Data Scientist

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.

• 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.

• 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.

• MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a related technical field.
• Mar Tech/AdTech experience preferred; expertise with AdTech SSPs is a strong plus.
• Experience in Neural Networks, Deep Learning, Tensor Flow, 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.

• Medical
• Dental
• Vision
• Disability insurance
• 401(k)
• EAP
• Parental leave
• Unlimited vacation
• 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.