• Collaborate with the team to define goals and deliver custom data solutions. • Innovate with new tools to improve infrastructure and processes. • Design and implement ETL processes, optimize queries, and automate pipelines. • Own projects end-to-end, working directly with clients. • Mentor and support team members, helping them deepen their knowledge in Data Engineering and model design. • Lead data pipeline development and guide technical decisions. • Act as a liaison between the team and stakeholders, ensuring alignment. • Foster team autonomy while ensuring smooth collaboration. • Contribute to technical research and stay ahead of solutions for future projects. • Focus on code quality—review, document, test, and integrate CI/CD. • Participate in candidate interviews and evaluations to help Mutt grow.

Agency : Havas Media Group Job Description : Data Science Associate – Marketing Analytics & Advanced Measurement (Global CoE) Location: Perú Fully Remote. CSA, the data consultancy within Havas Media Group, is seeking a Data Science Associate with a focus on Marketing to join our growing team.The Data Science Associate will have a passion for leveraging data-driven insights, implementing innovative marketing strategies, and optimizing customer experiences. They will play a pivotal role in providing state-of-the-art, privacy-first solutions for our clients, working with both event-level and aggregated data to create actionable insights and drive marketing performance. Key Responsibilities - Perform data wrangling tasks, including data cleaning, transformation, and integration from multiple sources to ensure high-quality and accurate datasets for analysis. - Continuously research and learn about new technologies and statistical methodologies to stay current in the rapidly evolving field of data science and marketing analytics. - Assist in applying advanced statistical techniques and machine learning algorithms to analyze event-level and aggregated data, identify patterns, and provide actionable insights to drive marketing performance. - Support the implementation and evaluation of marketing models, such as customer segmentation, lift analysis, attribution modeling, and marketing mix models. Requirements: - Bachelor's or Master's degree in Data Science, Economy, Statistics, Computer Science, or a related field. - Proficiency in statistical programming languages and packages such as Python, Pandas, and sci-kit-learn. Knowledge of SQL is desirable. - Knowledge of statistics (e.g., correlation and regression, statistical significance tests, t-tests, z-score) and Machine Learning (Clustering, ensembles, SVM). - Proficiency in MS Office tools such as Excel. - Advanced English language skills (mandatory). - Ability to work in a team, even remotely with global teams. What We Offer: 🌍 Global Exposure: Work with international teams and global brands. 📄 Long-Term Contract: Stability and the opportunity to grow within a global network. 🏡Remote Work Model: Virtual work environment with a healthy work-life balance. 💊Health & Wellness: EPS 100% health insurance and wellness initiatives. 🎉Culture & Community: Inclusive, collaborative, and purpose-driven workplace. 💰Competitive Compensation: Full time contract monthly salary + food benefit card If you are a Data Scientist with a passion for marketing analytics and are eager to make a significant impact on our clients' success, we would love to hear from you! Apply now to join the CSA team within Havas Media Group and take your career to new heights. Contract Type : Permanent Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.

Senior data engineers at Thoughtworks are engineers who build, maintain and test the software architecture and infrastructure for managing data applications. They are involved in developing core capabilities which include technical and functional data platforms. They are the anchor for functional streams of work and are accountable for timely delivery. They work on the latest big data tools, frameworks and offerings (data mesh, etc.), while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Job responsibilities - You will develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions. - You will develop intricate data processing pipelines, addressing clients' most challenging problems. - You will collaborate with data scientists to design scalable implementations of their models. - You will write clean, iterative code using TDD and leverage various continuous delivery practices to deploy, support and operate data pipelines. - You will use different distributed storage and computing technologies from the plethora of options available. - You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stack. - You will collaborate with the team on the areas of data governance, data security and data privacy. - You will incorporate data quality into your day-to-day work. Job qualifications Technical Skills - Working with data excites you: you can build and operate data pipelines, and maintain data storage, all within distributed systems. - You have hands-on experience of data modeling and modern data engineering tools and platforms. - You have experience in writing clean, high-quality code using the preferred programming language. - You have built and deployed large-scale data pipelines and data-centric applications using any of the distributed storage platforms and distributed processing platforms in a production setting. - You have experience with data visualization techniques and can communicate the insights as per the audience. - You have experience with data-driven approaches and can apply data security and privacy strategy to solve business problems. - You have experience with different types of databases (i.e.: SQL, NoSQL, data lake, data schemas, etc.). - Experience with Python, SQL, ETL/Data Pipelines, Databricks, modern Data Warehousing/Data lakes/Delta lakes (Snowflake, Redshift, BigQuery). - Experience with one or more major cloud platforms (AWS, Azure or GCP) and Machine Learning/AI/Gen AI/LLM. Professional Skills - You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. - You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. - You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. - You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. - You enjoy influencing others and always advocate for technical excellence while being open to change when needed. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. Extra important information Accommodations - Thoughtworks is committed to providing reasonable accommodations to applicants with disabilities and to applicants with sincerely held religious beliefs throughout the hiring process. If you need an accommodation to apply or participate in the interview process, please complete this form or speak with your recruiter. Project changes - As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change. Responsible Use of AI in Recruitment At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. About Thoughtworks Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Remote Salary Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $122,000—$184,000 CAD See here our AI policy.

• Lead & deliver high quality data products and solutions • Work within various data warehouses, marts, and BI environments • Develop on AWS and Snowflake platforms • Build robust data pipelines and platforms