What are the responsibilities and job description for the Data Scientist, Analytics Engineer position at TRKKN?
DATA SCIENTIST AT TRKKN
As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level.
Working for TRKKN means that you'll be part of an inspiring, energetic, and international team in a fast-growing tech environment. We offer the ideal workplace for anyone who wants to grow, learn, and has a strong desire for solving complex business challenges.
Being on the bleeding edge of marketing technology and innovation means you will have an unparalleled opportunity for learning, along with personal and professional growth: there's never a dull moment here.
Responsibilities
As a Data Scientist – Analytics Engineer, reporting into the Head of Cloud and AI at TRKKN North America (NA), you’ll focus on building, transforming, and helping to grow the strategic database architecture for large scale ETL products and services.
Whether working with our existing repository of products or building TRKKN’s next-gen capabilities, you’ll leverage your expertise in SQL, database architecture, and marketing knowledge to develop and deploy scalable solutions within the cloud.
Working within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex database engineering projects.
To Be Successful In This Role, You Will
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$120,000—$140,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
As a catalyst for innovative digital marketing ideas, what excites us at TRKKN is using a data-driven approach to take our clients’ business to the next level.
Working for TRKKN means that you'll be part of an inspiring, energetic, and international team in a fast-growing tech environment. We offer the ideal workplace for anyone who wants to grow, learn, and has a strong desire for solving complex business challenges.
Being on the bleeding edge of marketing technology and innovation means you will have an unparalleled opportunity for learning, along with personal and professional growth: there's never a dull moment here.
Responsibilities
As a Data Scientist – Analytics Engineer, reporting into the Head of Cloud and AI at TRKKN North America (NA), you’ll focus on building, transforming, and helping to grow the strategic database architecture for large scale ETL products and services.
Whether working with our existing repository of products or building TRKKN’s next-gen capabilities, you’ll leverage your expertise in SQL, database architecture, and marketing knowledge to develop and deploy scalable solutions within the cloud.
Working within TRKKN globally, you will contribute directly to company growth goals by faithfully managing and executing robust and complex database engineering projects.
To Be Successful In This Role, You Will
- Act as Analytics Engineer – Data Science (SME) in the delivery and development of database creation, transformation, and strategic oversight
- Deploy data products from our existing proprietary codebase and work within multiple environments to continue to stand-up new data driven features within databases like BigQuery
- Design tech infrastructure and data pipelines (ETL, data automation, data querying, etc.) when necessary
- Bachelor’s degree in a quantitative field (advanced degree is preferred)
- 3-5 years of experience, preferably in Data Engineering, Analytics Engineering, or Data Science
- Expertise with Google Cloud Platform’s distributed Data Science and Data Engineering tools (e.g. BigQuery, DBT, Docker, Kubernetes)
- Experience with Git, GitLab, CI/CD pipelines on Gitlab
- Strong analytical mindset with expert knowledge of SQL and BigQuery, as well as BI tools such DataStudio and Looker (LookML) to implement business reports and BI solutions.
- Experience working on a data science or engineering team, participating in scrums, sprints, and retrospectives
- Ability to clearly explain complex ideas to non-expert audiences
- Familiarity with media and media measurement a plus
This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.
Compensation Range
$120,000—$140,000 USD
This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.
Salary : $120,000 - $140,000
