Thesis is the world’s first personalized brain supplement brand. We understand that everyone's brains are unique and cognitive demands for daily tasks are constantly changing.
Our nootropics are a powerful alternative to stimulants, providing similar benefits, minus the jitters, crash, and side effects.
Powered by the world’s largest data set on the efficacy of nootropics and advised by neuroscientists from Yale, Penn, and MIT, Thesis quickly and safely helps to support increased focus, creativity, energy, and memory in capsule form.
This is a hybrid role in NYC. 3 days in office, 2 days WFH
About The Role
We are seeking a talented and experienced Lead Data Analyst to join our team and play a pivotal role in harnessing data to drive insights, make informed decisions, and enhance our data reporting capabilities.
How You'll Make an Impact:
- Collect, clean, and preprocess large datasets, ensuring data quality and accuracy.
- Analyze data to identify trends, patterns, and correlations that inform business strategies.
- Develop predictive models and algorithms to solve specific business problems.
- Implement machine learning techniques to automate decision-making processes.
- Create visualizations and reports to communicate data-driven insights to both technical and non-technical stakeholders.
- Utilize data visualization tools and libraries to present complex data in a clear and compelling manner.
- Design and conduct experiments to test hypotheses and evaluate the effectiveness of data-driven solutions.
- Collaborate with cross-functional teams to optimize and refine models and strategies.
- Provide actionable insights and recommendations based on data analysis to drive business improvements.
- Collaborate with teams across the organization to apply data-driven solutions to real-world challenges.
We're Excited About Your:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience as a Data Analyst, with a strong portfolio showcasing successful data-driven projects.
- Proficiency in programming languages such as Python or R for data analysis and modeling.
- Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Solid understanding of statistical analysis and experimental design.
- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.
- Strong communication skills to convey complex findings and insights to non-technical stakeholders.
The estimated base salary for this role is 130-160k, subject to candidate experience.
A Few of Our Perks and Benefits:
- 💵 Competitive compensation with an exceptionally generous equity package
- 🩺 Competitive Health, dental, and vision plans (including a 100% covered premium plan for all 3!)
- 🚆 HSA, FSA and pre-tax commuter benefits for parking and transit
- 🚀 Ancillary benefits through Talkspace, One Medical, Kindbody, Teladoc, Classpass and more!
- 📈 401k to help you plan for the future
- 🏖 Unlimited PTO because we respect the need for work/life harmony
- 🏋️ $100 monthly wellness stipend for your wellbeing (e.g. massage, cryotherapy, psychedelic therapy, etc.)
- 💊 Unlimited (yes, unlimited) Thesis nootropics
- 🎓A strong emphasis on promoting from within and personal development
- 🐕 A dog-friendly office located in the heart of Flatiron steps from Union Square and Madison Square Park
- 🌎 International work week
- 🏢 Hybrid work model
- Find your formula: We strive to create an environment where everyone can discover their own formula for success and fulfillment. We are committed to providing the resources, support, and opportunities necessary for individuals to set their own path.
- Meet your potential: We prioritize the growth and development of our employees, fostering an environment that encourages continuous learning, adaptability, and personal transformation.
- Create exceptional experiences: We understand that our team members are the heart of our company, and we are committed to creating a work environment that fosters a sense of belonging, allowing them to contribute to the creation of exceptional experiences for our customers.
- Backed by science & data: Through data-driven insights, our employees gain a deeper understanding of customer preferences, market trends, and operational efficiencies. This knowledge assists them to make informed decisions, optimize their strategies, personalize their approach and enhance their problem-solving capabilities.