Who is Nexxen?
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 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 the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.
Who is Nexxen?
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 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 the Nexxen Way – the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego.
What you’ll do:
Are you a data-driven innovator ready to tackle massive-scale challenges? We're seeking a Senior Data Scientist to join our high-performing team in Bellevue, WA. You'll spearhead the development and deployment of groundbreaking data solutions, collaborating with talented engineers and product experts to transform complex problems into elegant solutions. You'll process and analyze hundreds of billions of data points daily, uncovering actionable insights. By exploring and implementing state-of-the-art technologies, you'll stay ahead of the curve.
With proven experience in data science, machine learning, and statistical modeling, you'll bring a passion for problem-solving and a knack for turning data into actionable insights. Strong programming skills in Python, SQL, Node.js, Spark and other relevant tools are essential, as is a collaborative mindset and a desire to work in a fast-paced, agile environment.
Join us and make a significant impact, contributing to groundbreaking data initiatives. Enjoy a work schedule that balances work and life, work with the latest tools and techniques, and collaborate with a team of brilliant minds who are passionate about data.
Each day can be different here at Nexxen, but some of the things you can expect to be doing are:
- Design and implement scalable data science-based solutions, data processing, and machine learning pipelines.
- Perform model optimization and data evaluation, continually researching and developing new methodologies to improve the quality and usability of the data.
- Collaborate with other Engineering and Product teams to understand product requirements and create optimal strategies/scalable architectures which can support future iterations.
- Communicate technical concepts and findings to both technical/non-technical team members.
- Write scalable and clean code.
What You'll Bring:
- Education in Computer Science / Engineering or a related technical field with 7+ years of overall experience.
- 5+ years of work experience in building production-level data science-based solutions.
- Ad-tech knowledge
- Experience in implementing machine learning pipelines.
- 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.
What we would like to see:
- MS/PhD in Computer Science / Engineering or a related technical field
- Experience with latency-sensitive scalable machine learning models.
- Experience with Python, Spark, SQL, Node.js
- Experience with machine learning packages.
At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don’t match this job description perfectly, don’t worry! We would rather see your application than risk missing out on your potential to make an impact.
In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at 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-KN1
#LI-Remote
Top Skills
Nexxen Boston, Massachusetts, USA Office
Boston, MA, United States, 01803
Similar Jobs
.png)
.png){kind=logo}
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
