Data Scientist

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.

#LI-DN1

#LI-Hybrid

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