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Data ScientistCategory: Analytics and Emerging Digital TechnologiesMain location: United States, Texas, HoustonPosition ID: J0426-0007Employment Type: Full TimePosition Description:We are looking for a candidate who can translate a business question into a data‐science solution. This requires strong knowledge of machine learning and/or statistics, a solid grasp of software development, and the ability to present findings clearly to both technical and non‐technical stakeholders. The role is located in Houston, TX, and is a hybrid position with three days onsite each week.AccountabilitiesDevelop data‐science solutions to business challenges.Write clean, maintainable production‐level code, include tests; the tech stack includes Python, Databricks, GIT, Azure, SQL.Integrate models into production on a weekly or daily basis.Collaborate closely with customers and the Product Owner on a day‐to‐day basis.Work in a highly collaborative, friendly Agile environment; participate in ceremonies and continuous improvement activities.Document and explain the results of analysis or modeling to both technical and non‐technical audiences.Learn new engineering practices, technologies, and continuously improve our Agile practices.Special ChallengesRapid onboarding on projects, understanding analytics goals, and working with ill‐defined datasets.Communicating technical jargon in plain English to colleagues within the Data Science team and to external stakeholders across the globe.Skills & RequirementsExperience on data‐science projects.Broad experience and knowledge in statistics, machine learning, and data engineering.Awareness of statistical issues and dependence on data quality.A practical approach to problem solving and attention to detail.Passion for 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, using version control tools.Proficiency in statistical software packages such as R, Python, Matlab.Good knowledge of cloud environments, specifically Azure.Experience in Agile working methodology.Compensation RangeA reasonable estimate of the compensation range for this role in the U.S. is $109,500.00 – $138,600.00.BenefitsCompetitive compensationComprehensive insurance optionsMatching contributions through the 401(k) plan and the share purchase planPaid time off for vacation, holidays, and sick timePaid parental leaveLearning opportunities and tuition assistanceWellness and well‐being programsEEO StatementQualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at USEmploymentCompliance@cgi.com. Please reference the Position ID of the position in which you are interested.All CGI offers of employment in the U.S. are contingent upon successfully completing a background investigation. Background investigation components can vary depending on the assignment and/or level of U.S. government security clearance held.CGI will not discharge or otherwise discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Employees who have access to compensation information of others may only disclose such information in response to a formal complaint, in furtherance of an investigation, or in accordance with legal duty to furnish information.#J-18808-Ljbffr