At a Glance
- Tasks: Join a dynamic team to analyse data and drive impactful advertising solutions.
- Company: Innovid, a leader in advertising analytics with a collaborative culture.
- Benefits: 35 days holiday, private medical insurance, and unlimited office snacks.
- Other info: Enjoy hybrid working and excellent career development opportunities.
- Why this job: Make a real impact using one of the largest datasets in the industry.
- Qualifications: Degree in a data-related field and 2 years of data science experience.
The predicted salary is between 50000 - 70000 £ per year.
We’re looking for a Data Scientist to join Innovid’s Research, Analytics & Data Team. Working alongside our data science leads, data scientists, analysts and engineers you’ll contribute to data-driven projects across the business. With access to one of the largest & richest datasets in the industry, you will have the opportunity to deliver data science solutions with impact in areas such as the effectiveness of advertising and the optimisation of dynamic creatives.
We need someone who can work across the data science process, from requirements gathering and idea generation, through data wrangling, exploratory analysis, modeling and support for implementation. This person will demonstrate a growth mindset and have the opportunity to develop their skills through teamwork, feedback and self-directed learning.
The Impact You'll Make:
- Collaborate on high-impact projects from beginning to end, working with autonomy and accountability.
- Support team leads and senior colleagues to scope & stage work into well-defined milestones; make accurate timeline estimates and deliver to those estimates.
- Use SQL and/or Python (Jupyter Notebooks) to prepare data, perform exploratory data analysis, evaluate different modeling approaches.
- You’ll proactively engage in problem-solving, fault-finding, addressing issues in the data or approaches as they arise.
- Build narratives through effective visualization and make solution recommendations that meet our clients’ needs.
- Work within the common tech stack which includes Jupyter notebooks, Snowflake, and AWS.
- You’ll keep track of projects, tasks and documentation using the Atlassian suite, JIRA/Confluence.
- You’ll communicate findings, with a focus on business impact, to a variety of audiences both technical and non-technical.
What You'll Bring to Us:
- Highly numerate and educated to degree or postgraduate (MSc) in a data related field.
- Minimum 2 years experience working as a data scientist - experience across a number of areas in the data science process: defining problems (and criteria for success), data wrangling, EDA, modeling (including but not limited to ML), interpreting results, and providing relevant insights.
- Knowledge of advanced statistical and analytical techniques and concepts such as sampling methods, regression, properties of distributions, weighting sample-based data, statistical tests and proper usage, etc. and experience with real-world applications.
- Experience in Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries.
- Working knowledge of SQL, data structures and databases (Snowflake - desirable).
- Strong written and verbal communication skills.
- Knowledge of AWS environments and services would be beneficial.
What we will offer you:
- 35 days holiday (including public holidays).
- Pension plan.
- Employee Assistance Programme.
- Life insurance.
- Cycle to Work Scheme.
- Private medical insurance with Vitality.
- Training & Development sessions with our in-house L&D Platform.
- Unlimited office snacks.
- Hybrid working model & good work-life balance.
- RSU's (Restricted Stock Units) plan.
- Offices in major cities around the world and a cross-company collaboration unlike anywhere else.
Data Scientist: Advertising Analytics & Growth Impact employer: Innovid
At Innovid, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data Scientist in our Research, Analytics & Data Team, you'll have access to one of the industry's largest datasets, enabling you to make a significant impact on advertising effectiveness and creative optimisation. With a strong emphasis on employee growth through training, feedback, and a hybrid working model, we offer a supportive environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist: Advertising Analytics & Growth Impact
✨Tip Number 1
Network like a pro! Reach out to current employees at Innovid or similar companies on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving SQL and Python. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data wrangling and modelling techniques. Practise explaining your thought process clearly, as you'll need to communicate complex ideas to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Innovid.
We think you need these skills to ace Data Scientist: Advertising Analytics & Growth Impact
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with data wrangling, exploratory analysis, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us about your passion for data science and how you’ve tackled challenges in previous roles. Don’t forget to mention your experience with SQL and Python, as these are key for us.
Showcase Your Projects:If you’ve worked on any cool data science projects, make sure to include them! Whether it's through GitHub or a portfolio, we love seeing practical applications of your skills. It gives us a better idea of your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Innovid!
How to prepare for a job interview at Innovid
✨Know Your Data Science Process
Make sure you can confidently discuss each step of the data science process, from requirements gathering to implementation. Be prepared to share examples of how you've tackled similar projects in the past, especially focusing on your problem-solving skills and how you’ve used SQL or Python in real-world applications.
✨Showcase Your Technical Skills
Brush up on your knowledge of Python libraries like NumPy, Pandas, and scikit-learn, as well as your SQL skills. During the interview, be ready to demonstrate your understanding of these tools through practical examples or even coding challenges, as this will show your hands-on experience and technical prowess.
✨Communicate Effectively
Since you'll be presenting findings to both technical and non-technical audiences, practice explaining complex concepts in simple terms. Use storytelling techniques to build narratives around your data insights, making sure to highlight the business impact of your work.
✨Embrace a Growth Mindset
Demonstrate your willingness to learn and adapt by discussing how you’ve sought feedback in previous roles. Share specific instances where you’ve taken initiative to develop your skills or overcome challenges, as this aligns perfectly with the growth mindset that Innovid values.
