The Role
Wpromote is hiring a Junior Data Scientist who loves solving problems with data and has strong math, logic, and communication skills. In this role, you’ll support data processing, model updates, and analytics reporting while learning advanced techniques that will grow your impact over time. You’ll collaborate with teams across Engineering, Reporting, Product, Paid Media, and Data Science, working with exciting clients in e-commerce, retail, and entertainment. If you’re detail-oriented, eager to learn, and ready to turn data into meaningful insights, we want to hear from you!
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:
-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 $88,000 - $100,000, based on a variety of factors unique to each candidate, including skill set, years and depth of experience, education and certifications, competitive benchmarks, scope of responsibility, market dynamics, geographic location, and the respective state’s salary threshold for exempt employees. At Wpromote, pay ranges are subject to change and are based on specific market medians for similar jobs according to third-party salary benchmark surveys. Individual pay within that range can vary due to skills, experience, and available budget. The total compensation package for this role will include benefits (listed above).
*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.
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You Will Be
Learning to transform, improve, and integrate data according to business requirements
Planning and scoping end-to-end data analysis projects by identifying the business problem and selecting appropriate investigative tests and solutions
Using SQL and BigQuery to combine and prepare datasets from multiple sources
Delivering data in a clear, useful, and visually appealing way to both technical and non-technical audiences
Maintaining existing media-mix models through directed retrains and reporting on performance changes
Organizing and collecting results from media-mix models, incrementality tests, clean rooms, and related analyses to support Wpromote’s culture of learning
Conducting guided marketing analyses to support client and internal needs
Supporting presentations through data pulls, ad-hoc analyses, and slide creation
Learning to automate data gathering, blending, and transformation processes
Collaborating across Engineering, Reporting, Product, Paid Media, and Data Science teams to understand and support client needs
You Must Have
Intermediate programming skills in R or Python for data cleaning, data modeling, pipeline development, API calls, and related tasks
Experience with statistical modeling, machine learning techniques, and LLMs
Intermediate SQL skills, including window functions, stored procedures, views, triggers, unions, CTEs, subqueries, and debugging
Advanced proficiency in Excel and/or Google Sheets
Experience with at least one BI platform (Looker, Tableau, Power BI, etc.) with the ability to learn others; Looker preferred
Experience or familiarity with version control tools such as Git or Bitbucket
Strong organizational skills with the ability to balance competing client requests and work with complex datasets while maintaining accuracy and meeting deadlines
Intermediate to advanced competency in statistics, probability, and linear algebra
Strong communication skills, including experience creating and delivering presentations and executive summaries
Demonstrated critical thinking skills—the ability to analyze numbers, trends, and data to form meaningful insights
Interest or passion for marketing analytics and/or a personal project portfolio
Associate’s degree, bootcamp certification, or practical work experience in a quantitative field (Statistics, Mathematics, Computer Science, Information Technology, Economics, Engineering, etc.)
Nice To Have
Bachelor’s degree or higher in a quantitative field
Exposure to marketing analyses such as media-mix models (MMM), incrementality testing, CAC, and lead scoring
Experience with analytics software, such as Google Analytics and Adobe Analytics
Familiarity with clean room environments (FBAA, AMC, Google ADH)
Experience with cloud computing (AWS, GCP, Azure, etc.)
