Data Scientist

Socket.dev; Bellevue (WA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Disability insurance

401(k)

EAP

Parental leave

Unlimited vacation

Company-paid holidays

Job summary

Socket.dev is hiring for a data science role based in Bellevue or New York, with a hybrid schedule three days in-office and two remote. You will work with data science, engineering, and product teams to build scalable data-driven solutions and ML pipelines. Strong Python/SQL skills and experience with TensorFlow or PyTorch are required.

The role demands 6+ years of experience and a MS/PhD in a technical field; competitive base salary with strong benefits and opportunities for growth are offered.

Qualifications

• 6+ years of overall experience in a technical field.
• 2+ years of work experience creating data science-based solutions.
• Curiosity and a growth mindset—actively seek new techniques, tools, and domains with concrete self-directed learning.
• Proactiveness and self-motivation—follow through without close supervision and contribute beyond your assignment.
• MS/PhD in Computer Science, Engineering, Statistics, or Mathematics preferred.

Responsibilities

• Develop and deploy groundbreaking data-based solutions to complex problems.
• Collaborate with data science teammates, engineers, and product experts to deliver solutions with impact on company performance.
• Design and implement scalable data science-based solutions, data processing, and ML pipelines.
• Write scalable and clean code.
• Collaborate with Engineering and Product teams to understand requirements and create optimal solutions.

Skills

Python

SQL

Data science

Education

MS/PhD in Computer Science, Engineering, Statistics or Mathematics

Tools

TensorFlow

PyTorch

Spark/PySpark

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.

Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are:

• 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.

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.

• 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.