Senior Data Scientist

Summary

Join Innovid's Optimize team as a Senior Data Scientist and be at the heart of innovation, working on high-impact projects and partnering with engineers, analysts, and product managers. You will use your expertise in data manipulation, exploration, and modeling to deliver valuable insights and solutions for clients. This role offers opportunities for growth and leadership, with potential for line management and project leadership responsibilities. Innovid provides a hybrid working experience with an office in Edinburgh, and remote work is considered. The ideal candidate will have 5+ years of experience, a relevant postgraduate degree, and proficiency in various data science tools and techniques. This is a chance to shape the direction of Innovid's products and the growth of its data team.

Requirements

• Post-graduate degree or advanced training in statistics, mathematics, computer science, or other highly quantitative field and minimum of 5+ years’ work experience (postdoctoral research incl)
• 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
• NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries
• Working knowledge of data structures, databases, and ETL processes
• Demonstrable history of devising and overseeing data-centered projects
• Must be proactive, self-motivated, and detail oriented
• Analytical and problem-solving skills shown through probing and asking relevant questions
• Able to learn quickly and juggle multiple projects with moving deadlines
• Strong written and verbal communication skills. Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork

Responsibilities

• Completing high impact projects from beginning to end, working autonomously with minimum supervision but high accountability. 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, tell a story through effective visualizations, and make recommendations to generate valuable solutions that meet our clients’ needs, often in combination with rich third-party datasets. Note: we will also consider candidates who are proficient in R
• Work within the common tech stack which includes (though may not be limited to) AWS, Snowflake, DBT, Jupyter notebooks, Spark, Mongo, and Postgres among others. Documentation and task tracking typically live in JIRA/Confluence
• Proactively engage in problem solving, fault finding, addressing issues in the data or approaches as they arise
• Communication (visual, verbal, and written) of findings to a variety of audiences including colleagues and clients, both technical and non-technical
• Mentor junior members of the team
• Proactively identifies and proposes strategies around team process improvements

Preferred Qualifications

• Knowledge of AWS environments and services would be beneficial
• Experience in either media/digital marketing or a consultancy with a marketing science environment would be highly valued

Benefits

• 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