Deloitte Development, LLC
Norfolk, VA, United States
Mar 06, 2022
Lead, HRST People Analytics & Reporting, Data Science
People Analytics & Reporting collaborates across Talent and the business to uncover data-driven insights to solve business challenges across the talent lifecycle and enable transformational change. Our teams provide a holistic and client-centric approach that complements our wide range of analytical tools and methods to identify valuable workforce insights which, in turn, fuels the business.
The Data Science team collaborates closely withthe Business and Talent to provide leadership, best practices and insight for how analytics can drive more meaningful decisions
We're looking for a professional to work closely with other Data Science and People Analytics team members to support defined projects that enhance the firm's performance, productivity, and profitability through its people by conceptualizing analytical projects, mining, collecting and analyzing data, and providing actionable recommendations to guide the firm's talent strategy across a wide variety of Talent topics including acquisition & mobility, leader/manager development, engagement, inclusiveness, individual/team performance, development, and exit. Partners with functional, geographic, and/or service lines to support the business and firm strategy.
Work you'll do
Assists in the conceptualization of analytical projects to ensure research is rigorous and based on up-to-date experimental design principles in behavioral/social science.
Integrates multiple systems and data sets to build large and complex data sets and make them usable (e.g., extracting data from new data sources, transforming and cleaning data, working incomplete data sources, implementing and validating quality procedures).
Derives client-relevant, actionable insights from complex statistical and machine-learning (ML) models across a broad spectrum of social science research topics, including Diversity/Equity/Inclusion, workforce efficiency, employee lifecycle management, psychometric tool development, and survey design/analysis.
Applies and communicates advanced regression models and concepts - e.g. multicollinearity, interactions, distributional assumptions, logistic/probit regression analysis
Applies and communicates statistical significance/hypothesis testing concepts - e.g. p-values, confidence intervals, resampling procedures (e.g. permutation testing, bootstrapping).
Keeps up-to-date and introduces latest trends from machine learning and data science research (e.g., natural language processing, deep learning, dimension-reduction algorithms, cluster analysis, etc.)
Conducts scalable data research on Microsoft Azure cloud platforms, primarily on Azure Databricks (Apache Spark-based analytics service).
Implements automated processes for efficiently producing scale models.
Develops logically structured presentations (including story-telling of research/analytics findings) that will be shared at the Talent and business leadership level
Develops and maintains accurate and up-to-date project plans and status reports for all incoming and active projects.
Master's degree in Computer Science, Statistics, Applied Math or related field
2-3 years of applied experience in analytics and data mining
Must have forecasting experience.
Have knowledge about the professional services industry; Deloitte experience preferred
Demonstrated accomplishments in the following areas:
Use a broad range of analytical skills to discover, mine, and analyze data to precisely reflect the organization's or client's needs and improving deliverable quality through verification and validation of results
Ability to work independently and manage multiple task assignments
Skilled at communicating with cross-functional team regarding deliverables, schedules, and issues
Creative problem-solving skills related to team, project, and cross-functional issues
Ability to maneuver in a matrix environment, leverage indirect reporting resources, and work well in ambiguous situations
Demonstrated capabilities in:
Performing data manipulation and analysis in either Python or R. Python is preferred.
Ability to efficiently use common data manipulation, statistical and ML libraries in Python (e.g., scikit-learn, statsmodels, pandas, numpy) or R (e.g., lme4, psych, tidyverse). Knowledge of pyspark and/or sparkR is a plus.
Ability to perform complex SQL queries to merge, filter and transform data from large relational databases
Apply advanced regression analyses to understand categorical, ranked and quantitative outcome measures with a deep understanding of regression topics - e.g. multicollinearity, parametric distributions, interaction terms, and link functions (Generalized linear models). Knowledge of mixed-effect/multi-level regression modeling is a plus.
Possesses strong exploratory analysis skills
Familiarity with a range of disciplines such as: Natural language processing, machine learning , conceptual modelling, algorithms, statistical analysis, predictive modeling and hypothesis testing
Communication (excellent written/verbal communication, listening, and facilitation skills.)
Consulting skills (client service orientation, conflict resolution, analysis/synthesis of information, negotiation, etc.)
Professional judgment (including practical approach, appropriate risk taking, political savvy, and ethical judgment)
Ability to work in a remote environment, conscientious of key deadline deliverables, and ability to understand clients' needs from ambiguous requirements
Experience in conducting behavioral / social science research a plus
Limited immigration sponsorship may be available
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Deloitte Development, LLC
Website : http://www.deloitte.com