FIND_THE_RIGHTJOB.
Associate Data Scientist
San Francisco, United States
Company Overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What You'll Do
Docusign's Product Data Science team is looking for an Associate Data Scientist to support the development of key data products and capabilities to enable data-driven product development and decision making. In this role, you would be part of the Product Data Science team and work directly in partnership with a variety of stakeholders including but not limited to Product, Engineering and User Experience partners to support and empower them with data-driven actionable insights. You will be embedded in specific product spaces requiring you to establish and grow relationships. As an Associate Data Scientist, you’ll dig into the data to uncover insights, identify opportunities for product improvements and new product development, define product metrics with goals, design experiments and develop data science models to drive customer experience, engagement, and adoption of Docusign’s products.
This position is an individual contributor role reporting to the Vice President, Operations amp; Analysis.
Responsibility
Collaborate with cross-functional teams to research, build and improve data analysis to identify opportunities for product improvements, new product features, product utilization, and improve customer experience, engagement, and retention
Partner closely with the product managers, user researchers, engineers, and leadership to capture and prioritize potential insights, analysis, and data product opportunities that will drive maximum business impact
Leverage data to develop actionable analytical insights and present findings to senior management
Partner with Product teams to design, administer, and analyze the results of A/B and multivariate tests and other ML models.
Design and build dashboards to provide actionable insights and key business metrics
Design, build and test reliable data pipelines to extract and transform data
Identify, design, and implement process improvements by automating manual processes for greater efficiency
Collaborate with stakeholders across organizations to support their data needs
Implement data quality checks to maintain the high quality of data
Optimize and maintain the existing pipelines
Document the work in confluence and Alation
Job Designation
Hybrid:
Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
What You Bring
Basic
BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics or Finance, Information Systems or other related engineering field ) or equivalent work experience
English language proficiency: native or fluent
Experience with SQL for data analysis and data validation
Experience with data visualization tools such as Tableau, Power BI, or similar
Experience with statistics and rigorous analytical techniques
Experience in extracting, transforming and loading data using any data platform
Experience solving real business problems using data and analytics
Experience in working with cross-functional teams
Demonstrated success delivering on multiple competing priorities
Preferred
Ability to present data in a visual format and explain the insights clearly and concisely
Experience with A/B testing, cohort analysis, user segmentation, and other core product analytics methodologies
Experience designing and refining machine learning models
Experience with Python or R
Familiarity with data engineering processes
Highly motivated, organized, self-starter who thrives in a fast-paced environment
A strong individual contributor who partners well with internal teams
Wage Transparency
Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Based on applicable legislation, the below details pay ranges in the following locations:
California: $92,800.00 - $135,000.00 base salary
This role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
- Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Global benefits
- Paid Time Off: earned time off, as well as paid company holidays based on region
- Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
- Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
- Retirement Plans: select retirement and pension programs with potential for employer contributions
- Learning and Development: options for coaching, online courses and education reimbursements
- Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life At Docusign
Working here
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 than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.
Accommodation
If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
Our global benefits
Paid time off
Paid parental leave
Full health benefits
Retirement plans
Learning & development
Compassionate care leave
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