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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