Data Scientist

Adswerve, Inc.

Data Scientist at Adswerve collaborating on marketing data analytics solutions. Join a team focused on maximizing ROI for digital strategies across major brands.

Posted 6/15/2026full-timeRemote • Arizona, Colorado, Connecticut, Florida, Illinois, Iowa, Kansas, Maryland, Minnesota, Missouri, Montana, New Jersey, New Mexico, North Carolina, Pennsylvania, Tennessee, Texas, Utah, Virginia, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $95,000 - $115,000 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureBigQueryCloudGoogle Cloud PlatformJavaScriptPythonSQL

About the role

Key responsibilities & impact

Collaborate closely with Data Engineers to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps
Collaborate with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions
Audit existing datasets for accuracy, reliability and consistency
Advise senior team members to identify data models and algorithms to apply to unique client problems
Increase and optimize user experiences, revenue generation, ad targeting and other business outcomes using predictive modeling and other advanced analysis techniques
Coordinate with internal and client data engineering teams to implement models and supervise outcomes
Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites
Develop and test applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines
Other duties as assigned

Requirements

What you’ll need

College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science
Skilled with SQL and Python for advanced analysis required
Experience with Google BigQuery or Google Cloud Platform (GCP), AWS or Azure tools as they relate to big data
Machine Learning Framework experience
Familiar with how JavaScript is used for websites
Proven track record to solve complex problems with timely delivery, the highest quality, and creativity in the approach
Ability to listen and understand business needs and creatively develop solutions
Ability to work on a team and manage individual prioritize workload
Strong desire to become a proficient Data Scientist for a fast paced company

Benefits

Comp & perks

Medical, dental and vision available for employees
Paid time off including vacation, sick leave & company holidays
Paid volunteer time
Flexible working hours
Summer Fridays
“Work From Home Light” days between Christmas and New Year’s Day
401(k) Plan with 5% company match and no vesting period
Employer Paid Parental Leave
Health-care Spending Accounts
Dependent-care Spending Accounts
Employer Paid Basic Life Insurance
Voluntary Life Insurance (Employee/Spouse/Child)
Employer Paid Short & Long Term Disability
Employee Assistance Program (EAP)
Continuing Education Reimbursement
Employee Referral Bonus Program
Monthly Remote Work Stipend
New Hire Office Equipment Reimbursement

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonMachine LearningPredictive ModelingData VisualizationData CleaningData AccessData InteractionHTMLJavaScript

Soft Skills

Problem SolvingCreativityTeamworkTime ManagementCommunicationListeningUnderstanding Business NeedsPrioritizationCollaborationAdaptability