Sr. Data Analyst

Updated on 12/2/2023

11-50 employees

Personalized brain supplements for enhanced cognition

Company Overview

Thesis stands out as the first personalized brain supplement brand, leveraging the world's largest data set on nootropics efficacy and guidance from neuroscientists at prestigious institutions like Yale, Penn, and MIT. The company's culture is rooted in personalization and scientific rigor, tailoring nutrient compounds to enhance mental performance based on individual goals and unique brain chemistry. Testimonials from users, including top performers and professionals, highlight the benefits of Thesis' products in enhancing focus, energy, and creativity without the common side effects of stimulants.

Data & Analytics

Company Stage

Seed

Total Funding

$13.6M

Founded

2017

Headquarters

New York, New York

Growth & Insights

Headcount

6 month growth

↑ 31%

1 year growth

↑ 46%

2 year growth

↑ 46%

Locations

New York, NY, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Apache Spark

AWS

Data Analysis

Data Science

Data Structures & Algorithms

Google Cloud Platform

Hadoop

Microsoft Azure

Pytorch

SQL

Tableau

Tensorflow

Natural Language Processing (NLP)

Python

Power BI

CategoriesNew

AI & Machine Learning

Data & Analytics

Requirements

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

Responsibilities

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

Desired Qualifications

Experience with data engineering and data pipeline development
Knowledge of cloud platforms and services (e.g., AWS, GCP, Azure)
Familiarity with big data technologies (e.g., Hadoop, Spark)
Experience with natural language processing (NLP) and text mining
Understanding of A/B testing methodologies
Experience with SQL and relational databases

About Us

The human brain is the most complex object in the universe, yet society had accepted one-size-fits all approaches to cognition. The “solutions” (think coffee, energy drinks, and even a friend’s rx) were mediocre at best and frankly, made no sense to us. So, we created Thesis, the world’s first customized nootropics company. If you’ve never heard that word before, it’s just a fancy way of saying brain supplements. In five years, most will be taking nootropics on the daily and chances are, they’ll be ours.

With an exceptional efficacy rate, the world has taken notice — we’ve raised over $13M in venture capital, garnered interest from leading neuroscientists and athletes, and established ourselves as the industry’s leading brand. Now, we’re looking for incredible people to help us share the gift of enhanced cognitive function with the world. If you’re looking to be a part of a movement — one that involves both immense self-growth and an ambitious mission to pioneer an industry — we’d love to have you on the team.

This is a hybrid role in NYC. 3 days in office, 2 days WFH

About The Role

We are seeking a talented and experienced 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 130-150k, 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

Our Values:

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.