Decision Scientist
San Francisco or Seattle or Chicago or Remote US
DocuSign
DocuSign ensures the security & mobility to digitally transform businesses. Sign docs for free.Decision Scientist – GTM Intelligence
Sales and Business Development | San Francisco, California or Seattle, Washington or Chicago, Illinois 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 agreeable 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 Sales & Business Development teams collaborate with customers and partners across the globe to help them leverage the DocuSign Agreement Cloud to transform the entire system of agreement process—from preparing to signing, acting on, and managing contracts and other types of agreements. Our team partners with some of the largest, most innovative companies in the world in dozens of industries to bring the power of DocuSign to more customers. Whether you are selling to a small business or a large enterprise, you will apply your extensive knowledge of our solutions, and leverage our strategic partnerships to help our customers grow their top and bottom line.
This position
The GTM Intelligence Decision Scientist is a highly motivated self-starter who is responsible for researching, co-designing, and optimizing our GTM data products. You will be solving difficult and non-routine problems by applying analytical methods in novel ways. This includes creating, analyzing and interpreting large and complex data sets, with an emphasis on actionable results. You will also need to collaborate closely with GTM teams, ML Data Scientists, Engineering and other stakeholders to ideate model-based solutions, measure the effectiveness of data products and drive growth and customer success.
This is a business-focused data science role that will influence and shape the design, architecture and roadmap for predictive and prescriptive data products for the GTM teams. The ideal candidate has a rich experience across the GTM domain as a data/decision scientist and data analyst. You will collaborate with a cross functional agile team spanning data science, data engineering, product management, and business experts to collectively drive GTM data products that improve our GTM teams’ successes.
While this role is in a business unit and is not building and deploying ML models, you will be responsible for the research, analysis, and ideation creation of analytical data products. You have a track record of driving successful data product initiatives while balancing the diagnosis and fixing of urgent problems with a thoughtful approach. Your results will enable marketers and sellers to develop valuable, highly effective programs and optimize their activities.
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
- Design and perform statistical analyses used to shape and continuously improve the efficiency and impact of GTM data products
- Responsible for driving and optimizing key performance metrics such as sales conversion, propensity score efficacy, bookings potential, and operational efficiency
- Contribute to design, research, evaluation, and optimization of our GTM data products
- Coordinate effective, quantitative strategies directly derived from communication with stakeholders
- Work closely with a cross-functional team consisting of engineers, product managers, data scientists, operations, and engineers
- Collaborate with Marketing and Sales teams to make sure they have a good understanding of the GTM data products
- Help drive optimization, testing, and tooling to improve quality
- Design experiments that evaluate the effectiveness of data products
- Develop data preparation processes to consolidate heterogeneous datasets and work around data quality issues
- Communicate and present strategic insights to management teams and non-technical audiences
- Develop informative analyses, data visualizations, dashboards, and reports to deliver business insights and ensure consistency and reliability across teams
Basic qualifications
- Bachelor or Masters degree in Business, Finance, Mathematics, Statistics, Computer Science or related analytical field
- 8+ years hands on experience in a data-focused role such as product analytics, business analytics, business operations, or business data science
- Advanced SQL ability
- Experience with data analysis, research and visualization tools, such as Python, R, Tableau
- Proficient at defining, applying, and presenting performance metrics
- Proven track record of applying analytical and statistical methods to tackle real-world problems using big data
- Experience with experimentation - design (A/B Testing), and analysis
Preferred qualifications
- Involvement in building data science products for business teams and processes.
- Basic knowledge of common machine learning and statistics frameworks and concepts.
- Ability to break down technical concepts into simple terms to present to diverse, technical and non-technical audiences
- Effective written and verbal communication skills
Based on Colorado law, the following details are for Colorado individuals only: Colorado base salary range: $115,800 - $163,575 and eligible for bonus, equity and benefits.
Vaccination requirement
DocuSign may require all employees to be fully vaccinated against COVID-19 and provide proof of vaccination to visit a DocuSign office, to meet with potential or actual customers or business partners, or for other business-related purposes, in accordance with local law. Please note that DocuSign has contracts with different governments globally which may require compliance with local and federal laws.
About us
DocuSign helps organizations connect and automate how they prepare, sign, act on and manage agreements. As part of the DocuSign Agreement Cloud, DocuSign offers eSignature, the world's #1 way to sign electronically on practically any device, from almost anywhere, at any time. Today, over a million customers and more than a billion users in over 180 countries use the DocuSign Agreement Cloud to accelerate the process of doing business and simplify people's lives. And we help save the world’s forests and embrace environmental sustainability.
It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. DocuSign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
Accommodations
DocuSign provides reasonable accommodations for qualified individuals with disabilities in job application procedures, including if you have any difficulty using our online system. If you need such an accommodation, you may contact us at accommodations@docusign.com.
#LI-Remote
Tags: A/B testing Agile Architecture Big Data Business Analytics Computer Science Data analysis Data quality Engineering Finance Machine Learning Mathematics ML models Python R Research SQL Statistics Tableau Testing
Perks/benefits: Career development Equity Salary bonus Signing bonus Team events
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