• Job Description

  Req#: JR-78555

  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

  Our Audit Intelligence Team is driven by the belief that we can redefine corporate functions by innovating data science (DS) and machine learning (ML) solutions. Our team is dedicated to building solutions that use ML to automate processes, and unlock insights that were once thought impossible. By using our solutions, finance professionals can focus on higher-value tasks that improve financial forecasts, optimize resource allocation, and reduce costs. Our data science solutions are also vital in detecting and preventing fraudulent activities, reducing the risk of financial losses.

  About the Role

  As our Sr. Full Stack Data Scientist (located in Salt Lake City, UT or Atlanta, GA), you'll lead cross-functional teams in data science efforts to understand business requirements and design, build, and implement innovative solutions that maximize statistical modelling and machine learning.

  Reporting to the Director of Data Science, the role will evangelize machine learning, with a focus on identifying efficiencies, anomalies, risks, and gaps in business processes. The bulk of the work will involve data exploration, feature engineering, building machine learning (ML) models and meaningfully collaborating with cross-functional business technology teams on model operationalization.

  In addition, this role may serve as a domain expert on auditing machine algorithm development with a focus on ensuring trust, reliability, accuracy, and fairness of model results. Finally, the Senior Full Stack Data Scientist will act as a crucial interface between Internal Audit, Finance, Business Technology and Product Teams.

  Primary Responsibilities:

  • Implement ML lifecycle from ideation to operationalization, including hypothesis generation, data exploration, feature engineering, model development, and results communication.

  • Lead and project manage cross-functional teams to operationalize ML-based solutions.

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

  • Formulate, build, test, and implement statistical and machine learning models to identify efficiencies, anomalies, non-compliance, and anomalous behavior in business transactions.

  • Design and run experiments to validate hypotheses and improve model performance.

  • Promote risk and fraud prediction ML use cases to contribute to product development initiatives.

  • Educate business teams on data science, AI, and machine learning principles and techniques.

  • Evangelize data science and machine learning use cases by driving exploration, user engagements, consensus, and customer adoption.

  • 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 importantly a self-motivated leader. You have a curious and creative mind, always seeking new ways to approach and tackle sophisticated data problems. You are adaptable and flexible, able to work with different teams and technologies to deliver results. You communicate clearly and optimally, 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:

  • 5+ years of hands-on experience in efficiently implementing machine learning projects. Preferably in the domains of anomaly and fraud detection, statistical methods, experimental techniques, or similar.

  • Bachelor's Degree in computer science, data science, statistics, applied mathematics, or cognitive science (Master's degree or above in similar areas strongly preferred).

  Other Qualifications:

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

  • Strong programming skills in Python, R, and SQL.

  • Expertise in applied machine learning models and deep learning frameworks (Tensorflow, PyTorch or Keras).

  • 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.

  • Expertise in evaluating models using visualization techniques such as confusion matrices, ROC curves, and precision-recall curves.

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

  • Ability to design and conduct experiments and evaluate model performance through cross-validation, hyper-parameter tuning, and similar techniques.

  • Experience in Natural Language Processing using deep learning (RNN, CNN, LSTM, etc.).

  • Strong ability and willingness to lead ML operationalization engagements with diverse, multi-functional business and technology teams.

  • 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 stakeholders.

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

  • Experience with large-scale language models such as GPTs, BERT, or other LLMs is a strong plus.

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

  • Proven ability 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 - United States

  The annualized base salary ranges for the primary location and any additional locations in the United States (US) 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: USA.UT.Salt Lake City

  
  

  Primary Location Base Pay Range: $138,000 - $207,000

  
  

  Additional US Location(s) Base Pay Range: $131,100 - $224,800

  
  
  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!

• About the company

  Workday, Inc., is an American on‑demand financial management and human capital management software vendor.

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