Senior Data Scientist (Edinburgh)
Edinburgh, UK
Innovid
Innovid (NYSE:CTV) powers advertising delivery, personalization, measurement and outcomes across linear, CTV and digital for the world’s largest brands. Through a global infrastructure that enables cross-platform ad serving, data-driven creative, and currency-grade measurement, Innovid offers its clients always-on intelligence to optimize advertising investment across channels, platforms, screens, and devices. Innovid is an independent platform that leads the market in converged TV innovation, through proprietary technology and exclusive partnerships designed to reimagine TV advertising. Headquartered in New York City, Innovid serves a global client base through offices across the Americas, Europe, and Asia Pacific. To learn more, visit innovid.com or follow us on LinkedIn or Twitter.
We’re looking for a Senior 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 with experience 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:
-
Take a leading role in high-impact projects from beginning to end, working with autonomy and accountability
-
Work with team leads 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 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 5 years experience working as a data scientist - broad experience across 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
-
Good knowledge of SQL, data structures and databases (Snowflake - desirable)
-
Strong written and verbal communication skills
-
Knowledge of AWS environments and services would be beneficial
-
A collaborative approach and a willingness to guide junior colleagues
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.
There is no such thing as the perfect resume, or someone that checks every box. At Innovid, we are generous with our time and knowledge, and always ready to teach. So however you identify and whatever background you bring with you, please apply if this is a role that would make you excited to come into work every day and add to Innovid.
Equal Opportunity Employer: Innovid is an equal opportunity employer, committed to our diversity and inclusiveness. We consider all qualified applicants regardless of race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply. We are actively working to be an anti-racist organization. We're committing to creating an inclusive and equitable workplace for all of our employees. You can read more about our commitment to DEI here.
If you are located within the EEA and subject to GDPR or are a California resident subject to the California Consumer Privacy Act, click here to understand how Innovid processes your personal information and how you can exercise your rights.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Confluence Data analysis EDA Jira Jupyter Machine Learning NumPy Pandas Privacy Python Research Scikit-learn SciPy Snowflake SQL Statistics
Perks/benefits: Career development Flex vacation Health care Insurance Startup environment Unlimited paid time off
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Lead Data Analyst jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Kubernetes-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs