Data Scientist

This is a fully remote position, open to applicants in Arizona, +19 more states.

📋 Description

• Work in close collaboration with Data Engineers to execute strategic engineering proof of concepts and assist in developing technology strategies and engineering roadmaps.

• Partner with clients and internal stakeholders across the organization to pinpoint and act on opportunities for showcasing marketing data to enhance business solutions.

• Conduct audits on existing datasets to ensure accuracy, reliability, and consistency.

• Provide guidance to senior team members in identifying suitable data models and algorithms for addressing unique client challenges.

• Enhance and optimize user experiences, revenue generation, ad targeting, and other business outcomes through predictive modeling and advanced analysis techniques.

• Collaborate with internal and client data engineering teams to implement models and oversee their outcomes.

• Assist in digital analytics implementations with a comprehensive understanding of tag management, HTML, and JavaScript on websites.

• Create and test applications (visualization, data routing, data cleaning, data access, data interaction) for analytics pipelines.

• Perform additional duties as assigned.

⛳️ Requirements

• A college degree in Computer Science, Information Science, or a related field is preferred - OR - successful completion of a coding school program combined with experience in data science.

• Proficiency in SQL and Python for advanced analysis is required.

• Experience with Google BigQuery or Google Cloud Platform (GCP), AWS, or Azure tools as they relate to big data is essential.

• Familiarity with Machine Learning Frameworks.

• Understanding of how JavaScript is utilized for websites.

• A proven ability to solve complex problems with timely delivery, high quality, and a creative approach.

• Strong listening skills to understand business needs and develop innovative solutions.

• Capability to work effectively within a team and manage individual workload priorities.

• A strong aspiration to become a proficient Data Scientist in a fast-paced environment.

🏝️ Benefits

• Medical, dental, and vision coverage available for employees.

• Paid time off including vacation, sick leave, and company holidays.

• Paid volunteer time.

• Flexible working hours.

• Summer Fridays.

• "Work From Home Light" days available between Christmas and New Year’s Day.

• 401(k) Plan with a 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 options (Employee/Spouse/Child).

• Employer-paid short and long-term disability.

• Employee Assistance Program (EAP).

• Continuing education reimbursement.

• Employee referral bonus program.

• Monthly remote work stipend.

• New hire office equipment reimbursement.