At Fullscript were not just changing healthcarewere making it whole.
We help 100000 healthcare practitioners support 10 million patients with a platform that delivers evidencebased health solutions diagnostic support and practitioner toolsall in one place.
Healthcare today is disconnected. Were fixing that. Fullscript makes it easier for practitioners to treat the whole person not just symptoms so patients get the support they needwhen they need it.
Were building a better wayone where healthcare is connected complete and built for impact.
Were looking for a Senior Data Scientist to join our dynamic data team. In this role youll leverage advanced analytics and machine learning to drive strategic decisions and enhance our product offerings. Collaborating closely with crossfunctional teams youll transform complex data into actionable insights directly influencing Fullscripts growth and the success of our practitioners and their patients.
What Youll Do:
Advanced Analytics & Modelling: Develop and implement sophisticated statistical models and machine learning algorithms to analyze large datasets uncover trends and predict future behaviors.
Experimentation & Causal Inference: Design conduct and analyze A/B tests and other experiments to evaluate the impact of product changes and new features.
CrossFunctional Collaboration: Partner with Product Managers Engineers and other stakeholders to identify datadriven opportunities and influence product and business strategies.
Data Pipeline Development: Work alongside Analytic Engineers to design and optimize data pipelines ensuring efficient data collection processing and availability.
Mentorship: Guide and mentor junior data scientists and analysts fostering a culture of continuous learning and improvement within the team.
Stakeholder Communication: Translate complex analytical findings into clear actionable insights for both technical and nontechnical audiences.
What You Bring:
5 years of experience in data science preferably in productled highgrowth environments (SaaS or eCommerce a bonus).
Analytical Expertise: Strong foundation in experimental design causal inference and statistical analysis.
ProblemSolving: Ability to tackle ambiguous problems identify key insights and drive actionable recommendations.
Communication Skills: Excellent verbal and written communication skills with the ability to convey complex concepts to diverse audiences.
Curiosity and humilityyoure excited to learn and even more excited to teach.
Technical Skills:
Proficiency in SQL and programming languages like Python or R.
Experience with machine learning frameworks (e.g. scikitlearn XGBoost or similar) and statistical modeling techniques.
Familiarity with data visualization tools and techniques.
Bonus points you have:
Industry Experience: Background in health tech integrative medicine or related fields.
Tool Proficiency: Experience with BI tools like Looker or Tableau and familiarity with cloud platforms such as Snowflake or AWS.
Advanced Techniques: Knowledge of deep learning natural language processing or other advanced machine learning methodologies.
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