should be able to clearly and effectively present findings to our colleagues in other areas of expertise and business stakeholders. This role is located in Houston, TX. And is a hybrid role with 3 days onsite. The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions. Accountabilities: Developing data science solutions to business challenges. Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL. Integrating models into production on a weekly or even daily basis Work closely with the customer and the Product Owner day-to-day Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities. Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience Learning new engineering practices, technologies and continuously improving our Agile practices Special Challenges: o Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets o Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe

Requirements

Experience on data science projects.
Broad experience and knowledge in Statistics, Machine Learning and data engineering.
Awareness of issues in statistics and dependence on data quality
A practical approach to problem solving and attention to detail.
Passion for and expertise in practicing data science to solve real-world customer problems.
Excellent oral and written communication skills.
Strong interpersonal skills and enthusiasm for teamwork, as well as the ability to work independently.
High standards of code quality, making use of version control tools.
Proficiency in statistical software packages such as R, Python, Matlab.
Good knowledge of cloud environment like specifically Azure is required.
Experience in Agile working methodology

Responsibilities

Developing data science solutions to business challenges.
Write clean and maintainable production-level code, including tests; the tech stack we work with includes Python, Databricks, GIT, Azure, SQL.
Integrating models into production on a weekly or even daily basis
Work closely with the customer and the Product Owner day-to-day
Work in a highly-collaborative, friendly Agile environment, participate in Ceremonies and Continuous Improvement activities.
Documenting and explaining the results of analysis or modelling to both a technical and non-technical audience
Learning new engineering practices, technologies and continuously improving our Agile practices
Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
Communicating technical jargon in plain English to colleagues within Data Science team and outside Virtual working with network of colleagues located throughout the globe