Senior Data Scientist & Assessment Scoring Engineer - Korn Ferry US
Dallas, TX 75201
About the Job
Korn Ferry is a global organizational consulting firm. We help clients synchronize strategy and talent to drive superior performance. We work with organizations to design their structures, roles, and responsibilities. We help them hire the right people to bring their strategy to life. And we advise them on how to reward, develop, and motivate their people.
Our 10,000 colleagues serve clients in more than 50 countries. We offer five core solutions:
- Organizational Strategy
- Assessment and Succession
- Talent Acquisition
- Leadership Development
- Total Rewards
/*generated inline style */
Job description
THE KORN FERRY INSTITUTE
The Korn Ferry Institute (KFI) - established in 2008 - is a global, corporate function of Korn Ferry that supports the organization across all lines of business including Advisory, Digital and Search through:
- Scientific research and the creation of thought leadership that highlights key trends related to topics such as the future of work and that identify the drivers of human and organizational performance.
- Creating and managing the Intellectual Property (IP) for the firm, including - for example - our Success Profile library, Competency Model content, assessment and measurement tools, and work measurement systems and processes.
- Leveraging our vast data asset to design and conduct state-of-the-art analytics that deliver impactful insights to clients and demonstrate the power and value of Korn Ferry tools and solutions.
OUR DATA
Korn Ferry owns an unrivalled suite of tools to collect, measure, and assess individual, team, and organizational performance. Our data encompasses everything from individual assessment tools (psychometric assessments, cognitive ability tests, and multi-rater tools to assess competency and leadership capability) to team and organization-level assessments (to measure topics such as team performance, culture, and engagement) as well as both the world's most highly regarded database on employee pay and benefits and the world's largest library of data-driven success profiles.
OPPORTUNITY TO ENHANCE YOUR CAREER - It's about exceeding your potential.
We are looking for a highly technical and organized Senior Data Scientist and Assessment Scoring Engineer to design, develop and manage multiple scoring solutions across our suite of assessment tools. The candidate must be an expert in code development using R, be highly numerical with a strong background in statistics, and have significant experience managing code bases in Git. Knowledge of DevOps tools such as Docker and experience with Azure are desirable.
The job holder will likely help scope, shape, and deliver advanced client analytics projects, drawing on both scalable and custom analytical approaches to address key talent/people-related challenges. The individual needs to be highly analytical, with strong technical, organizational, and communication skills.
The Senior Data Scientist and Assessment Scoring Engineer will design, develop and manage our business-critical scoring code base. Our tools are version-controlled using Git, and experience in Azure is highly desirable. The successful candidate will likely be involved in advanced AI/ML projects and develop prototype analytics solutions using tools such as R Shiny, Python Streamlit, and Power BI. A continued focus for our team is to incubate highly innovative solutions while always looking for opportunities to standardize and scale these such that we can deliver high impact, repeatable solutions with maximum efficiency. Ideally, the candidate will also have knowledge or experience with tools that deploy advanced data solutions, such as Docker containerization, or Jenkins.
The job holder needs a strong background in data science, statistical analysis, and an aptitude for creative thinking and problem-solving. Success in the role will require developing a deep understanding of client issues, working collaboratively with our advisory teams and Data Scientists, defining the right questions to ask, identifying the right data and analytic methods to answer the questions, and translating complex data into elegant, powerful stories that resonate with clients. The job holder should have a passion for and focus on identifying the differentiators of individual and organizational performance through data, and experience in psychometric-based assessment tools and scoring is highly desirable.
The jobholder needs to be comfortable working with highly complex and varied data sets, leading on the creation and management of an array of complex scoring services, and be able to multi-task and manage multiple complex demands.
KEY RESPONSIBILITIES
- Scoring: Play a lead role in the design, development, QA, maintenance and management of our suite of scoring services covering psychometric-based self-assessments, cognitive tests, multi-rater tools, and integrated assessment solutions.
- Client-Supported Data Science Projects: Lead and run advanced client analytics projects as needed. This might include AI/ML and the development of advanced models.
- Client Analytics Portal: Contribute to the management and maintenance of the Client Analytics Portal, which houses multiple apps covering solutions to score, analyze and report out on talent-related data.
- Client Analytics Applications: Contribute to the development and maintenance of R Shiny or Python Streamlit applications that generate standardized and scalable reports for clients.
- Analytics Project Leadership: Oversee and/or perform analytics work from the beginning of the analytics workstream to delivering the final analytics report/presentation to the client.
- Storytelling Mindset: Extract and elevate the "so-what," insights, and actionable recommendations from all the numbers by closely understanding the client business needs and integrating knowledge from subject matter experts (SMEs).
- Documentation and Enablement: Document scoring algorithms and data flows. Share results and approaches with data scientists and other internal stakeholders.
- Stay up to date with the latest research and industry trends in machine learning and natural language processing (NLP) and evaluate their potential application to improve text analytics capabilities. Apply machine learning models and algorithms to solve complex problems in text analytics, including but not limited to sentiment analysis, topic modeling, text classification, and information extraction.
- Conduct foundational analytics to provide insights that are broadly applicable across client organizations, e.g. regional trends, cross-client evaluation metrics, and economic changes that are impacting the workforce (e.g., Artificial Intelligence).
Technology Stack:
- Significant experience in developing code in R, including package development
- Proven expertise with Git to version control source code.
- SQL
- Azure
- Developing R Shiny applications
- Python
- Experience working in a software development team environment and using coding development best practices.
- Proven ability to quickly understand existing code base and be able to contribute to it efficiently and effectively.
- Proven expertise in identifying, isolating, and rectifying errors in complex code.
- Proven ability to create and run unit tests.
- Strong background in statistics/mathematics, with experience in either research & design of novel algorithms, or with the building and deployment of mathematical models.
- Fast and nimble learner, able to learn on the job.
- Excellent communication skills with the ability to work within a team, across the business, and build strong relationships.
- Experience with personality or talent-related assessments and related data.
- Understanding of machine learning and artificial intelligence libraries and frameworks.
PREFERRED PROFESSIONAL EXPERIENCE / QUALIFICATIONS
Technology Stack:
- Docker
- PBI with DAX
- Excel
- Knowledge of standard psychometric models, including those used in classical test theory and item response theory.
- 3+ years internal or external consulting experience.
EDUCATION
- The ideal candidate will likely have a degree in Data Science, Psychology/Psychometrics, Quantitative Psychology, People Analytics, Industrial/Organizational Psychology, Computer Science, Statistics, or Informatics/Information Systems.
/*generated inline style */
Internal Mobility at Korn Ferry
If you currently work for Korn Ferry or one of our affiliates, you must be eligible to apply for a different position within Korn Ferry to use the Careers Site. If you accept such a position, your benefits programs and Human Resources policies may change. Please consult with your HR contact for the new position concerning application eligibility, including any immigration/visa needs, benefit programs, and HR policies applicable to that position.
/*generated inline style */
Korn Ferry is an Equal Employment Opportunity/Affirmative
Action Employer - Minority/Female/Disability/ Veteran
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status or any other characteristic protected by federal, state, or local law.
/*generated inline style */
If you are a resident of New York, Colorado, California, Washington, Hawaii, District of Columbia, New Jersey, Maryland, Illinois, Massachusetts, Vancouver, British Columbia, Manitoba, New Brunswick, Newfoundland, Nova Scotia, Ontario, Quebec, Saskatchewan" please click here for remote opportunities with Korn Ferry in your state/province.
Reference Job Id: 17549
#LI-DNI