![Mentimeter](https://media.trabajo.org/img/noimg.jpg)
Chief Data Analytics Officer
4 hours ago
Mentimeter is an engagement tool that empowers people to participate, engage, and become more productive through real-time interactivity and clear visualizations. By turning presentations into conversations, we aim to make meetings, classrooms, and trainings more valuable and memorable.
We believe that successful leaders adopt a curious and collaborative mindset to achieve the best results. As a Senior Data Scientist at Mentimeter, you will play a pivotal role in advancing our analytics capabilities to drive impactful, data-informed strategies for our SaaS-based business. With your expertise in machine learning techniques and programming languages, you will design and deploy predictive models, elevate the data science craft within the Data & Analytics department, and collaborate closely with cross-functional teams to enable the business to proactively act on data and create business impact.
The Data & Analytics department is on a mission to catalyze our company strategy and drive innovation, growth, and impact throughout our company and user journey by using data. We work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decisions across departments, including Product, Marketing, Sales, and Revenue Operations. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.
In this role, you'll have the opportunity to:
* Design and deploy machine learning models with a strong focus on technical aspects of production deployment;
* Elevate the data science craft within the Data & Analytics department by setting new standards, implementing innovative approaches, and best practices;
* Collaborate closely with our Data Platform Team, Analytics Engineering, and other sister teams to enable the business to proactively act on data and create business impact;
* Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth;
* Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences;
To be successful in this role, you'll need to possess a minimum of 8 years of relevant work experience, proven expertise in data science methodologies, strong proficiency in machine learning techniques and programming languages (e.g., Python and SQL), and a deep understanding of sales, marketing, and product analytics. Additionally, you should have expertise in ML modeling with a focus on production deployment and ML engineering best practices, solid software engineering practices, and experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
If you're passionate about leveraging data science to drive business impact and take analytics to the next level, we'd love to hear from you.
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