CI&T

[Job – 14261] Data Scientist Senior, Brazil

26 March 2024
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Deadline date:
£124000 - £191000 / year

Job Description

We partner with the world’s most valuable brands to build digital solutions that transform businesses. As a digital native, we bring a 29-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design, and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.

Hi, is Verónica from CI&T!I am a Talent Attracting Analyst looking for people located in Brazil for a Data Scientist Senior Position to join us!
Responsibilities:- Design and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract actionable insights.- Collaborate with business stakeholders to understand their problems and develop data-driven solutions that align with organizational goals.- Clean, preprocess, and ensure the integrity of data for analysis, employing techniques such as imputation, normalization, and transformation.- Develop and maintain scalable data pipelines for data ingestion, processing, and analysis using cloud platforms and services.- Visualize data and analysis results in clear, compelling ways to communicate findings to both technical and non-technical audiences.- Continuously monitor model performance and update models as necessary to adapt to new data patterns and business needs.- Explore and integrate new data sources and analytical techniques to improve the quality and value of insights.- Stay current with advances in data science, machine learning, and artificial intelligence, especially applications within the industry. Requirements:- At least 5 years of experience in a Data Science role, with a proven track record of developing and deploying models that have driven business impact.- Strong background in statistics, mathematics, or computer science.- Proficiency in  Python for data analysis.- Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and libraries (e.g., NumPy, Pandas).- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).- Knowledge of SQL and experience working with relational databases.- Ability to work independently as well as part of a team, with excellent communication skills to translate complex analytical concepts to non-expert stakeholders. Nice to Have:- Experience in the Health Care Sector and Life Sciences Area- Experience with cloud computing platforms (AWS, Azure) for data processing and model deployment.- Exposure to big data technologies (e.g. Spark).- Familiarity with Natural Language Processing (NLP) or computer vision techniques and their application in real-world scenarios.- Experience with Generative AI technologies and their potential applications in data augmentation and analysis.
Our benefits:- Health plan and dental plan;- Meal allowances;- Childcare assistance;- Extended parenting leave;- Gympass- Annual profit-sharing distribution;- Life insurance;- Partnership with an online mental health platform;- CI&T University;- Discount Club;- Support Program: financial; psychological guidance; nutritionist and more;- Pregnancy course and responsible parenthood;- Partnership with online course platforms- Platform for language learning;- And many others.
#LI-MR4CI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas.
Before applying for our opportunities take a look at our Conflict of Interest Policy.
We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.