Tags: jd streamlit DataScientist ManagerialRole
[2021-10-11 Mon 10:36]
About Streamlit
Streamlit is the fastest way to build and share data applications. We’re a collaborative team of technologists who share a common goal to give the data community superpowers that let them project their creativity, intelligence, insights, and influence out into the world. We’re well funded with great investors, and we’re building the future of data and looking for engineers to join our family-friendly and remote-first startup. The team is comprised of folks from a variety of backgrounds with experience at Google, Heroku, Facebook, Twitter, Carnegie Mellon, and Stanford. And some of us didn’t go to school or work anywhere fancy. We don’t care where you went to school or where you worked before, just that you’re excited to help make an amazing experience for building data apps.
Our values
We’re a values-driven company and you can find them on our [[1][careers page]]!
What you’ll do
This is a ground-floor opportunity to build a premier data practice at Streamlit, itself a leading data tooling company. We favor player-coaches who can get dirty and perform analyses, as well as hire and inspire others to do so for them.
- Help us make data-driven decisions. Provide high quality, actionable data to other members of the group.
- Help us improve Streamlit itself! Work with the CEO and the product team to test new Streamlit features and concepts in our own data infrastructure.
- Hire a team of "A player" data scientists and engineers to provide high quality, actionable data to our product, marketing, and sales teams.
- Build a culture of foundational data excellence to ensure that Streamlit has well documented, performant, and rational data infrastructure across all our tools (Python, Github, SQL, DBT, BigQuery?, Palumi, Spot, Heap, Google Analytics, Segment).
- Select and manage data science vendors and consultants to help with individual analyses and data infrastructure projects.
- Contribute to the strategic direction of Data Science at Streamlit. Help develop a strategic architecture for data science at Streamlit. Perform strategic visioning exercises with your team and with execs. Participate in quarterly OKR planning.
- Manage well. Run tight meetings. Help develop your subordinates’ careers. Provide cogent synthesis of your team’s activities to senior executives. Pay close attention to individual productivity and motivation.
- Act as a role model. Hold yourself to the highest ethical and empathetic standards. Model Streamlit’s values throughout the company.
It’s important to us that you have…
- Ability to hire and manage a happy, high-performing, and process-oriented team.
- Proficiency in Python, Streamlit (have built and deployed at least one app), SQL, DBT, Numpy, and Pandas.
- (Bonus: Scikit-Learn, Pytorch, Altair, Prophet)
- Statistical expertise up to a mid-level data scientist, such as using common Python libraries to perform statistical tasks such regression, classification, unsupervised clustering, dimension reduction, visualization, and various standard computer vision and NLP tasks.
- Data knowledge: experience with data collection, annotation, cleaning, and wrangling.
- Understanding of machine learning: be able to hire and understand a true machine learning engineer, evaluate model complexity, understand feature engineering, feature management, model deployment, etc.
- An affinity for beautiful presentation. We’re huge data vis nerds at Streamlit 🤓 and we want everything to look nice and have lots of emojis. 🐔
What we offer
Stock Options, Medical, Dental, Vision, 401K, Flexible Spending Account (FSA), Unlimited PTO, Benepass, Commuter Benefits, Work from Home Stipend, Parental Leave, and Education Reimbursement.
We are an equal opportunity and family friendly employer and we highly value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.