Data scientist
responsibilities
* interpret and analyze data problems using advanced modeling techniques
* build robust data pipelines using big-data tools
* combine data across different data systems and streams
* maintain data quality and integrity
* independently build analytic systems, predictive models, and optimization engines within a cloud environment
* test, monitor, and improve performance of data-driven products using industry leading practices
* ongoing self-improvement and experimentation with new machine-learning models and techniques
* visualize data, create reports and dashboards, and build interactive apps
* plan projects and timelines for assigned projects.
* communicate competently with business stakeholders up to the director-level
* be a primary point contact for assigned business stakeholders
* responsible for change-management and urgent requests
* data science skillset
* experience with statistical methods such t-test of means, tukey-hsd tests of means on groups, anova, proportion tests, data normalization and scaling, univariate and multivariate outlier detection.
must have experience
* working with llm apis (open ai, gemini, etc)
* recommendation models
* propensity/churn modeling
* model explain ability using shap
* frontend development (flask, streamlit, reactjs)
* chatbot development (teams api or similar)
must have languages
* python
* sql
* pyspark
* java script
about capgemini
capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in ai, cloud and data, combined with its deep industry expertise and partner ecosystem. The group reported 2023 global revenues of €22.5 billion.
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disclaimer
capgemini is an equal opportunity employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
this is a general description of the duties, responsibilities and qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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applicants for employment in mexico must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in mexico by capgemini.