Data Scientist at Workday
Your work days are brighter here.
About the Team
Join a fast-paced organization working with groundbreaking technologies to solve the next generation of sophisticated problems. Would you enjoy the quick decision-making of an innovative, young product while benefiting from the financial strength of a growing market leader named in the ‘Best Companies to Work For’ by Fortune? The Workforce ML team offers the best of both worlds! We have an immediate opening for a Senior Data Scientist. This could be your next great adventure.
About the Role
As a Data Scientist, 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.
As part 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 user behaviors, to inform product direction. In this role you are expected to excavate the “value” that our customers derive from using our products and reconstruct the user journey through Workday application from the data residing in different locations and different formats.
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:
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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.
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Build and run multiple business scenarios to assist with product/SKU level revenue projections and growth, including the risk factors.
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Audit and propose value realization metrics for our Flagship products.
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Solicit stakeholder feedback in prioritizing metrics and visualization dashboards.
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Lead value metrics projects and communicate with a wide audience of partners.
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Formulate, design and run experiments to validate product hypotheses and suggest how we can improve feature adoption and value realization
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Analyze and explore data to identify relationships, patterns, trends, risks, and opportunities.
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Create dashboards and other data visualizations to assist in decision making.
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Educate business teams on data science principles and techniques including effective forms of data visualization.
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Prioritize tasks to improve productivity and ensure timely results.
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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.
Basic Qualifications:
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5+ years of hands-on experience in Data Analysis and visualization.
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5+ years of experience programming in Python, R, and SQL
Other Qualifications:
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Expertise in statistics and statistical concepts, including regression analysis, hypothesis testing, and statistical inference.
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Proficiency in machine learning techniques such as dimensionality reduction, resampling, ensemble learning, anomaly detection, feature scaling and feature selection.
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Proficiency in data visualization tools such as Matplotlib, Seaborn or similar.
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Experience writing sophisticated SQL queries and ETL processes with Spark/Trino, including for data extraction, transformation, and loading into a data lake.
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A natural curiosity and willingness to stay updated with the latest technologies and methodologies in the field.
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Ability to design and conduct data driven experiments.
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Understanding of software development life cycle and artifacts required for different phases and stage gates.
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Excellent project management and communication skills to present insights and recommendations to partners.
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Ability to explain sophisticated technical concepts to non-technical people.
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Experienced in applying concepts/philosophies for appropriate problem-solving and decision-making.
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Consistent record of collaboration with team members.
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Excellent interpersonal abilities.
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Driven to make a positive difference with the team and with the company.
