Senior Data Scientist

3 semanas atrás

Sao Paulo, Brasil Underwriters Laboratories Inc. Tempo inteiro

:
At UL, we know why we come to work.:
Thousands of us around the world wake up every day with a common purpose: to make the world a safer, more secure and sustainable place. Science is in our DNA; we are endlessly curious and passionate about seeking and speaking the truth. We take delight in knowing that our work makes a meaningful contribution to society, and we are proud that our culture is centered on integrity, collaboration, inclusion and excellence. UL stands at the forefront of technological advancement, and we are continually challenged to find new ways to foster innovation and positive change. Satisfying? Yes. Exciting? Absolutey

What you’ll learn & achieve:

- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Collating and cleaning data from various entities for later use by Associate Data Scientists.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating non-technical reports that detail the successes and limitations of each project.
- Suggesting ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
- Analyze large, complex datasets to extract insights and decide on the appropriate technique.
- Selecting features, building, and optimizing classifiers using machine learning techniques.
- Mentors, directs, and trains colleagues in data science best practices
- Extending customer’s data with third party sources of information when needed.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Use data modelling and evaluation strategy to find patterns and predict unseen instances.

What makes you a great fit:

- Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
- Collating and cleaning data from various entities for later use by Associate Data Scientists.
- Cross-validating models to ensure their generalizability.
- Producing and disseminating non-technical reports that detail the successes and limitations of each project.
- Suggesting ways in which insights obtained might be used to inform business strategies.
- Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
- Analyze large, complex datasets to extract insights and decide on the appropriate technique.
- Selecting features, building, and optimizing classifiers using machine learning techniques.
- Mentors, directs, and trains colleagues in data science best practices
- Extending customer’s data with third party sources of information when needed.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Use data modelling and evaluation strategy to find patterns and predict unseen instances.

What you’ll experience working at UL:
**Mission**: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.

**People**: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.

**Interesting work**: Every day is different for us here as we eagerly anticipate the next innovation that our customers’ create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.

**Grow & achieve**: We learn, work and grow together with targeted development, reward and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.

Learn More:
Working at UL is an exciting journey that twists and turns daily. We thrive in the twists and revel in the turns. This is our every day. This is our normal.

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