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Senior Associate, Data Scientist

Company: KPMG
Location: Rochester
Posted on: June 8, 2021

Job Description:

Innovate. Collaborate. Build. Create. Solve. The KPMG Digital Lighthouse is KPMG's award-winning Analytics & AI Center of Excellence recognized by clients and leading analyst firms in the US and globally. The KPMG Lighthouse is a curation of specialized technical capabilities and domain experts working across the digital landscape: applied data science, AI, data engineering and insights, software engineering, automation, and big data. Here, you'll be an important part of our high-energy, unique, fast-paced, and innovative culture that delivers with the agility of a tech startup and the backing of a leading global consulting firm. Our technology-agnostic approach enables us to scale up or down and integrate across leading platforms.

KPMG is currently seeking a Senior Associate, Data Scientist to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.


  • Translate advanced business analytics problems into technical approaches that yield actionable results in different domains (e.g. risk management, product development, marketing research, supply chain, etc.)
  • Work in multi-disciplinary and cross-functional teams to translate business requirements into analytical goals and modeling approaches; rapidly iterate models and results to refine and validate approach
  • Work in a fast-paced and dynamic environment; utilize structured approaches to solving problems, managing risks, and documenting assumptions while communicating results and educating others through insightful visualizations, reports, and presentations
  • Deliver on engagement milestones by following analytics processes to mitigate risks in data, modeling, validation, and delivery; manage assumptions, and risks, and work with others to clear issues
  • Build ingestion processes to prepare, extract, and enrich a variety of structured and unstructured data sources; perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships
  • Analyze and model data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research


  • Minimum of four years of experience working in teams of data & analytics professionals to deliver on business-driven analytics projects
  • Excellent problem-solving skills, verbal/written communication, and ability to explain technical concepts to business audience, ability to apply analytical techniques to achieve concrete business goals while working with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; experience performing data science across various phases of the DS lifecycle: data discovery and exploration, cleaning, model selection, validation, and deployment;
  • Ability to utilize one or more common data science scripting languages (e.g. Python, R); experience with common frameworks for ML/AI (e.g. Scikit-Learn, tidymodels, Tensorflow); solid understanding and proficiency working with "rectangular" data (e.g. SQL/equivalents like pandas or dplyr, the relational model, data joins and aggregations etc.)
  • Familiarity with graph theory/network science, graph databases (e.g. Neo4j, AWS Neptune), and software packages that support graphs analysis (e.g. networkx, igraph) a large plus
  • Experience working with unstructured data and related analytical techniques (e.g. NLP methods) beneficial; experience with one or more Cloud provider (Azure, GCP and/or AWS) is a plus; comfortable working in either Windows or Linux environment, comfortable working on the command line; familiar with standard development practices (version control with git, code design, testing, complexity, and code optimization)
  • Master's Degree or PhD from an accredited college/university in Computer Science, Engineering, or related fields
  • Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future

Colorado Salary Statement:

The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Colorado Salary Range: Low: $54700 - High: $114000

KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.

Keywords: KPMG, Rochester , Senior Associate, Data Scientist, Other , Rochester, New York

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