Staff data scientist

The Staff Data Scientist is responsible for designing, developing, and deploying artificial intelligence solutions tailored to solve real business problems.

As a Staff Data Scientist, the goal is to find the appropriate solution for the problem, which can range from simple rule-based systems, such as specialized systems, to complex deep learning models, computer vision, LLMs, or optimization algorithms. Sometimes, the best solution will be ML-driven, while other times, it might be something simpler.

A scientific level of rigor is expected, with thorough documentation and reproducible experiments that demonstrate the effectiveness of each solution. It is also expected that you stay updated with AI advancements and effectively gather and incorporate domain expertise into AI development.

Solutions are expected to be developed end-to-end, from experimentation to deployment, meeting high software engineering standards. You will also know when to apply an existing solution instead of developing a new one, accelerating value generation.

The Staff Data Scientist is, above all, a skilled problem-solver and a core component of all products developed by Shape Digital.

Responsibilities

• Explore and find opportunities for AI-powered solutions in the industrial sector.
• Write and develop others to write high-quality, scalable, and maintainable code while following best engineering practices.
• Effectively partner with domain experts to translate their expertise into AI solutions.
• Lead the design, research, and development of complex AI subsystems to provide next-level solutions that drive innovation, optimize business processes, and deliver measurable value to the organization.
• Manage the AI research backlog in response to business and product needs.
• Lead and mentor senior team members, fostering their growth and ensuring the adoption of best practices in AI development.
• Ensure that AI development follows strict scientific principles and maintain the quality of AI solutions developed by the team.
• Stay current with the latest AI research and implement state-of-the-art methods when applicable.
• Lead the elaboration of research papers, technical publications, and patent applications derived from the team s innovative AI methods and solutions, while safeguarding intellectual property.

Requirements

• A degree in STEM such as Computer Science, Engineering, Mathematics, or Statistics.
• Proficiency in Machine Learning, Python, and SQL.
• Experience working with time-series models.
• Strong experience with Python libraries such as Scikit-Learn, TensorFlow, Keras, and PyTorch.
• Advanced methods: additional specialization in an advanced area/domain (e.g., NLP, RNNs).
• Advanced/Fluent English.

Differentials

• Knowledge of industry and/or predictive maintenance.
• Experience with Cloud platforms: Azure, AWS, or Google Cloud Platform.

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.