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Senior Data Analyst
14 hours ago
Mentimeter is a leading engagement platform that transforms presentations into meaningful conversations. Our mission is to empower individuals and organizations to collaborate effectively, drive innovation, and achieve remarkable results.
About the RoleWe're seeking a highly skilled Senior Data Scientist to join our Data & Analytics (DNA) department. As a key member of our team, you will play a pivotal role in advancing our analytics capabilities, driving business impact, and informing strategic decisions.
Key Responsibilities:
- Design and deploy machine learning models to drive business insights and recommendations.
- Elevate data science craft within the DNA department by setting new standards, implementing innovative approaches, and best practices.
- Collaborate closely with cross-functional teams to ensure solutions are relevant, impactful, and aligned with business objectives.
- Provide mentorship and technical guidance to team members, fostering a culture of continuous learning and growth.
You'll work at the intersection of analytics, data science, and business to deliver actionable insights and solutions that enable better decision-making across departments. Your contributions will directly influence key business outcomes such as customer retention, engagement, and expansion.
RequirementsTo succeed in this role, you'll need:
- A minimum of 8 years of relevant work experience.
- Proven expertise in data science methodologies, with strong proficiency in machine learning techniques and programming languages (e.g., Python and SQL).
- Strong business acumen with a deep understanding of sales, marketing, and product analytics.
- Expertise in ML modeling with a focus on production deployment and ML engineering best practices (e.g., versioning, monitoring, testing).
- Solid software engineering practices, including git, code reviews, and writing performant, maintainable code.
- Experience collaborating with data engineers on data pipelines, model deployment, and monitoring.
Nice to have:
- Familiarity with modern data tools (e.g., Looker, Hex, Snowflake) and cloud platforms (e.g., AWS, Google Cloud).
- Experience working within a SaaS environment, with a strong understanding of the unique business challenges and opportunities it presents.
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