[Hiring] Senior Data Scientist 3 @Adswerve, Inc

Role Description

Adswerve is looking for an aspiring Senior Data Scientist 3 to join the Technical Services team. The ideal candidate for this key position will possess a natural tendency toward analytical thinking, combined with client-facing consultative communication skills. They will be naturally curious about:

• Generative AI
• Agentic AI
• Data purity
• Big data analysis
• Machine learning
• Product development

In addition, this candidate will have a desire to mentor and encourage growth in others and act as a leader within the team.

Our team of Data Engineers and Data Scientists are responsible for partnering with clients and internal teams to solve complex data-related challenges for some of the biggest brands in the world. We use data discovery and analysis through tools like Google BigQuery, Python Notebooks, and Google Data Studio to help our clients create insightful marketing strategies.

This is not a typical data scientist role. Our work is about consistently solving a multitude of client problems with data engineering, AI, and data science solutions. You’ll learn about:

• Data engineering pipelines
• Big data and marketing data sets
• Data science and machine learning concepts

You will be our client’s hero, achieving daily wins by using:

• Marketing segmentation
• Attribution
• Propensity modeling

Additionally, you will lead technical projects of various sizes and scope related to our clients’ Google Analytics and Google Cloud Platform implementations and ongoing support projects.

Our Sr. Data Scientists typically grow their career at Adswerve in one of two directions:

• Tech focus: Solve larger and more complex problems, turning client work into repeatable solutions.
• Client / people focus: Grow in project leadership, leading large scale projects and teams of data engineers and data scientists.

Qualifications

• 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 priorities 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.

Requirements

• 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 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.

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.
• New Hire Office Equipment Reimbursement.