5,670 Applied Scientists jobs in the United States
Senior Applied Scientists and Principal Applied Scientists (Multiple Positions) - Copilot Tuning
Posted 18 days ago
Job Viewed
Job Description
Copilot Tuning is a new product that aims to fine-tune large language models (LLMs) on tenant data, enabling task-specific agents and solutions. We are a small, nimble team that is advancing the state of the art of models in M365 Copilot. Come join our team and help transform the LLM experience in the enterprise.
We are seeking **Senior Applied Scientists and Principal Applied Scientists** **(Multiple Positions)** with strong research skills and the desire to pursue the cutting edge in model development that pushes technological boundaries. We are looking for candidates with interest and experience in language model training, data pipelines, and shipping high-quality models, willing to delve deep with customer data and generalize the learnings for the broader product.
We provide a nurturing environment to support passionate researchers and engineers in technology innovation. We seek candidates that excel in deep thinking, advanced development, and fast-paced entrepreneurial execution in a collaborative setting.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Write and execute training pipelines for large language models post-training.
+ Design experiments to show the effectiveness of LLM-based solutions.
+ Design and implement inference solutions that incorporate post-trained models following product specifications and work with broader team to ship these solutions to customers.
+ Document experiments and communicate results across the team.
+ Mentor early in career team members.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
+ OR equivalent experience.
+ 2+ years of experience training/fine tuning AI/ML models, preferably LLMs/SLMs (slow learning model).
+ 2+ years of experience with Python and/or ML frameworks such as PyTorch.
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
+ OR equivalent experience.
+ 4+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
+ 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
+ 2+ years of experience building Generative AI pipelines, e.g. with RAG (Retrieval augmented generation).
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $34,700 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Applied Sciences IC5 - The typical base pay range for this role across the U.S. is USD 139,900 - 274,800 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 188,000 - 304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
will accept applications and processes offers for these roles on an ongoing basis.
#m365core #copilottuning
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Applied Scientist II and Senior Applied Scientists (Multiple Positions)-Microsoft Applied Science...
Posted today
Job Viewed
Job Description
From being able to log you in with face recognition, correct your gaze during a video chat to maintain eye contact, to the exciting possibilities in augmented reality, are you itching to play a part in bringing applications of machine learning to millions of users?
The **Microsoft Applied Sciences Group** incubates disruptive technologies for Microsoft's next-gen hardware products and is working on several exciting projects that will shape how computers and other devices perceive the user and the user's environment. Operating as a startup within the company, this team works closely with several research and product teams to bring compelling new experiences to the market. A lot of these experiences will be powered by machine learning - and as part of this team, you will have the unique opportunity to work on almost every aspect of a shipping vision system: camera optics, sensors, data pipeline and of course, developing and implementing the algorithms that make magic happen!
The team is growing, and we have an exciting opportunity for talented **Applied Scientist II and Senior Applied Scientists (Multiple Positions)** to drive and lead implementation of state-of-the-art AI algorithms for specific and general-purpose silicon on next generation devices and operating systems. This is a hands-on team lead task. You will have collaboration opportunities throughout the organization and will be building new stuff that really works and has millions of users.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Optimize, fine tune and transform models for edge device inferencing.
+ Contribute to the technical design, architecture, development, and evaluation of DNN models.
+ Collaborate with engineering and product development teams.
+ Contribute to a real-time system involving multiple components.
+ Assist in identifying and addressing issues in ML frameworks and associated hardware.
+ Mentor other engineers and contribute to team knowledge-sharing sessions.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM).
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM).
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
+ OR equivalent experience.
+ 2+ years of experience in deep learning with familiarity with Language models, transformers like BERT, GPT-2/GPT-3, Llama, OPT etc.
+ 2+ years' experience optimizing large language models, model compression, network distillation into small language models.
+ 2+ years' experience with Python.
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM).
+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ year(s) related experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM).
+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ years related experience with Machine Learning (ML), Natural Language Processing (NLP), Large Language Models (LLM
+ OR equivalent experience.
+ Experience in model quantization & optimization techniques such as GPTQ, LORA etc .
+ Demonstrated record of publications in top-tier conferences or journals (ICLR, ACL, ICML, CVPR, ICCV, ECCV, NeurIPS, TPAMI, etc.).
+ Experience in creating APIs, SDKs and software packages for third parties.
+ Experience using dataset curation, data generation using prompting state of art LLMs, automated model evaluation.
+ Experience with model conversion and deployment frameworks like ONNX is a plus.
+ Experience with other model frameworks like Pytorch or Tensforflowetc is a plus.
+ Demonstrated ability and passion for incubating new ideas, solving problems, and building working systems.
Applied Sciences IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $99,000 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 131,400 - 215,400 per year.
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD 119,800 - 234,700 per year.
There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD 158,400 - 258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: will accept applications and processes offers for these roles on an ongoing basis.
#W+Djobs
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
data analysis
Posted 13 days ago
Job Viewed
Job Description
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Work with management to prioritize business and information needs
- Locate and define new process improvement opportunities
- Proven working experience as a Data Analyst or Business Data Analyst
- Technical expertise regarding data models, database design development, data mining and segmentation techniques
- Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Company Details
Data Analysis
Posted today
Job Viewed
Job Description
Job Description
We are seeking an Data Analysis to become a part of our New Jersey team!
We offer competitive salary and benefit package.
Benefits Include 3 Weeks of PTO and Generous Compensation!
Department: Finance
Shift: 9:00am-5:00pm (Mon-Fri) (Full Time)
Responsibilities:
-
Analyze Customer GP Trend by payer source
-
Analyze Customer GP Trend by drug type (RX, B/G, IV, OTC, Misc charges)
-
Analyze Outside Customer data files for Contract compliance
-
Analyze Outside Customer data files for new pricing proposal
-
Review Customer Pricing detail to backup Customer Billing
-
Assure Customers are billed at contracted rate
-
Propose rates for customer price Re-negotiation
-
Review large Customer Pricing discrepancy when requested by client
-
Assist on projects involving data analysis
-
Brand Generic trend,
-
Overall pharmacy GP%
-
Part D reimbursement Trends
-
published pricing loaded in system
-
Review Cost and Sales for abnormal trends
-
Review billing errors and review process to correct going forward
Qualifications:
-
High School diploma or equivalent is required.
-
Long Term Care Pharmacy experience preferred.
-
Microsoft word, excel, PDF experience preferred.
-
Ability to analyze, organize and prioritize work accurately while meeting multiple deadlines.
-
Ability to communicate effectively in both oral and written form.
-
Ability to handle difficult and stressful situations with critical thinking and professional composure.
-
Ability to understand and follow instructions.
-
Ability to work independently and team player.
-
Other duties as assign by the Finance Manager
EEO Statement
Specialty Rx, INC is fully committed to employing a diverse workforce. We recruit and retain talented individuals without regard to gender, race, age, marital status, disability, veteran status, sexual orientation and gender identity or any other status protected by federal, state or local law.
EO/Minorities/Females/Disabled/Veterans
Please apply here
Requirements
Data Analysis
Posted 6 days ago
Job Viewed
Job Description
Goal/Metric Tracking:
- Assistance in maintaining metrics essential for accurate reporting to management on this initiative.
- Experience in data analysis and reporting
- Proficiency in all Microsoft office productivity products, including excel
- Basic understanding of application architecture and IT infrastructure
- General understanding of Software Asset Management concepts
- Excellent collaborative skills
- Ability work on multiple activities simultaneously
- Experience in working in a team environment with responsibilities that are time sensitive
Data Analysis Scientist
Posted today
Job Viewed
Job Description
Data Analysis Scientist
The Opportunity:
As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors-from fraud detection to cancer research to national intelligence-we need you to help find the answers in the data.
On our team, you'll use your analytical skills and data science knowledge to create real-world impact. You'll work closely with your clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can't wait.
You Have:
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with statistical and general-purpose programming languages for data analysis
Experience analyzing structured and unstructured data sources
-
Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
Knowledge of text mining or machine learning techniques
Secret clearance
Bachelor's degree
Nice If You Have:
2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with Machine Learning, AI or NLP
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
TS/SCI clearance with a polygraph
Master's degree
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.
- If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility.
- If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
Manager, Data Analysis
Posted today
Job Viewed
Job Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- 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 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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 LLP (the U.S. member firm of KPMG International) 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 the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
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.
Be The First To Know
About the latest Applied scientists Jobs in United States !
Manager, Data Analysis
Posted today
Job Viewed
Job Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- 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 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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 LLP (the U.S. member firm of KPMG International) 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 the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
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.
Manager, Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- 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 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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 LLP (the U.S. member firm of KPMG International) 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 the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
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.
Manager, Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Manager, Data Analysis to join our Digital Nexus technology organization. This is a hybrid work opportunity.
Responsibilities:- Collaborate with business stakeholders to understand and document detailed data requirements, including data interfaces and mappings
- Perform data analysis, interpret data, and participate actively in data sourcing activities, acting as the subject matter expert (SME) for data-related inquiries
- Create and maintain comprehensive business and technical requirement documents to guide data initiatives; design and implement robust data quality checks and support data modeling efforts to ensure high data integrity and usefulness
- Participate actively in project management processes, including effort estimation, attending regular meetings with project managers and developers, and contributing to the creation of test plans, project plans, and implementation plans
- Work closely with developers to ensure proper understanding and adherence to data specifications; support quality assurance processes and user acceptance testing to ensure data solutions meet business requirements
- Provide ongoing post-production support for maintenance and enhancement of data solutions; lead and mentor other team members, promoting best practices in data modeling, data quality, and metadata management
- Minimum five years of recent experience in data analysis, data sourcing, and integration
- Bachelor's degree from an accredited college or university is preferred
- Proficiency in SQL for querying and managing SQL databases, and experience with data analysis tools such as Alteryx
- Practical experience in data warehousing, business intelligence, and data quality projects; familiarity with working with Big Data technologies, particularly with Azure Data Lake
- Demonstrated ability to design and develop complex data mappings, sessions, workflows, and identify optimization opportunities
- Excellent problem-solving skills and the ability to work independently and within a team; strong communication skills to effectively interact with technical and non-technical stakeholders
- 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 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, the firm 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 the firm publishes a calendar of holidays to be observed during the year and provides two firmwide 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 LLP (the U.S. member firm of KPMG International) 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 the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site).
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.