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The Role We are looking for a Data Scientist who can leverage statistical tools, deep learning, and troves of marketi...

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Selected role

Data Scientist

Wpromote

$120k - $135k Senior Full-time

The Role
We are looking for a Data Scientist who can leverage statistical tools, deep learning, and troves of marketing data to build innovative, reproducible data solutions for our teams and clients. In this role, you’ll partner cross-functionally with Data Strategy, Engineering, Product, and Reporting Solutions to design machine learning workflows and statistical models that extract key insights from troves of marketing data. You may also work directly with clients to build them elegant solutions to their marketing problems.

Your solutions will scale as productized apps used by our industry-leading marketers to unlock new performance opportunities for our clients. You will have the opportunity to challenge the limits of what’s possible with data science and performance marketing, designing novel solutions through Time Series Analysis, Experimental Design, A/B Testing, Optimization, Reinforcement Learning, LLMs, etc.

At Wpromote, we believe that great work is only possible with great people. Our goal is to build a better, more inclusive work environment and support our people at every stage of their careers by prioritizing a strong work-life balance through our policies and benefits listed below. As a Best Place to Work according to both Ad Age and Glassdoor and Adweek’s Fastest Growing Digital Agency, we are moving fast to expand our teams and bring new experts into the fold to keep pushing the boundaries of what’s possible in marketing.

We offer:

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance
Annual Class Pass credits and more!

The anticipated annual salary for this role will range from $120,000 - $135,000, based on consideration of a wide array of factors unique to each candidate, including but not limited to skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and respective state’s salary threshold for exempt employees. The total compensation package for this role will include benefits (listed above) and an annual performance bonus.

This role has an associated annual target bonus component which is paid out based on a number of factors which include Company performance, department performance, and individual performance. Bonuses are not guaranteed and you must be an active employee in good standing and not on a Performance Improvement Plan to be eligible for the annual bonus.

This position may be performed remotely in most states within the US, with some exclusions
While this role offers the flexibility to work remotely, we have office hubs in Los Angeles, Chicago, and New York, where you can join in on learning and development opportunities, fun events, take advantage of a space to work, and collaborate in person!
This position is not eligible for immigration sponsorship

Important Notice: Beware of Job Scams
Wpromote recruiting communications will only be sent through our official channels via wpromote.com email addresses. If you see a posting elsewhere that is not reflected on Wpromote.com/careers, it may be a fraudulent posting. We do not require payment or fees during the hiring process nor do we request sensitive information, such as Social Security numbers or payment details. Please safeguard yourself against possible scams and contact us if you encounter any suspicious activity.

You Will Be

Working closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods
Designing, prototyping, and testing new products and data solutions
Developing scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources
Conducting incrementality tests and building Media Mix Models (MMMs)
Integrating scalable workflows into production environments by collaborating with software engineers
Maintaining data science and machine learning workflows by fixing bugs or improving model performance as needed
Articulating complex technical results and methodologies to internal stakeholders
Joining client meetings as needed to understand client data problems and propose innovative solutions
Proactively identifying issues, raising them to the team, and proposing and implementing effective solutions

You Must Have

Degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative discipline preferred
M.S. + 2 years of experience, or B.S. + 4 years of relevant experience
Strong programming skills in R, Python, and SQL
Professional experience within the digital advertising or MarTech field
Demonstrated success delivering data-driven products, including involvement across the full product development lifecycle
Deep understanding of statistical modeling and machine learning techniques
Experience with A/B testing (preferably geo-holdouts) and Media Mix Models (MMMs)
Strong working knowledge of large datasets, preferably within the digital marketing domain
Experience with cloud OLAP database platforms such as BigQuery and Snowflake
Strong communication skills with both technical and non-technical audiences
Ability to go beyond familiar algorithms and proactively explore new methodologies to solve business challenges
Genuine interest in contributing to a data-driven future in digital marketing within a fast-growing organization

Nice To Have

Solid knowledge of working with marketing and/or user acquisition data across a variety of industries
Working experience in developing and deploying to cloud providers such as AWS and Google Cloud Platform
An understanding of state-of-the-art machine learning algorithms and packages
Understanding of path, market basket, and clean room analyses
Familiarity with CI/CD and MLOps practices

Wpromote is committed to bringing together individuals from different backgrounds and perspectives, providing employees with a safe and welcoming environment free of discrimination and harassment. We strive to create a diverse & inclusive environment where everyone can thrive, feel a sense of belonging, and do impactful work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, family or parental status, disability*, age, veteran status, or any other status protected by the laws or regulations in the locations where we operate. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our workplace.

Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Wpromote.

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. For more information on E Verify, or if you believe that your employer has violated its E-Verify responsibilities, please contact DHS.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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