About the Role
As a key player in the Product Development organization, this Data Scientist will leverage advanced data analytics skills and product understanding to drive strategic decision-making, optimize engagement and monetization, and accelerate product adoption. This role significantly enhances customer experiences and contributes to business success, helping to make conversations more valuable.
Responsibilities
- Collaborate with Product teams to translate business objectives into data-driven insights and recommendations.
- Develop and implement predictive models, analytical tools, and methodologies for product usage and customer behavior analysis.
- Analyze large datasets to generate actionable insights for engagement and monetization strategies.
- Design and execute experiments to test hypotheses and measure feature effectiveness.
- Partner with cross-functional teams to integrate data-driven insights into products and services.
- Present findings and recommendations to stakeholders to inform strategic decision-making and product roadmaps.
- Collaborate with Data Engineers to ensure data quality, accessibility, and reliability.
- Stay current with industry trends, emerging technologies, and best practices in data science, machine learning, and AI.
Requirements
- 3+ years as a Data Scientist in a software technology or AI-driven company.
- Proficiency in SQL for querying large datasets.
- Expertise in Python and R for data manipulation, analysis, and visualization.
- Strong background in data analysis, statistical modeling, and data science techniques.
- Familiarity with B2B SaaS business models.
- Ability to translate complex findings into actionable insights for non-technical stakeholders.
- Proven ability to work effectively in cross-functional teams.
- Ability to manage multiple projects simultaneously.
- Strong problem-solving skills.
- Ability to thrive in a fast-paced, dynamic start-up environment.
Skills
- Advanced data analytics
- SQL
- Python
- R
- Data manipulation
- Data analysis
- Data visualization
- Statistical modeling
- Data science techniques
- Predictive modeling
- Analytical tools
- Machine learning
- AI
Location
- Hybrid
Experience Level
- 3+ years
Salary/Compensations
- $155,000 to $185,000 USD per year
About the Company
- Shaping the future of work.
- Mission: Make conversations more valuable.
- World’s leading tool for meeting transcription, summarization, and collaboration with over 1B meetings transcribed.
- Uses artificial intelligence to generate real-time automated meeting notes, summaries, and insights from in-person and virtual meetings.
- Turns meetings into accessible, collaborative, and actionable data.
- Backed by early investors in Google, DeepMind, Zoom, and Tesla.
Equal Opportunity
- Otter.ai is an equal opportunity employer.
- Committed to diversity, inclusion, and an accessible workplace.
- Provides reasonable accommodations for qualified applicants throughout the hiring process.
- Committed to providing reasonable accommodations for candidates with disabilities.
- Contact hr@otter.ai at least 3 business days before your interview for assistance or accommodation.
