Senior Data Scientist – Machine Learning

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Invillia

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2003

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Invillia is a technology company that specializes in developing innovative software solutions for businesses. It focuses on creating custom applications leveraging advanced technologies to enhance operational efficiency and drive digital transformation for its clients. Invillia aims to empower organizations by providing tailored software that meets their specific needs and challenges.

📋 Description

• Provide technical solutions for new features and support existing functionality • Design and detail machine learning and data solutions to meet business needs • Develop predictive models and machine learning algorithms to solve complex business problems • Conduct data exploration, preparation, and analysis activities, from model conception through validation • Interpret results and generate insights focused on measurable business impact • Define key business questions and create datasets capable of answering them • Implement, fine-tune, and optimize data platforms and solutions based on streaming and distributed processing • Design, develop, and operate solutions using AWS Analytics and Machine Learning services • Apply supervised learning, unsupervised learning, and deep learning techniques as required by project needs • Use experimentation, versioning, and model monitoring tools to ensure delivery quality

🎯 Requirements

• Strong programming logic and problem-solving skills • Experience designing and detailing solutions • Hands-on experience with Python • Hands-on experience with machine learning • Knowledge of natural language processing (NLP) and/or computer vision • Experience with AWS Analytics and Machine Learning services, such as Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Amazon Athena, and Amazon SageMaker • Experience implementing data platforms • Hands-on experience implementing and performance-tuning solutions using Kinesis, Kafka, Spark, and/or Storm • Experience designing, developing, and operating solutions using Amazon Kinesis, Apache Kafka, Apache Spark, Amazon SageMaker, Amazon EMR, NoSQL technologies, and third-party solutions • Experience with one or more tools such as TensorFlow, PyTorch, Scikit-learn, Flink, Spark, Sqoop, Flume, Kafka, and Amazon Kinesis • Knowledge of data science libraries and tools such as Scikit-learn, XGBoost, LightGBM, Statsmodels, SciPy, Jupyter, Databricks, and MLflow • Ability to work resiliently in dynamic environments • Strong dependency management and cross-team alignment skills