At a Glance
- Tasks: Develop innovative AI tools for marketing, focusing on Generative AI and LLMs.
- Company: Join a forward-thinking team at Known, leading the way in advanced advertising.
- Benefits: Enjoy unlimited PTO, 401k matching, annual bonuses, and generous medical plans.
- Other info: Collaborative environment with opportunities for mentorship and career growth.
- Why this job: Make a real impact by applying cutting-edge AI to solve marketing challenges.
- Qualifications: STEM degree preferred; experience with Generative AI and strong analytical skills required.
The predicted salary is between 88000 - 104000 £ per year.
Known’s Channel Data Science team is a group of data scientists embedded in our media buying practice to translate the domain knowledge we gain from running media for our clients to smart tools that push the limits of advanced advertising. Our work includes predictive modeling/optimization, building workflow automation apps, and the pioneering application of Generative AI for novel marketing solutions— all in the service of making our work less repetitive and manual, more optimized, and seeking better outcomes for our media activation and media consulting clients.
We are seeking a Data Scientist who can understand the core business objectives of our internal teams and our clients, and ideate, design, and develop innovative tools leveraging text-based Large Language Models (LLMs) and other Generative AI techniques. While experience in media is a plus, a passion for applying cutting‑edge AI to marketing challenges is crucial. A significant focus of this role will be to champion and implement Generative AI initiatives. In this role more generally, you will work with, and guide (for senior levels) other data scientists on a variety of projects, interface with our other teams at Known, and drive forward some of our most difficult and innovative data science projects, particularly those harnessing the power of LLMs.
Responsibilities
- Explore, develop, and deploy Generative AI (specifically LLM‑based) tools for marketing applications, such as content ideation/generation, audience persona creation, automated reporting with natural language summaries, campaign strategy assistance, and enhanced customer insights.
- Develop new techniques (e.g., traditional ML models, optimization algorithms, LLM fine‑tuning, prompt engineering strategies, and automation) to improve Known IP and create tools for Known’s clients.
- Work with other data scientists and engineers to productionalize new tools, including GenAI‑powered applications.
- Stay current with advancements in Data Science and AI and identify opportunities for their application in the marketing domain.
Qualifications
- A Bachelors, Masters or PhD from a well‑regarded college or university. STEM degrees (e.g., Statistics, Economics, Data Science, Mathematics, Computer Science) are preferred.
- Hands‑on experience doing quantitative analysis, statistical modeling, optimization and/or machine learning.
- Proven experience in developing and deploying solutions using Generative AI, particularly text‑based Large Language Models (e.g., experience with APIs like OpenAI’s, or open‑source models).
- Experience utilizing Python and SQL.
- Experience building data science software or analytical workflows.
- Experience in advertising or advertising technology is a strong plus, especially if combined with GenAI application in this domain.
- 2+ years (with Masters/PhD) or 3+ years (with Bachelors) of relevant experience.
- 1+ years of experience building data science software, ideally including applications leveraging AI/ML models.
- Academic projects, internships, or personal projects demonstrating application of modeling techniques preferred.
Skills, Abilities, and Knowledge
- Superb communication and presentation skills.
- An ability to translate business challenges into quantitative problems, and solve them by whatever means necessary, which may not always be strict machine learning.
- Strong understanding of LLM capabilities, limitations, ethical considerations, and the evolving landscape of Generative AI technologies.
- Proven ownership of projects taken to completion.
- A commitment to managing the quality & accuracy of analytics, ensuring high standards with your and others’ work.
- Experience working on a tech team, with experience in cloud technologies, version control, etc.
- Experience in advertising or advertising technology is a plus.
Competencies
- Ability to prioritize time, work and effort while multitasking on multiple projects.
- Desire to mentor and teach others.
- Collaborative attitude.
- Self‑motivated and exhibits initiative.
- Willing & able to learn quickly.
- Abundant intellectual curiosity and integrity.
Perks
- Unlimited paid time off.
- 401k with company matching and no vesting period.
- Annual bonuses.
- Generous medical plan.
- Paid parental leave.
Salary
Base salary for this position is $110K – $130K. This range is posted in compliance with state and municipal Pay Transparency laws. In addition to base compensation, this role is eligible to receive additional Known benefits.
EEO Statement
Known is an equal opportunity employer and does not discriminate against employees or qualified job applicants on the basis of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or locally protected class.
Data Scientist (Generative AI Focus) employer: twentysix
Known is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about leveraging Generative AI in marketing. With unlimited paid time off, a generous medical plan, and a commitment to employee growth through mentorship and collaboration, we empower our Data Scientists to push the boundaries of advanced advertising while enjoying a supportive environment. Located in a vibrant area, our team thrives on creativity and cutting-edge technology, making it an ideal place for professionals eager to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist (Generative AI Focus)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with data science communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Generative AI and LLMs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. We want to see how you can translate data into actionable insights!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Known and contributing to innovative projects.
We think you need these skills to ace Data Scientist (Generative AI Focus)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Generative AI and data science. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or achievements!
Show Your Passion:Let us know why you’re excited about applying cutting-edge AI to marketing challenges. Share any personal projects or experiences that demonstrate your enthusiasm for the field—this can really make your application stand out!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at twentysix
✨Know Your Generative AI Inside Out
Make sure you brush up on your knowledge of Generative AI, especially text-based Large Language Models. Be ready to discuss how you've applied these technologies in past projects or how you envision using them in marketing applications.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to translate business challenges into quantitative problems. Think of specific examples where you've tackled complex issues using data science techniques, and be ready to explain your thought process.
✨Familiarise Yourself with the Company’s Work
Research Known’s media buying practices and their approach to data science. Understanding their tools and methodologies will help you align your answers with their objectives and show that you're genuinely interested in their work.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and machine learning models. Brush up on your coding skills and be prepared to solve problems on the spot, as this will showcase your hands-on experience and technical prowess.