Data Scientist

Monks; Buenos Aires; Presencial; BRL 30.000 - 70.000; Tempo integral

Resumo da oferta

Join an innovative firm as a Semi Senior Data Scientist, where you'll leverage your expertise in statistical modeling and machine learning to drive impactful data-driven strategies. Collaborate with talented teams to develop cutting-edge solutions for digital marketing, utilizing cloud resources and advanced analytics. This role offers a unique opportunity to influence business outcomes through data, while fostering a culture of learning and collaboration. If you're passionate about data science and eager to make a difference in a dynamic environment, this position is perfect for you!

Qualificações

• 2+ years experience in data science with statistical modeling and machine learning.
• Strong background in cloud vendors and large data set analysis.

Responsabilidades

• Develop data-driven strategies to enhance customer experiences and revenue.
• Create and deploy ML models, ensuring data cleanliness and statistical significance.

Conhecimentos

Statistical Modeling

Machine Learning

Data Analysis

Predictive Modeling

Cloud Computing

Data Visualization

Communication Skills

Formação académica

Degree in Computer Systems

Degree in Mathematics

Degree in Statistics

Degree in Physics

Ferramentas

Python

R

GCP

AWS

Azure

SQL

Power BI

Tableau

Looker

Apache Beam

Descrição da oferta de emprego

Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via LinkedIn, all applications must be submitted through our official website (monks.com/careers).

The Semi Senior Data Scientist will help develop solutions for digital marketing use cases using statistical, data mining methods and data engineering solutions, working closely with our Analytics and Solutions Engineering teams. The semi senior data scientist should be a data specialist with some experience in the deployment of propensity modeling, clustering analysis, churn analysis, product recommender systems and descriptive analytics. The candidate can expect to participate in all technical phases of internal research & development and client projects, including data discovery, data engineering, model development and/or data mining and evaluating options. It is also expected some participation in the organizational phases of projects such as project definition, tasks planning and estimation, making recommendations for the client.

Responsibilities

• Nurture client understanding of the importance of building & testing data-driven strategies. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Use statistical analysis and machine learning libraries (R Stats, Python StatsModels, scikit-learn, etc.) to create models that quantify the influence of online activities on offline conversions.
• Deploy cloud resources (GCP, Microsoft Azure, AWS, or other) to perform analysis on large data sets.
• Create ML pipelines models from data-wrangling to getting it into production.
• Utilize data visualization techniques to explain data and models to clients and internal teams (Power BI, Tableau, Looker, etc.).
• Mine data to support analytical projects and prepare data to support the development of information models to prove or disprove project hypotheses.
• Design and manage experiments to ensure proper execution, data cleanliness, and statistical significance of results.
• Act as a consultative resource to help clients understand the quality of their internal testing processes.

Qualifications

• Educational background in Computer Systems, Mathematics, Statistics or Physics
• Proven experience articulating, translating, and solving business problems through data.
• Work experience in cloud vendors (GCP, AWS, Azure).
• 2+ years of experience in data science (statistical modeling, machine learning for forecasting, classification and optimization)
• Experience analyzing large data sets with the Python or R data ecosystem.
• Experience using large databases (SQL, Snowflake, BigQuery or similar).
• Experience using Power BI, Tableau, Looker, or similar.
• Experience leveraging digital analytics (Google/Adobe Analytics) and measurement solutions data in the digital advertising industry.
• Willingness to both teach others and learn new techniques.
• Advanced English communication skills.

Preferred qualifications

• A set of certifications or work experience in another cloud vendor (GCP, AWS, Azure).
• Hands-on experience in model deployment, governance, and workflow optimization (MLOps).
• Hands-on experience with cloud orchestration tooling, infrastructure-as-a-code.
• Hands-on experience building scalable ETL pipelines (Apache Beam, Airflow, Cloud Composer, Cloud Functions, Pub/Sub).
• Ability to explain the analytical methods and results to non-technical stakeholders to drive data-driven decision making.

About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.

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