Data Scientist

Reposted 3 Days Ago
Bellevue, WA, USA
Hybrid
160K-200K Annually
Senior level
AdTech • Big Data • Digital Media • Marketing Tech • Social Media
Who is Nexxen? A growing, publicly traded Adtech powerhouse! Flexible advertising, unified by data.
The Role
Design, implement, and deploy scalable data science and machine learning solutions. Collaborate with engineers and product teams to build pipelines, write clean code, perform statistical analysis, and communicate technical findings to technical and non-technical stakeholders.
Summary Generated by Built In

What you’ll do:
You will be an integral part of a team developing and deploying groundbreaking
data-based solutions to complex problems. You’ll collaborate with data science
teammates, talented engineers and product experts to produce solutions with
direct impact on company performance.
This role will be based in the Bellevue or New York office. Our team follows a hybrid schedule working in-office three days a week and remotely for the rest. This is an exempt position.

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:

 

Job Description
With experience in data science, machine learning, statistical modeling, and/or
deep learning you will bring a passion for problem-solving, turning data into
actionable insights, and collaboration with supporting teams.
Strong programming skills in Python, SQL, and other data science tools are essential.
Communicate technical concepts and findings to both technical/non-
technical team members
Collaborate with Engineering and Product teams to understand product
requirements and help create optimal/scalable solutions
Help design and implement scalable data science-based solutions, data
processing, and machine learning pipelines
Write scalable and clean code

What you’ll bring
Education in Computer Science, Engineering, Statistics, Mathematics, or a
related technical field with 6+ years of overall experience
2+ years of work experience in creating data science-based solutions
Genuine curiosity and a growth mindset – you actively seek out new
techniques, tools, and domains beyond your current role and can point to
concrete examples of self-directed learning
Proactiveness and self-motivation – you follow through on tasks without
needing close supervision, ask good questions when blocked, and look for
ways to contribute beyond your immediate assignment

Creative problem-solving and analytical skills with experience in statistical
analysis and hypothesis testing
Excellent verbal and written communication skills to present complex data
findings to technical and non-technical stakeholders
Significant experience with SQL, Python, and machine learning packages
(e.g., sklearn, keras)
Experience in implementing machine learning pipelines
What we would like to see
MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a
related technical field
MarTech/AdTech experience preferred; expertise with AdTech SSPs is a
strong plus.
Experience in Neural Networks, Deep Learning, TensorFlow, and/or
PyTorch
Experience with Spark/PySpark
Experience with latency-sensitive scalable machine learning models

In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $200,000 the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have.

 

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For information about how we handle your personal information please view our Applicant and Candidate Privacy Notice
Important Notice from Nexxen: Your Safety Matters

At Nexxen, we care about the well-being of our current and future employees. We are aware of the growing number of online scams and fraudulent job postings, and we urge all job seekers to remain vigilant. Please be advised that Nexxen will never request payment (whether in cash, cryptocurrency, or any other form) as a condition of employment, offer positions that require you to invest in vague or dubious financial schemes, or promote roles that resemble get-rich-quick opportunities. If you receive a suspicious message claiming to be from Nexxen or encounter a questionable job posting associated with our name, please contact us at [email protected] to verify its legitimacy. Your trust is important to us. Stay safe and informed.

Nexxen Fraud Alert and Notice: Protect Yourself from Impersonation and Fraudulent Activity

Skills Required

  • Education in Computer Science, Engineering, Statistics, Mathematics, or related technical field with 6+ years of overall experience
  • 2+ years of work experience creating data science-based solutions
  • Strong programming skills in Python
  • Significant experience with SQL
  • Experience with machine learning packages (e.g., sklearn, Keras)
  • Experience implementing machine learning pipelines and scalable data processing
  • Experience in statistical analysis and hypothesis testing
  • Excellent verbal and written communication skills
  • Genuine curiosity, growth mindset, proactiveness, and ability to work with limited supervision
  • MS/PhD in Computer Science, Engineering, Statistics, Mathematics or related field
  • MarTech/AdTech experience; expertise with AdTech SSPs
  • Experience in Neural Networks/Deep Learning and frameworks such as TensorFlow or PyTorch
  • Experience with Spark/PySpark
  • Experience with latency-sensitive, scalable machine learning models

Nexxen Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nexxen and has not been reviewed or approved by Nexxen.

  • Healthcare Strength Health coverage includes medical, dental, vision, disability, and life insurance, complemented by wellness programs and mental health support. Some descriptions reference multiple plan options and instances where premiums for a high‑deductible plan are covered.
  • Leave & Time Off Breadth Time off offerings span flexible vacation, paid holidays, sick days, summer hours, parental leave, and paid volunteer time. These elements contribute to a broadly supportive work‑life structure, with specifics varying by role and location.
  • Wellbeing & Lifestyle Benefits Perks include commuter benefits, fitness stipends, pet‑friendly offices, free snacks and drinks, and wellness resources. These lifestyle benefits complement core coverage and support a balanced employee experience.

Nexxen Insights

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The Company
HQ: New York, NY
870 Employees
Year Founded: 2005

What We Do

Who is Nexxen? We can be a one-stop shop for everything digital media advertising. Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform (“DSP”) and supply-side platform (“SSP”), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions.

Why Work With Us

We’re a fast growing, publicly traded organization (NOT a start up) in the programmatic digital media space. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up th

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