Nexxen

Data Scientist

Nexxen Bellevue, Washington, United States · $160K–$200K/yr

Advertising Services · 501-1,000 employees

Yesterday
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

You will collaborate with engineering and product teams to design and implement scalable machine learning pipelines and data-based solutions. Additionally, you will communicate complex technical findings to both technical and non-technical stakeholders.

What they look for

Python SQL Machine learning Statistical modeling Deep learning Data processing Neural networks TensorFlow PyTorch Spark PySpark Hypothesis testing Statistical analysis Scalable code Data science

Requirements

The role requires 6+ years of overall experience with at least 2 years specifically in data science, along with strong proficiency in Python, SQL, and machine learning frameworks. An advanced degree in a technical field such as Computer Science, Statistics, or Mathematics is highly preferred.

Benefits

Medical Dental Vision Disability insurance 401(k) EAP Parental leave Unlimited vacation Company-paid holidays

Full description

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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