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Data Science Manager
2 semanas atrás
**Grow with Nitro's Data-Driven Approach**
Nitro's commitment to delivering innovative solutions for digital document workflows has earned us a reputation as a leader in the industry. Our comprehensive suite of solutions, including PDF, eSigning, identity verification, and analytics, supports over 3 million licensed users and 13,000+ business customers across 157 countries.
At Nitro, we believe in empowering our employees to excel. Our guiding principles drive our work:
- One team, one mission – Our collective dedication defines us.
- Own it – We take ownership of actions and decisions, empowering each other to lead with confidence.
- Accountable to our customers – We prioritize commitments and deliver results.
- Excellence in execution – Passion and precision guide our delivery of innovative, top-quality results.
- Be bold, fail fast, learn faster – We learn as we grow, dare to try, and bravely question.
In our Data Science & Analytics team, you'll work alongside talented engineers to design and build robust data pipelines, manage ETL workflows, and enable efficient data accessibility. As a Senior Analytics Engineer, you'll use your expertise in Data Engineering and Data Science to deliver actionable insights and support data-driven decision-making.
Responsibilities
- Deliver actionable business insights through in-depth analysis.
- Develop data models to optimize sales and marketing predictions and activities.
- Collaborate with Data Engineers and Product teams to define and maintain robust data structures.
- Design, develop, and operate data pipelines to provide high-quality datasets.
- Work with state-of-the-art cloud technologies primarily on AWS.
Requirements
- 5+ years of experience in data/software engineering.
- Familiarity with Python and Scala.
- Strong SQL skills and experience extracting datasets from disparate sources.
- A strong background in statistical analysis and data mining.
