Senior Data Scientist, Tremor Video

Demand Side Platform, Adtech

$160-210k

With the potential of an incentive or bonus

SQL

Python

Scala

Tensorflow

Spark

PyTorch

Senior and Expert level

New York

Video marketing platform

Be an early applicant

Video marketing platform

501-1000 employees

B2BMarketplaceMarketingDigital MediaAdvertising

Be an early applicant

$160-210k

With the potential of an incentive or bonus

SQL

Python

Scala

Tensorflow

Spark

PyTorch

Senior and Expert level

New York

501-1000 employees

B2BMarketplaceMarketingDigital MediaAdvertising

Company mission

Nexxen's mission is to empower brands to captivate and activate the audiences that matter most through its end-to-end CTV and video marketing self-serve platform.

Job

Company

Role

Who you are

We’re looking for a self-directed, analytical, and curious Senior Data Scientist with 5+ years of hands-on experience to join our team working on the core optimization and bidding logic of the Nexxen Demand-Side Platform (DSP)
Masters/Ph.D. in a quantitative field such as Operations Research, Mathematics, Statistics, Industrial Engineering, Mechanical Engineering, Physics, or related field
5+ years of experience in a data science or applied machine learning role, ideally in a high-scale, real-time environment
Proficient with applied machine learning techniques (classification, regression, evaluation metrics, etc.), especially tree-based models like XGBoost
Comfortable navigating large, complex legacy codebases and proposing changes to production systems
Strong programming skills in Python, and SQL
Experience with Scala/Apache Spark for distributed data processing and machine learning at scale
Familiar with Deep Learning using frameworks such as PyTorch/Tensorflow
Strong written and verbal communication skills — able to synthesize technical findings into clear, actionable insights
Self-directed, curious, and able to thrive in a fast-paced and evolving industry

What the job involves

You will work on problems at the intersection of machine learning, large-scale data processing, and ad delivery performance
Your work will directly impact how we bid, win, and optimize impressions across real-time programmatic advertising exchanges
Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:
Design, implement, evaluate and help deploy machine learning models for bidding, pacing and KPI prediction (Click, Action, Viewability etc.)
Analyze large-scale behavioral and performance data using Spark (Scala/PySpark), SQL, and Python
Deep dive into complex, legacy codebases; you should be comfortable navigating and improving existing systems
Collaborate with product managers, engineers, and other data scientists to define problems and deliver end-to-end solutions
Write clear, concise technical documentation and communicate insights effectively across both technical and non-technical stakeholders

Our take

Video has been an invaluable marketing tool for businesses since the beginning of TV advertisement, but modern technology has dramatically changed how such content is consumed. On-demand omnichannel streaming services and CTV has provided unique opportunities for advertisers to develop their audience engagement strategies, but without the appropriate technology platform, this can be difficult to navigate.

Nexxen provides an end-to-end self-service CTV & video marketing platform, helping to provide businesses with the appropriate engagement tools to future-proof their video marketing. The platform includes AI-driven analytic tools based on audience data, marketplaces for the self-serving of media for campaigns, in addition to analytic tools to assess the success of campaigns in real-time.

Whilst several other start-ups provide either video engagement tools or self-serve video marketing marketplaces, Nexxen has taken the smart angle of combining both into a single platform, whilst specializing in futureproofing companies for the rise in CTV engagement demands. The company aims to save clients money, time, and operational complexity by unifying where they operate their video advertisement campaigns into a single platform.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

-29% employee growth in 12 months

Glassdoor (4.2)

Company

Funding (last 2 of 7 rounds)

Sep 2011

$37m

LATE VC

Apr 2011

$3.8m

SERIES A

Total funding: $120.2m

Company benefits

Comprehensive health benefits
Flexible Time Off policy
Matching 401k plan
Commuter Benefits Plan

Company HQ

Theater District, New York, NY

Leadership

Ofer Druker

(CEO)

CEO and co-founder of Matomy Group since 2011, and of AdsMarket since 2007.

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