Mid data scientist

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.

We are looking for a passionate business and product enthusiast with a deep understanding of machine learning, data mining, and 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: lead and design 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 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 effects 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

• PPR (Profit Sharing): Possibility of extra compensation based on the companys results, according to your performance.
• Health and Dental Plan: To ensure your care and well-being!
• Flexible Benefit: Receive an amount that can be used according to your needs, including food, transportation, education, culture, and health. You decide how to use it!
• Flexible Hours: Work at the best time for you and have a better quality of life.
• Massages and Manicure in the Office: So you can relax and feel good about yourself.
• Mentorship Program: Access development opportunities with the help of experienced professionals.
• Gympass: To keep your health in check and take care of your body.
• Snacks in the Office: Because everyone loves a snack at work!
• Inclusive Environment: We value diversity and always strive to create a space where everyone can be authentic, respected, and feel part of something bigger.
• Day off in Your Birthday Month: A day off in your birthday month to celebrate in any way you prefer
• Extended Maternity/Paternity Leave: So you can enjoy this important time with your family, with peace of mind that your professional life will remain well-supported.
• Childcare Assistance: To support you with the care of your young children.
• Continuous Individualized Development Support: We offer support for your professional growth, respecting your personal needs and goals.
• Culture and Well-being: We create an environment that values mental health, work-life balance, and encourages connection with culture.