
201 - 500 employees
Founded 2009
📱 Media
💰 Private Equity Round on 2018-11
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.
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201 - 500 employees
Founded 2009
📱 Media
💰 Private Equity Round on 2018-11
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.
• Typically after a year of on the job training, a Data Scientist 3 on the Technical Services team is able to: • Work closely with Data Engineers and Data Scientists to implement strategic engineering proof of concepts and contribute to technology strategy and engineering roadmaps • Work with clients and internal partners throughout the organization to identify and execute upon opportunities for demonstrating marketing data to drive business solutions • Identify new solutions that positively impact internal our customers and internal operations • Work with the Research Development and Innovation team to develop cutting edge solutions that drive efficiencies, savings or revenue • Audit existing datasets for accuracy, reliability and consistency • Work with 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 • Run technical projects including scope, schedule and resources, tracking progress to ensure successful delivery of project deliverables on time and on budget • Oversee work completed by junior team members to ensure timely delivery and quality of work, guiding them to implement standard methodologies in solution development and client relationships • Support digital analytics implementations with broad understanding of tag management, HTML and JavaScript on websites • Develop applications (visualization, routing data, cleaning data, access to data, interacting with data) for analytics pipelines • Lead and drive projects assigned to completion with attention to detail and high quality • Provide technical and developmental support to senior level mentees • Establish long term relationships with customers in order to gain and cultivate trust (become their Trusted Advisor) • Provide career development suggestions and support to mentees • Assist management in team meetings and team planning exercises • Communicate goals and deadlines to team members • Assist team in meeting monthly KPIs • Assist with team resourcing needs and planning • Assist with hiring new team members • Assess team performance and provide feedback • Other duties as assigned
• College degree in Computer Science, Information Science or related field preferred - OR - successful completion of code school program combined with experience in data science • Advanced skills 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 ability to solve complex problems with on-time delivery, the highest quality, and creativity in the approach • Experience with and desire to mentor and encourage growth in junior team members • Ability to listen and understand business needs and creatively develop solutions • Ability to work on a team and manage individual prioritize workload • Experience leading fast paced and flexible technical teams • Expert in understanding and communicating complex technical solutions and concepts to all levels within a client's organization • Strong desire to become a proficient Data Scientist for a fast paced company.
• 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
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