Fullstack Data Scientist - Talent Pillar

workday    Canada, BC, Vancouver    2024-04-04

Job posting number: #98416 (Ref:JR-0086994)

Job Description

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.

View Orignal JOB on: italents.net

About the Team

Workday’s Talent Pillar is committed to deliver products that make workday better for all. We specialize in developing applications that help organizations recruit, up-skill and retain their valuable talent. We use numerous Machine Learning services to suggest opportunities for growth and career advancement. With our core value of Customer Service we believe in making decisions informed by data. That is why we are looking for a data scientist to lead our product development journey with insights from metrics and experiments.

About the Role

As our Full Stack Data Scientist (located in Vancouver, Canada), you will lead cross-functional data science efforts to define business value realization metrics, collect requirements, design data collection and processing and implement dashboards that visualize insights to a wide range of collaborators.

As a part of the Talent Machine Learning team, this role will help evangelize machine learning service, with a focus on identifying productivity gains and/or positive business outcomes for the customers. The bulk of the work will involve data exploration, collection, processing, analysis and visualization.

In addition, this role may serve as a domain authority for multiple partners in the area of designing success metrics for products/features and driving design of experiments for testing hypotheses.

Primary Responsibilities:

  • Audit and propose value realization metrics for Applications in Talent Pillar.

  • Solicit partner feedback in prioritizing metrics and visualization dashboards.

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

  • Formulate, design and run experiments to validate product hypotheses and suggest on how we can improve ML services, feature adoption and others. 

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

  • Educate business teams on data science, hypothesis testing and how to read dashboards.

  • Evangelize data science by driving exploration, user engagements, consensus, and customer adoption. Drive regular forums with all partners in order to draw conclusions from the current insights.

  • Prioritize tasks to improve productivity and ensure timely results.

About You

The ideal candidate is a professional who loves drawing insights from vast datasets. 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. You understand and believe that making data informed decisions is one of the pillars in reducing our biases.

Basic Qualifications:

  • 5+ years of hands-on experience in efficiently implementing value metrics, including:

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

    • Strong programming skills in Python. Experience with React is a plus.

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

    • Proficiency in data visualization tools such as Matplotlib, Plotly, Grafana, and big data tools like Databricks and PySpark.

    • Large scale data processing and familiarity with data pipelines

    • Experience defining and implementing metrics that go beyond the common metrics, such as monthly active users (MAU).

Other Qualifications:

  • Data collection in backend, DB and front end

  • 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

  • Proven track record to be highly collaborative

  • Excellent interpersonal abilities, and communication skills

  • 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.

Primary Location: CAN.BC.Vancouver

Primary CAN Base Pay Range: $100,100 - $150,200 CAD

Additional CAN Location(s) Base Pay Range: $100,100 - $150,200 CAD



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!



Employer Info

Job posting number:#98416 (Ref:JR-0086994)
Application Deadline:2024-05-04
Employer Location:workday
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