Data Scientist

Nexxen International; Bellevue, Northern (WA, KY); On-site; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Disability insurance

401(k)

Parental leave

Unlimited vacation

Company-paid holidays

EAP

Job summary

Nexxen International is seeking a data science leader to develop and deploy data-driven solutions. You will collaborate with data science teammates, engineers, and product experts to deliver impactful outcomes for the company.

The role emphasizes Python/SQL proficiency, ML pipelines, and scalable, clean code within a hybrid work setting based in Bellevue or New York.

Qualifications

• 6+ years of overall experience in data science or related field.
• 2+ years of work experience in creating data science-based solutions.
• Strong programming skills in Python, SQL, and other data science tools.
• Experience with machine learning pipelines and scalable solutions.

Responsibilities

• Develop and deploy groundbreaking data-based solutions to complex problems.
• Collaborate with data science teammates, engineers and product experts to produce solutions with direct impact on company performance.
• Design and implement scalable data science-based solutions, data processing, and machine learning pipelines. Write scalable and clean code.

Skills

Problem solving

Analytical thinking

Communication

Collaboration

Education

MS/PhD in Computer Science or related field

Tools

Python

SQL

TensorFlow

PyTorch

Spark/PySpark

scikit-learn (sklearn)

Keras

Job 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.

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.