Data Scientist, Analytics
Palo Alto, CA
Applications have closed
Next Insurance
Protect your small business with NEXT Insurance. Fast quotes. Instant coverage with competitive rates. Totally tailored for 1,300+ professionsLocation: Palo Alto, CA (hybrid)
NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.
Simply put, wherever you find small businesses, you’ll find NEXT.
Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.
Want to shape the future of insurance through data science? We are looking for a Data Scientist to join the growing data org that has a dedication to diving into data and thinking analytically about business problems and user behaviors. The ideal candidate is excited to define and own company objectives and guide their team towards success through data-driven decisions. If you have the intuition to identify important analytical questions, the technical ability for complex deep-dives, and the communication skills to turn ideas into action - you belong here!
What You’ll Do:
- Conduct deep-dive analysis to improve insurance product performance, with focus on pricing and underwriting
- Identify, size and prioritize opportunities pertaining to growth and profitability
- Partner with data engineering to design the right data model, logging, and data-pipelines.
- Work with cross-functional partners to determine the strategy of their team, then design the right metrics and targets to communicate their progress
- Create clear, compelling, and actionable insights based on data
- Develop dashboards to track progress against objectives, understand metric drivers, and help business stakeholders make data-informed decisions
- Design experiments to inform product decisions
- Provide statistical rigor and guidance on metric development
What We Need:
- 5+ Professional experience in a quantitative analysis role
- Desire and capability to deeply understand the insurance products we offer and available levers
- Applied knowledge of experiment design and causal inference, particularly non-A/B or RCT experiments
- Fluent in SQL and comfortable with less structured data format such as JSON
- Proficiency in statistical analysis using Python or R.
- Ability to define relevant metrics that can guide and influence stakeholders to the appropriate and accurate insights
- Experience building clear and easy to understand dashboards
- Ability to communicate effectively to cross functional partners of varying technical levels
- Experience influencing the product strategy through analyses
- BA/BS degree
Unstoppable Qualities:
- Experience in insurance or financial services
- Experience with pricing and underwriting risk
- Applied knowledge of experiment design and causal inference, particularly non-A/B or RCT experiments
The range displayed on this job posting reflects the minimum and maximum target for new hire salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. NEXT employees are eligible to participate in our equity incentive program and will also receive our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.
US annual base salary range for this full-time position: $106,000—$197,000 USD
Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
Tags: Causal inference CX Engineering JSON Pipelines Python R SQL Statistics
Perks/benefits: Career development Equity Flex vacation Health care Insurance Medical leave Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open Consulting-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open DevOps-related jobs