Junior Data Scientist

Rio de Janeiro, State of Rio de Janeiro, Brazil

Applications have closed

Shape

Digital services and solutions that deliver true bottom line impact.

View company page

As a Data Scientist, you will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling the team to advance the data-driven decision-making capabilities of our enterprise.

This role requires an understanding of machine learning, data mining, information retrieval to design, prototype, and build next-generation advanced analytics engines and services.

Responsibilities

  • Data mining, cleaning: identify and merge relevant data and sources, test data quality, identify and resolve any irrelevant, corrupt, missing, or incongruent data; Quick learner of business needs and translate them into potential analytics solutions.
  • Data analysis & ML: assist analytics approach (algorithm selection, architecture design of tools/techniques). Should be comfortable with both mathematical/statistics concepts, and application of techniques.
  • Software development: write reusable, version-controlled code that can be scaled, deployed, and distributed.
  • Documentation: capture model design choices, algorithm selection process, dependencies, preprocessing, and feature generation.
  • Value assurance: work with business process owners to validate model outputs, construct appropriate training, tune models, and ensure value is created from models.
  • Problem framing: participate in problem framing together with business owners for identified opportunities.
  • Communication: to be able to actively listen to, and understand other perspectives, while also being able to share your own effectively with others.

Requirements

  • A degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Statistics;
  • Knowledge of Machine Learning, Python, and SQL;
  • Familiarity with Python Library, such as Scikit-Learn, TensorFlow, Keras, and PyTorch;
  • Advanced methods: additional specialization in an advanced area/domain (e.g., NLP, RNNs);
  • Advanced/Fluent English

Differential

  • Knowledge of time series model;
  • Knowledge of predictive maintenance;
  • Experience with Cloud: Azure, AWS, or Google Cloud Platform;
  • Experience working on a collaborative Agile product team;

Benefits

  • An insurance plan that covers health and dental care (so that you can take care of yourself!)
  • Vouchers for meals and food (so you can eat well!)
  • Flexible schedule (for you to work at the best time!)
  • In-office massage and manicure (so you can relax and stay beautiful!
  • Mentorship program (so you can become more talented!)
  • Gympass (for you to get in Shape!)
  • Snacks and Breakfast at the office!
  • An inclusive environment!

It's all and many more without a discount!

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture AWS Azure Computer Science Data analysis Data Mining Data pipelines Data quality Engineering GCP Google Cloud Keras Machine Learning Mathematics Model design NLP Pipelines Predictive Maintenance Python PyTorch Scikit-learn SQL Statistics TensorFlow

Perks/benefits: Career development Fitness / gym Flex hours Health care Snacks / Drinks

Region: South America
Country: Brazil
Job stats:  41  16  1
Category: Data Science Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.