Data Scientist

Applaudo

Brasil

Híbrido

BRL 133 920 - 200 880

Tempo integral

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Work from home

Great work environment

Private medical insurance

Celebrations

Resumo da oferta

A leading digital solutions provider in Brazil is seeking a Mid-Senior Level Data Scientist to transform complex data into actionable insights. The ideal candidate will have proficiency in Python and SQL, experience with Azure cloud services, and the ability to design impactful dashboards in Power BI. This role offers work-from-home options and a collaborative environment.

Qualificações

Proven experience with Azure cloud services for data processing.
Strong proficiency in Python for data manipulation.
Hands-on experience with Power BI for building dashboards.

Responsabilidades

Collect and transform data from multiple sources.
Build statistical models and machine learning algorithms.
Design Power BI dashboards to communicate insights.

Conhecimentos

Data manipulation

Statistical modeling

Machine learning

SQL querying

Communication skills

English proficiency (B2+)

Formação académica

Bachelor's degree in Computer Science, Data Science, or related field

Ferramentas

Azure cloud services

Python

Power BI

SQL

Descrição da oferta de emprego

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You are someone who wants to influence your own development. You’re looking for a company where you have the opportunity to pursue your interests and be able to grow professionally.

You are a data-driven professional passionate about turning complex data into actionable insights. You thrive on using advanced analytics, statistical modeling, and visualization tools to solve business problems. You enjoy working with cloud technologies and collaborating across teams to deliver data solutions that drive measurable impact.

You bring to Applaudo the following competencies:

Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field — or equivalent experience.
Proven experience working with Azure cloud services for data processing and analytics.
Strong proficiency in Python for data manipulation, statistical modeling, and machine learning.
Solid knowledge of SQL for querying, data preparation, and optimization.
Hands-on experience with Power BI for building dashboards and delivering insights.
Ability to design and execute data-driven solutions to support business objectives.
Strong analytical and problem-solving skills with attention to detail.
Effective communication skills to explain complex findings to technical and non-technical stakeholders.
English proficiency (B2+), both written and spoken.

You will be accountable for the following responsibilities:

Collect, clean, and transform data from multiple sources, ensuring data quality and reliability.
Build and implement statistical models and machine learning algorithms to generate insights and forecasts.
Design and maintain Power BI dashboards to communicate data insights to business leaders and stakeholders.
Leverage Azure cloud services to manage and optimize data pipelines and analytical solutions.
Write and optimize SQL queries to extract, analyze, and transform large datasets.
Collaborate with cross-functional teams (engineering, operations, business) to align data science solutions with organizational goals.
Translate business problems into data science approaches and deliver actionable recommendations.
Stay current with emerging tools and methods in data science, cloud analytics, and visualization.

Additional Information

Here at Applaudo Studios values as trust, communication, respect, excellence and team work are our keys to success. We know we are working with the best and thus treat each other with respect and admiration without asking.

Submit your application today, and don't miss this opportunity to join the Best Digital team in the Region!

We truly appreciate all the hard and outstanding work our team makes every day at Applaudo Studios, and that's why the perks that we offer, are deeply thought and designed as a way to thank them for their commitment and excellence.

Some of our perks and benefits: