Data Science Senior Associate

At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms. Enjoy a collaborative, future-forward culture that empowers your success. Work with KPMGs extensive network of specialists; enjoy access to our Ignition Centers, where deep industry knowledge merges with cutting-edge technologies to create innovative tax solutions. Join a diverse team helping high-profile clients understand, analyze, and respond to a wide array of business opportunities and challenges. Develop your career through multifaceted engagements, formal training, and informal mentoring. At KPMG, we believe nothing is more important than investing in our culture because it is an investment in our people, our future, and what we stand for as a firm.KPMG is currently seeking a Senior Associate to join our Economic & Statistical Consulting practice.Responsibilities:Perform statistical, economic, and financial analysis on economic, regulatory and policy issues of significance to a range of clients in the public and private sectors, both domestically and internationallyDevelop and apply complex computer algorithms to process and manage data, build tools, and automate manual tasksAdvance mathematical and computational models to simulate impact of policy changes or business decisionsManipulate large data sets to support statistical, economic, financial analyses and apply creative, innovative, lateral thinking to problem solvingCraft rigorous, insightful narratives on the issues under analysis and translate these into informative professional reports and presentations as needed that are accessible to non-specialists but add value for clientsWrite technical and non-technical memoranda and reports based on research and findings from analysesAct with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environmentQualifications:Minimum three years of recent experience with advisory-related projects within a quantitative analysis firmMaster's degree or higher from an accredited college/university preferred; minimum of a Bachelor's degree in economics, statistics, mathematics, applied mathematics or computer science from an accredited college/university is required; coursework or minor in Information Systems, Software Engineering, Data Science or Data Analytics Minimum two years of experience with one of the following data analysis software such as STATA, SAS, Python, SQL and RExperience with management and analysis of large volumes of data, financial analysis and valuation, statistical analysis, building and working with economic or mathematical models, and econometric analysesExperience with data science, machine learning methods, and LLM-based solutions and productsDemonstrated ability to think creatively and offer solutions to solve complex economic, financial, and business challenges for clientsExcellent written and verbal communication skills, solid research skills, and the ability to work well both autonomously and in a team environmentApplicant must possess a U.S. Government Secret clearanceApplicants must be authorized to work in the U.S without the need for employment-based sponsorship now or in the future; KPMG LLP will not sponsor applicants for US work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work.Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an 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, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.