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.ResponsibilitiesData 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: actively listen to and understand other perspectives, while also being able to share your own effects with others.RequirementsA 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;DifferentialKnowledge 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 company's 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.
#J-18808-Ljbffr