Principal Data Scientist

Summary

Join Sword Health, a Forbes Best Startup Employer, as a Principal Data Scientist and contribute to our mission of freeing billions from pain. You will play a crucial role in shaping our data strategy, driving growth initiatives through data-driven insights, and building predictive models. This position offers a stimulating, fast-paced environment with opportunities for career development and growth. You will collaborate with cross-functional teams, leveraging your expertise in data analysis, A/B testing, and advanced statistical modeling. Sword Health provides a competitive salary, flexible work arrangements, and various benefits, including health insurance and unlimited vacation. The role requires a Bachelor's degree in a related field, 5+ years of experience in data science, and proficiency in Python or R.

Requirements

• Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent practical experience
• 5+ years of experience in Data Science roles
• Proficiency in programming languages like Python or R
• Strong SQL skills for querying and working with databases
• Experience with data manipulation libraries
• Experience working with marketing data, understanding how to integrate data from multiple channels (email, web, paid ads, social media, etc.), and using this data to optimize marketing campaigns
• Proven experience in designing, analyzing, and interpreting A/B tests and other experiments (e.g., multi-arm bandits, incrementality testing)
• Experience in solving complex business problems with data, being able to use complex tools and techniques
• Strong analytical and problem-solving skills, with the ability to synthesize complex data into actionable insights
• Previous Experience using descriptive and inferential statistics in the context of a product
• Strong organizational skills, with the ability to structure and manage data for efficient decision-making
• Highly proficient in spoken and written English

Responsibilities

• Help establish a culture of evidence-based decision-making by providing actionable insights based on data analysis
• Design and implement advanced predictive models (e.g., churn prediction, lifetime value estimation, user segmentation) to forecast key metrics and identify levers for growth
• Leverage advanced programming and processing of large datasets
• Collaborate on designing A/B tests and other experimentation frameworks to validate hypotheses and measure the impact of growth initiatives
• Work with product, marketing, engineering, and finance teams to help align on growth strategies to improve member acquisition, retention and engagement
• Built scalable solutions to automated systems for tracking and analyzing data
• Help build our reporting infrastructure and dashboards

Preferred Qualifications

• Entrepreneurial spirit with a strong drive to support growth and operational efficiency
• Proficiency in presenting findings to leadership and stakeholders, both in terms of technical analysis and strategic recommendations
• Familiarity with marketing automation platforms (e.g., Iterable, Marketo), CRM systems, and customer data platforms (e.g., Segment)
• Comfort with ambiguity and working in fast-paced, iterative environments
• Experience in working with cloud platforms (e.g. BigQuery)
• Exceptional interpersonal skills and the ability to work collaboratively across departments to achieve strategic goals

Benefits

• A stimulating, fast-paced environment with lots of room for creativity
• A bright future at a promising high-tech startup company
• Career development and growth, with a competitive salary
• The opportunity to work with a talented team and to add real value to an innovative solution with the potential to change the future of healthcare
• A stimulating environment with room for creativity
• A flexible environment where you can control your hours (remotely) with unlimited vacation
• Access to our health and well-being program (digital therapist sessions)
• Remote or Hybrid work policy
• Health, dental and vision insurance
• Meal allowance
• Equity shares
• Remote work allowance
• Flexible working hours
• Work from home
• Unlimited vacation
• Snacks and beverages
• English class
• Unlimited access to our Learning Platform