Sr. Data Scientist
(Austin, TX or Remote)
You're looking to tackle complex problems, drive change, and help build the next generation of machine learning tools for detecting malicious and inauthentic behavior online. You want to collaborate with others, creatively solve problems, make decisions with conviction, and connect with a team that nerds out about the internet. You thrive in an environment of continual improvement, and you aren’t afraid to try new things and make mistakes with others. If this sounds like you, we want you on our team!
Yonder is an information integrity company on a mission to bring authenticity to the Internet. We use artificial intelligence and machine learning to help brands identify the groups that drive online conversations. Our technology unlocks the hidden map of the Internet.
We're looking for a Sr. Data Scientist with 3 or more years of experience in building products in partnership with software engineers. The ideal candidate will also have experience building and deploying machine learning software. This role will report to the CTO.
Most of our team is based in Austin, TX, but we are remote-first and encourage candidates in other areas to apply. Interviews for this role will be conducted remotely over video during Covid-19, for the safety of our employees and candidates.
The problem we are solving is complex and requires diverse voices and perspectives. We are united by our passion for an authentic internet, but we are empowered by the differences in how we think, how we live, and what we’ve experienced. We strongly encourage candidates with diverse backgrounds to apply to this role, especially from groups traditionally underrepresented in tech.
What You’ll Do:
In this high impact role, you will:
Work with data scientists, machine learning engineers, software engineers and product managers to formulate, research and implement machine learning solutions to detect and analyze inauthentic behavior online
Under collaboration with product managers, interpret and develop solutions to complex business problems using a range of techniques, such as statistics, machine learning techniques, and other methods
Identify opportunities to add customer value and use a broad and evolving Python machine learning stack to build proofs-of-concept and prototypes in support of these ideas
What You Have:
3+ years experience collaborating with teams of data scientists and software engineers to implement data science-enabled features in a commercial application.
Experience building scalable software products and data pipelines
Well-rounded knowledge of statistics, machine learning, and experimental design
Familiarity with state of the art ML research
Experience with a Python machine learning stack (e.g. tensorflow/keras, sklearn, pandas)
Comfort with exploring real-world data to uncover insights
Skills to communicate challenging technical problems to a non-technical audience
Skills to operate effectively in a fast-paced, complex business
Familiarity with Git, Docker and Snowflake
Experience with data visualization, interpretability, NLP, and exploratory analysis
Experience leading a team
What You’ll Get:
A team of dedicated and supportive colleagues
Encouragement to bring your whole self to work
Remote-first organization, with an office available in Austin if preferred (availability is dependent on Covid-19)
Market-leading salary and equity compensation
Coverage under best in class, flexible medical, vision and dental plans
401(k) with 100% company match up to 4% of salary and immediate vesting
Unlimited vacation that you’re encouraged to take
Paid parental leave
Monthly virtual social events
Austin, TX 78701