Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team

About the Role

As our Principal Data Scientist (located in Atlanta Georgia), you'll lead cross-functional data science efforts to understand business requirements and design, build, and implement innovative solutions that enhance statistical modeling, measure value delivery and inform product decisions.

Reporting to the Sr. Director of a team that provides technical leadership for Workday's flagship HCM and Workforce Products, this role will evangelize the use of data, the measurement and analysis of customer behaviors, to inform product direction and help demonstrate value realization. The bulk of the work will involve data exploration, collection, processing, analysis and visualization. This role will interact with a range of Product Stakeholder and Technical Leaders, and will serve as a domain authority on how we can effectively use data to inform product decisions and overall strategy. Primary Responsibilities:

• Build a data backed story to increase awareness of what factors drive business impact and product adoption across different customer segments and geo-graphical regions.

• Build and run multiple business scenarios to assist with product/SKU level revenue projections and growth, including the risk factors.

• Audit and propose value realization metrics for our Flagship products.

• Solicit stakeholder feedback in prioritizing metrics and visualization dashboards.

• Lead value metrics projects and communicate with a wide audience of partners.

• Formulate, design and run experiments to validate product hypotheses and suggest how we can improve feature adoption and value realization 

• Analyze and explore data to identify relationships, patterns, trends, risks, and opportunities.

• Create dashboards and other data visualizations to assist in decision making.

• Educate business teams on data science principles and techniques including effective forms of data visualization.

• Prioritize tasks to improve productivity and ensure timely results.

• Collaborate with cross-functional teams to engineer workarounds and navigate project challenges.

About You

The ideal candidate is a professional who's more than a technical authority - you are a problem-solver, collaborator, and meaningfully a self-motivated leader. You bring a strong business mentality that enables you to link data sources with product narratives. You have a curious and creative mind, always seeking new ways to approach and address sophisticated data problems. You are adaptable and flexible, able to work with different teams and technologies to deliver results. You communicate clearly and effectively, sharing your findings and insights with others in a way that's understandable and practical. And you're passionate about your work, driven by a desire to use data to make a real impact in the world.

Basic Qualifications:

• 8+ years of hands-on experience in Data Analysis and visualization. 

• 5+ years of experience programming in Python, R, and SQL

Other Qualifications:

• Expertise in statistics and statistical concepts, including regression analysis, hypothesis testing, and statistical inference.

• Proficiency in machine learning techniques such as dimensionality reduction, resampling, ensemble learning, anomaly detection, feature scaling and feature selection.

• Proficiency in data visualization tools such as Matplotlib, Seaborn, Tableau, Power BI, or similar.

• Experience writing sophisticated SQL queries and ETL processes, including for data extraction, transformation, and loading into a data lake.

• A natural curiosity and willingness to stay updated with the latest technologies and methodologies in the field.

• Ability to design and conduct data driven experiments.

• Understanding of software development life cycle and artifacts required for different phases and stage gates.

• Excellent project management and communication skills to present insights and recommendations to partners.

• Ability to explain sophisticated technical concepts to non-technical people.

• Experienced in applying concepts/philosophies for appropriate problem-solving and decision-making.

• Consistent record of collaboration with team members.

• Excellent interpersonal abilities.

• Driven to make a positive difference with the team and with the company.

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below.  Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!