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 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. 

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