At a Glance
- Tasks: Drive applied research initiatives to enhance machine learning for Unity's ad platforms.
- Company: Join Unity, a leader in tech innovation and community-driven solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on empathy, respect, and opportunity.
- Why this job: Make a real impact by shaping the future of advertising technology.
- Qualifications: PhD or equivalent experience in a technical field with machine learning expertise.
The predicted salary is between 60000 - 80000 £ per year.
The opportunity at Unity is driven by one overarching framework: Empathy, Respect, and Opportunity. In a collaborative, fast-growing environment, we are solving hard problems and enabling the success of our community. At Unity, you will make a difference. In the Unity Ads Applied Research team, we envision and build systems that help creators capture the value they build.
Come join Unity's Ads Applied Research team to help drive the overall Ads strategy for Unity's products and services. In this position, you'll be driving our applied research initiatives to improve the optimization and machine learning powering our ad networks, marketplace, and audience tools.
What you’ll be doing:
- Translate business problems into a design and implement advanced machine learning models and algorithms.
- Follow up on the latest machine learning research to improve Unity’s Ad platform Machine Learning capabilities.
- Form and validate hypotheses on new aspects of modeling and potency of new datasets for ML.
- Drive optimization hypotheses by analyzing the drivers for impactful machine learning and arguing the hypotheses and success for the next steps of development.
- Making requirements and communicating data and machine learning capability needs to the product and engineering teams.
- Driving the overall direction of machine learning future for Ads.
What we’re looking for:
- We are looking for a candidate with experience in guiding machine learning development via revolutionary steps to keep Unity Ads at the forefront.
- PhD in Computer Science, Mathematics, Statistics, or a related technical field or equivalent experience on interpreting and translating research to applications.
- Experience successfully taking research and turning it into concrete product innovations with impact.
- Expertise with modeling frameworks (e.g. Tensorflow, PyTorch) and understanding of model architectures and mechanisms.
- Ability to explain machine learning and interpret the modeling efficacy for further improvements.
- Capable of conducting analysis, statistics, and data literacy to deduct where the challenges and opportunities lie.
Senior Data Scientist - Applied Research in London employer: Unity Technologies
At Unity, we pride ourselves on fostering a culture of empathy, respect, and opportunity, making it an exceptional place for talented individuals like you to thrive. As a Senior Data Scientist in our Ads Applied Research team, you'll not only contribute to cutting-edge machine learning initiatives but also enjoy a collaborative environment that prioritises employee growth and innovation. With access to the latest research and the chance to drive impactful product innovations, Unity offers a unique opportunity to make a meaningful difference in the tech landscape while working alongside passionate professionals in a fast-paced setting.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Applied Research in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Unity Technologies!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Unity Technologies.
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We think you need these skills to ace Senior Data Scientist - Applied Research in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Unity Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Unity Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Unity Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Unity Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
