Data Scientist

Job not on LinkedIn

November 7

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+22 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

💵 $95k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

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Adswerve, Inc.

WebsiteLinkedInAll Job Openings

Advertising • Consulting • Media

Adswerve, Inc. is a data, media, and tech consultancy that specializes in digital marketing strategies, data management, and media optimization. Known for its advanced client technology platform, Adswerve Connect, the company empowers brands and agencies to unlock the full potential of their advertising campaigns through innovative data-driven solutions. As a leading Google Marketing Partner and an Adobe Solution Partner of the Year, Adswerve provides consulting, implementation, and personalized media management services to enhance customer experiences and drive measurable results.

201 - 500 employees

Founded 2009

📱 Media

💰 Private Equity Round on 2018-11

📋 Description

• 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

• 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

• 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