Sr Data Scientist (Marketing Operations)

Sr Data Scientist (Marketing Operations)

Docker is a remote first company with employees across Europe and the Americas that simplifies the lives of developers who are making world-changing apps.  We raised our Series C funding in March 2022 for $105M at a $2.1B valuation. We continued to see exponential revenue growth last year.  Join us for a whale of a ride!

You will be part of a newly formed department, Marketing Operations. You will help create the necessary framework and tooling used by all marketing departments. You will liaise with product teams directly to build up the needed capabilities and influence their roadmaps. You will be at the core of enabling Product Marketing, Growth, DevRel, and Brand programs to succeed by providing tools and insights to make better data-driven decisions. You will create analyses and assessments which will support department leads to prioritize their investments and understand correlations between program outputs and top-line outcomes.

You’ll be successful in this role if you’re excited to shape your discipline, use cutting-edge technology, and are eager to help support multiple teams and individuals to create effective management systems. You’ll thrive if you see opportunities for improvement everywhere and want the space to push your discipline to its full potential.

Responsibilities:

  • Define the scope and build the analytics arm of Marketing Operations

  • Use sophisticated modeling techniques such as causal inference to undercover insights related to user behavior, interpret data across channels to provide quick turn-around insights to brand and content teams

  • Build management systems, scorecards, and data-visualization based presentations that enable marketing leaders to make better decision

  • Provide projections and forecasting for platform, channel/content strategy and planning

  • Solid understanding of source data, its strengths, weaknesses, semantics, and formats; solid knowledge of logical and physical data modeling concepts (relational and dimensional)

Qualifications:

  • Understanding of econometric modeling (like regression, linear, ridge) and how to apply models to measure marketing efficiency and optimize spend, to flight and mix to maximize return on ad spend (i.e., MMM)

  • Strong knowledge of SQL

  • Doing analysis using Python or R, expertise across digital research and analytics tools (Google, Omniture, Tubular, Comscore) 

  • Experience with at least 1 BI tool (Power BI, Tableau or Looker)

  • Knowledge of git versioning and control

  • Advanced experimentation experience, including multivariate and causal analysis

  • Strong verbal and written English communication skills

What to expect in the first 30 days

  • Get to know the teams, products, and customers

  • Join a Docker meetup and get to know the community and user base

  • Get acquainted with the Docker culture centered around humility, developer obsession, open collaboration, and bias for considered action

What to expect in the first 90 days

  • Create a plan with department leads to build solid management systems and reporting for their programs

  • Drive insights and uncover investment opportunities from currently available data

  • Work closely with different teams to influence decisions on infrastructure and represent marketing and its needs

What to expect in the first year

  • Support overall decision-making and have solid tools and models in place to enable big investment decisions

  • Use advanced ML techniques to understand user behavior and create user segments that will improve the understanding of current users' behaviors

  • Support the cultural changes to become a data-driven organization by enabling a wide variety of stakeholders to understand and use data in their decision making 

Perks:

  • Freedom & flexibility; fit your work around your life

  • Variety of virtual and in-person social events to build connections and have fun

  • Home office setup; we want you comfortable while you work

  • Generous maternity and parental leave

  • Technology stipend equivalent to $100 net/month

  • PTO plan that encourages you to take time to do the things you enjoy

  • Whaleness Days: companywide day off each month

  • Quarterly, company-wide hackathons

  • Training stipend for conferences, courses and classes

  • Stock Options; we are a growing start-up and want all employees to have a share in the success of the company

  • Docker Swag

  • Medical benefits, retirement and holidays vary by country


Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our company will be.

CA/NY/Boulder, CO/Denver, CO $154,000 - $210,000

Colorado $144,000 - $197,000

*salary range can change depending on the level

Due to the remote nature of this role, we are unable to provide visa sponsorship.

#LI-REMOTE

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