Job Description
We are The Lighthouse within KPMGs Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we are able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse.
KPMG is currently seeking a Manager, Data Science to join our Consulting practice.
Responsibilities:
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains. Communicate technical details of solution, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local, and utilities).
• Plan engagement objectives, key deliverables, and deliver on engagement milestones by following analytics processes; Work with clients to discover, retrieve, prepare, and process a variety of data sources (social media, news, internal/external documents, emails, financial, and operational).
• Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
• Lead multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach; Lead team in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences.
• Leverage deep technical knowledge to build, review, and quality control code to prepare, extract, and enrich data sources, working with the business to understand available resources and constraints around data. Lead team in exploratory data analysis, generating and testing working hypotheses, and uncovering interesting trends and relationships. Provide expert oversight for teams building machine learning algorithms and data science solutions.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
• Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
• Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred
• Proficiency in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation, and deployment; Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
• Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills and strong verbal/written communication.
• Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
• Ability to travel
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. 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 affiliates and 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:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M149ADV_3_26
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, ****** 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.
KPMG is currently seeking a Manager, Data Science to join our Consulting practice.
Responsibilities:
• Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains. Communicate technical details of solution, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local, and utilities).
• Plan engagement objectives, key deliverables, and deliver on engagement milestones by following analytics processes; Work with clients to discover, retrieve, prepare, and process a variety of data sources (social media, news, internal/external documents, emails, financial, and operational).
• Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
• Lead multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach; Lead team in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and multiple responsibilities using structured approaches for operational excellence; Communicate results to executive level audiences.
• Leverage deep technical knowledge to build, review, and quality control code to prepare, extract, and enrich data sources, working with the business to understand available resources and constraints around data. Lead team in exploratory data analysis, generating and testing working hypotheses, and uncovering interesting trends and relationships. Provide expert oversight for teams building machine learning algorithms and data science solutions.
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
• Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
• Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred
• Proficiency in delivering analytics projects using leading processes including expert knowledge of data discovery, cleaning, model selection, validation, and deployment; Ability to work with team members and clients to assess needs, provide assistance, and resolve problems.
• Ability to apply artificial intelligence techniques to achieve concrete business goals; ability to work with the business to understand available resources and constraints around data (sources, integrity, and definitions), processing platforms, and security; Provide assistance, and resolve problems, using solid problem-solving skills and strong verbal/written communication.
• Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code.
• Ability to travel
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. 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 affiliates and 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:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M149ADV_3_26
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, ****** 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.
💡 Quick Summary
Seeking a career-building opportunity? The Manager, Data Science position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Houston offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
