Data Scientist – GTM Intelligence
Marketing | San Francisco, CA or Seattle, WA or Remote - US

This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia, and Wyoming.

Our agreement with employees
DocuSign is committed to building trust and making the world more agree-able for our employees, customers, and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what`s right, every day. At DocuSign, everything is equal. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better. And for that, you`ll be loved by us, our customers, and the world in which we live.

The team
Our Marketing team creates world-class content and data-driven marketing solutions that communicates the value of DocuSign`s Agreement Cloud to reach more customers and help them understand the potential impact DocuSign can have on their business. We design creative for a new business campaign. Refine messaging around new product launches. Organize captivating customer events. Develop innovative social media campaigns. Collaborate on playbooks and training with the Sales team. Marketing is the face and voice of DocuSign and plays a key, high-impact role in how we tell our story.

This position
The GTM Intelligence Data Scientist is a highly motivated self-starter who is responsible for designing, building, and promoting models & algorithms that power the next generation of machine learning and data science products for the GTM organization at DocuSign. You will be solving difficult and non-routine problems by applying analytical methods in novel ways. This includes processing, analyzing, and interpreting large and complex data sets, with an emphasis on actionable results. You will also need to collaborate closely with GTM, Engineering and other stakeholders to implement model-based solutions, measure the effectiveness of data products and drive growth and customer success.

The ideal candidate has a rich experience across the GTM domain as a data scientist. You will collaborate with a cross functional agile team spanning data scientist, data engineering, product management, and business experts to build new product features that advance our mission to understand our platform and help us sustainably grow as a business.

This role will influence and shape the design, architecture, and roadmap for predictive and prescriptive data products for the GTM teams. You have a track record of driving successful data science initiatives while balancing the diagnosis and fixing of urgent problems with a thoughtful approach. You have experience creatively working with challenging data and systems.

This role requires the ability to deliver in a complex and fast-moving organization at global scale. The candidate is deeply analytical with a keen understanding of business processes and programs and the ability to translate data and insights into operational readouts.

This position is an individual contributor reporting to the Senior Director of GTM Intelligence and is designated Flex.

Responsibilities

• Contribute to designing, building, evaluating, shipping, and refining our data products by hands-on ML development
• Build and drive product recommendation systems that support the DocuSign Agreement Cloud
• Support data ingestion from multiple infrastructures
• Coordinate effective, quantitative strategies directly derived from communication with stakeholders
• Help drive optimization, testing, and tooling to improve quality
• Design experiments that evaluate the effectiveness of data products
• Mentor more junior members of the team on mathematical modeling and ML best practices
• Lead development of data schemas that facilitates effective
• Develop data preparation processes to consolidate heterogeneous datasets and work around data quality issues
• Communicate and present strategic insights to non-technical audiences

Basic qualifications

• Bachelor or Masters degree in Physics, Mathematics, Statistics, Computer Science or related field
• 5+ years hands on experience in building data science applications and machine learning pipelines.
• Working knowledge of Python both for research and software development purpose

Preferred qualifications

• Knowledge of common machine learning and statistics frameworks and concepts
• Experience with large data sets, distributed computing and cloud computing platforms
• Proficiency with relational databases (e.g., SQL)
• MLOps experience is highly regarded
• Ability to break down technical concepts into simple terms to present to diverse, technical, and non-technical audiences
• Experience in training and deploying machine learning models in production environments
• Knowledge of Apache Airflow, Spark, Snowflake
• Experience working with technologies like: AWS, Git, Terraform
• MLOps experience is highly regarded
• Effective written and verbal communication skills

Based on Colorado law, the following details are for Colorado individuals only: Colorado base salary range: $106,500 - $130,200 and eligible for bonus, equity and benefits.