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.General DescriptionWe are looking for a Data Scientist who specializes in recommendation systems to help us build a new algorithm to recommend products based on the purchase history of customers and various other factors. The ideal candidate will have a deep understanding of machine learning, data analysis, and statistical modeling, with a proven track record of developing and deploying recommendation systems at scale.Responsabilities:Algorithm Development: Design, develop, and implement recommendation algorithms for product suggestions based on customer purchase history and other relevant data.Data Analysis: Analyze large datasets to uncover patterns, trends, and insights that drive the recommendation engine.Model Training: Train and validate machine learning models to ensure high accuracy and performance of the recommendation system.Collaboration: Work closely with cross-functional teams including engineering, product management, and marketing to integrate the recommendation system into our product offerings.Performance Monitoring: Monitor and optimize the performance of the recommendation system, making adjustments and improvements as needed.Documentation: Maintain comprehensive documentation of algorithms, models, and processes.Requirements for this challenge:Bachelor's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field.Solid experience in data science with a focus on recommendation systems and international projects.Proficiency in programming languages such as Python, R, or Java.Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).Strong understanding of algorithms and data structures.Experience with recommendation system techniques such as collaborative filtering, content-based filtering, and hybrid methods.Must-have experience with Spark.Knowledge of frameworks and tools like Apache Mahout, Surprise, and LightFM.Experience working with machine learning on Databricks.Experience with SQL and other tools to exploit data for a clear, strategic vision.Analytical Skills: Strong analytical and problem-solving skills with the ability to work with complex datasets.Communication: Excellent verbal and written communication skills in English, with the ability to present technical concepts to non-technical stakeholders.Team Player: Ability to work effectively in a collaborative, fast-paced environment.Nice to HaveFamiliarity with A/B testing and other validation techniques.Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their machine learning services.Experience with MLOps practices, including model deployment, monitoring, and automated workflows using Azure DevOps, and Databricks.Our benefits:- Health plan and dental plan;- Meal allowances;- Childcare assistance;- Extended parental leave;- Gympass- Annual profit-sharing distribution;- Life insurance;- Partnership with an online mental health platform;- CI&T University;- Discount Club;- Support Program: legal; financial; physiotherapy; psychological guidance; nutritionist and more;- Pregnancy course and responsible parenthood;- Partnership with online course platforms- Platform for language learning;- And many others.#LI-JP3#MidseniorCI&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 Conflict of Interest Policy on website.We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.
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