Senior Data Scientist jobs at Logistics Management Institute - 1673 jobs
Data Engineer - Clearance Required
Logistics Management Institute 4.9
Senior data scientist job at Logistics Management Institute
LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health & Fitness (H2F) initiative as a member of the Analytics functional team within the H2F Program Support Team.
The Data Engineer is responsible for designing, building, and maintaining data pipelines and data services that enable scientific analysis, analytics, and user engagement activities within the Holistic Health and Fitness Management System (H2FMS). This role focuses on data ingestion, transformation, storage, and accessibility, ensuring that data supporting research, analytics, and decision support is reliable, well-structured, and available for authorized use.
The Data Engineer works closely with the Technical Project Manager, data governance specialists, epidemiologists, research psychologists, tactical sports scientists, datascientists, and software teams to translate analytic and research requirements into scalable data solutions under Government direction. This role does not set independent data policy or analytic strategy.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Design, develop, and maintain data ingestion and transformation pipelines supporting H2FMS analytics and research use cases.
Integrate data from multiple sources, including surveys, wearable and performance data, health and injury datasets, and operational systems as directed.
Ensure pipelines are reliable, scalable, and support downstream analytic and reporting needs.
Support development of analytic data models optimized for reporting, dashboards, and advanced analytics.
Work with data governance staff to ensure data models align with approved data definitions and standards.
Assist with management of structured and semi-structured data stores used within H2FMS.
Enable data access and preparation for datascientists and AI/ML engineers, ensuring data is usable for modeling and analysis.
Support feature preparation and data validation activities under Government and senior analytic direction.
Assist in troubleshooting data-related issues impacting analytics or models.
Support monitoring and resolution of data quality issues, including completeness, consistency, and timeliness.
Implement basic validation, logging, and error-handling mechanisms within data pipelines.
Coordinate with data governance and analytics teams to address recurring data issues.
Collaborate with epidemiologists, research psychologists, and tactical sports scientists to understand analytic data needs.
Coordinate with software teams to support integration between data services and application components.
Support documentation and communication of data pipeline designs and dependencies.
Qualifications
Required Qualifications
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.
Demonstrated experience building and maintaining data pipelines and data integration solutions.
Familiarity with data transformation, storage, and analytics enablement concepts.
Experience working with structured and semi-structured data.
Ability to collaborate effectively within multidisciplinary teams spanning analytics, research, and software.
Strong problem-solving and communication skills.
Ability to obtain and maintain a Secret security clearance.
Desired Qualifications
Experience supporting analytics or research-driven data environments.
Familiarity with cloud-based data services or analytics platforms.
Experience preparing data for dashboards, reporting, or AI/ML workflows.
Prior experience supporting DoW or federal customers.
Location & Travel
Duty Location: This position may be performed in a remote or hybrid capacity.
Travel: Limited travel to Fort Eustis, Virginia or LMI Headquarters may be required to support planning, integration, or stakeholder engagement.
Target salary range: $101,986 - $170,154
The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
We can recommend jobs specifically for you! Click here to get started.
$102k-170.2k yearly Auto-Apply 5d ago
Looking for a job?
Let Zippia find it for you.
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director
Ernst & Young Oman 4.7
San Francisco, CA jobs
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY-Parthenon - EY Growth Platforms - DataScientist - Director The opportunity
EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity.
With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence.
Within the EY-Parthenon service line, the EY Growth Platforms DataScientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Your key responsibilities
The EY Growth Platforms DataScientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands‑on experience solving some of the most interesting and mission‑critical business questions with data.
Skills and attributes for success
Lead ingestion and ETL design for structured and semi‑structured data (CSV, JSON, APIs, Flat Files).
Understand schema, data quality, and transformation logic for multiple sources on a client‑by‑client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
Build data access layers optimized for ML (feature stores, event streams, vector stores).
Define and enforce standards for data provenance, quality checks, logging, and version control.
Partner with AI/ML and Platform teams to ensure data is ML‑ and privacy‑ready (HIPAA, SOC2, etc.).
To qualify for the role you must have
A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
Expertise in cloud‑native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
Experience with merging and reconciling third‑party data (public APIs, vendor flat files, dashboards).
Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
Basic understanding of ML/feature pipelines and downstream modeling needs.
The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you will have
Experience working in a startup and/or management/strategy consulting.
Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
Collaborative, problem‑solving, and growth‑oriented mindset.
What we look for
We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer you
At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
#J-18808-Ljbffr
$205k-235k yearly 4d ago
Director, Growth Platforms Data Scientist
Ernst & Young Oman 4.7
San Francisco, CA jobs
A leading global consulting firm seeks a DataScientist - Director in San Francisco to drive AI solutions and data initiatives. The ideal candidate will lead multi-source data pipelines, architect complex data solutions while collaborating with business leaders. Candidates should have a strong educational background, extensive experience in data engineering, and proficiency with SQL and cloud-native infrastructure. This role offers a competitive salary range of $205,000 to $235,000 and promotes a hybrid working model.
#J-18808-Ljbffr
$205k-235k yearly 4d ago
Senior Data Scientist
Icon Consultants, LP 4.1
Houston, TX jobs
DataScientist (AI/ML) - Remote (US-Based Only)
Schedule: Monday-Friday, 8:30 AM-5:00 PM (Local Time)
Employment Type: Temp-to-Hire (Performance-Based)
Work Setup: Dual monitors + docking station required
Location Requirement: Must reside in one of the preferred states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY
outside greater NYC
, OH, TX, UT, WA
outside greater Seattle
, WI)
About the Role
We are seeking an experienced DataScientist (AI/ML) to develop, deploy, and optimize advanced machine learning solutions across healthcare-driven initiatives. This role focuses on data integrity, model development, agentic workflows, and the creation of predictive AI systems that directly support business and clinical decision-making. You will collaborate with cross-functional teams, perform complex analysis, and contribute to innovation within AI/ML for healthcare.
Key Responsibilities
Perform data analysis, error detection, and model validation to ensure high-quality datasets.
Design, develop, and train supervised, unsupervised, deep learning, and reinforcement learning models.
Implement agentic workflows to enable AI-driven autonomous task execution.
Leverage RAG (Retrieval-Augmented Generation) patterns to enhance language model performance.
Fine-tune pre-trained models for domain-specific datasets and applications.
Clean, preprocess, and transform data to support optimal model outcomes.
Deploy models into production, monitor real-time performance, and adjust as needed.
Partner with engineering, product, and business teams to integrate AI solutions into existing systems.
Maintain clear documentation on models, methodologies, and outputs.
Stay current with advancements in AI/ML and incorporate best practices into ongoing development.
Provide mentorship and technical leadership to junior datascientists.
Support business initiatives by developing ML models that drive Star Ratings improvements, reduce care gaps, and support healthcare outcomes.
Required Qualifications
US Citizenship Required
PhD or equivalent experience in a quantitative field
6+ years of experience as a DataScientist (healthcare preferred but not required)
Expertise in Python and R
Experience with ML frameworks: TensorFlow, Keras, PyTorch
Strong understanding of statistical methods including SVM, Naive Bayes, neural networks, k-NN
Experience designing agentic workflows or autonomous AI operations
Knowledge of RAG techniques and retrieval-augmented model development
Strong SQL/NoSQL experience; understanding of SDLC and data warehousing concepts
Proficiency in data visualization (Tableau, Power BI)
Strong analytical and problem-solving skills with the ability to handle complex datasets
Preferred Qualifications
Experience with Databricks, Snowflake, Azure AI Studio, or similar cloud AI platforms
Familiarity with NLP, LLM optimization, and computer vision techniques
Work Environment
Fully remote within approved states
Must be able to work from your local time zone
Dual monitors and docking station required for daily operations
$93k-133k yearly est. 4d ago
EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director
Ernst & Young Oman 4.7
McLean, VA jobs
Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
EY-Parthenon - EY Growth Platforms - DataScientist - Director
The opportunity
EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity.
With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence.
Within the EY-Parthenon service line, the EY Growth Platforms DataScientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients.
Your key responsibilities
The EY Growth Platforms DataScientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data.
Skills and attributes for success
· Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files).
· Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs.
· Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data).
· Build data access layers optimized for ML (feature stores, event streams, vector stores).
· Define and enforce standards for data provenance, quality checks, logging, and version control.
· Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.).
To qualify for the role you must have
· A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience.
· Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management.
· Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake).
· Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt).
· Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards).
· Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use.
· Basic understanding of ML/feature pipelines and downstream modeling needs.
· The ability and willingness to travel and work in excess of standard hours when necessary.
Ideally, you will have
· Experience working in a startup and/or management/strategy consulting.
· Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot.
· Collaborative, problem-solving, and growth-oriented mindset.
What we look for
We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more .
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************.
#J-18808-Ljbffr
$73k-105k yearly est. 3d ago
Data Scientist
Brooksource 4.1
Greenwood Village, CO jobs
Bilingual DataScientist
On-site in Greenwood Village, CO
$40-$50/hour
1-year long W2 contract with benefits
About the Role
Our client is seeking a bilingual (English + Spanish) DataScientist to take ownership of an in‑progress Large Language Model (LLM) project. The core solution is already built using GPT-based models, and the team has implemented recursive results and foundational architecture. Your role will be to continue model development, refine existing pipelines, improve performance, and support delivery ahead of the February deadline. You will work closely with cross-functional IT and data teams, transforming complex data into actionable insights while adhering to strict privacy, compliance, and organizational standards. This position is ideal for someone who thrives in fast-paced, research-driven environments and is comfortable working with modern AI tools and cloud technologies.
Key Responsibilities
Develop, refine, and productionize LLM‑based models, including a partially built GPT-driven solution.
Apply data science and machine learning techniques such as clustering, regression, decision trees, SVMs, k‑nearest neighbors, collaborative filtering, matrix factorization, and market basket analysis.
Conduct prompt engineering and retrieval‑augmented generation (RAG) workflows for model optimization.
Improve model accuracy, relevance, and stability using advanced data mining and NLP techniques.
Process and translate complex research data into clear, actionable insights.
Work collaboratively with IT teams to design and maintain models within technology and privacy guidelines.
Ensure strict adherence to data privacy and industry compliance standards.
Utilize Azure-based tools, including Azure Databricks, for model training, deployment, and scalability.
Communicate findings clearly in both English and Spanish, supporting bilingual model development and evaluation.
Build internal and external professional networks to validate ideas and collaborate on complex challenges.
Required Qualifications
1-5 years of professional experience as a DataScientist or in a similar analytical role.
Bilingual fluency in English and Spanish (written and verbal).
Practical experience working on AI or LLM-related projects (GPT or similar models).
Hands-on experience with:
Prompt engineering
Retrieval-Augmented Generation (RAG)
GPT-based or other LLM architectures
NLP techniques (SpaCy experience is a plus)
Strong analytical skills with proven experience using clustering, regression analysis, decision trees, SVMs, etc.
Proficiency with Azure cloud services, especially Azure Databricks.
Strong communication skills with the ability to translate technical content for non-technical audiences.
Demonstrated experience working with strict data privacy and data governance standards.
Preferred Skills
Experience with recursive model workflows.
Familiarity with SpaCy-based NLP solutions.
Exposure to industrial-grade computing environments or proprietary research tools.
Strong teamwork and collaboration abilities.
Why This Role Matters
The LLM solution is already underway, and the core architecture is in place. This role is crucial for ensuring final delivery-your contributions will directly influence model performance, bilingual capability, and the success of the product launch in February.
$40-50 hourly 1d ago
Data Scientist
Zimmerman Advertising 4.2
Fort Lauderdale, FL jobs
The DataScientist works closely with Retail Technology, Media and Account Services teams to provide predictive modeling of Marketing, Direct & Digital Efforts. We are looking for a motivated DataScientist and analytical thought leader. This is a rare opportunity to be part of a diverse and newly expanded analytics department and a great fit for a predictive modeler with a desire to impact business results.
Responsibilities
Apply specialized technical knowledge and expertise to perform reviews relating to the full life cycle of models, information technology applications, or risk management/analysis used across the company.
Collaborate and share knowledge with teams across the media organization, as appropriate. Build and maintain relationships with business partners at the manager and staff levels.
Use data analysis, mining, and migration techniques for enhanced targeting, audience segmentation, clustering, profiling, and regression analysis
Identify digital placement-level strengths and weaknesses across simultaneous campaigns and geographies
Develop and maintain internal automated reporting tools, documents, scoring systems, and dashboards for on-going and post-campaign reporting
Coordinate cross-functional reviews to discuss region- and campaign-specific findings and actionable recommendations for digital media campaigns built on various CPM, CPC, CPE, and CPA models
Identify and facilitate resolution of tagging issues in coordination with Traffic and Production teams focused on site-side tracking, reporting, and implementation
Provide client-facing/non-technical recommendations and insights, both in a written and verbal manner, that provide understandable and actionable optimizations.
Work with Media, Strategic Intelligence and Account Services teams to develop measurement plans to deliver on campaign and client objectives
Requirements
Bachelor's degree in related field
2-3 years experience in data and analytics field
Must demonstrate the ability to successfully develop and run analytics (scripts) using specialized tools and platforms, specifically, R, Python, SQL, and/or SAS.
Experience applying data synthesis, mining and regression techniques for enhanced targeting, audience segmentation, clustering, profiling, and insightful recommendations
Advanced knowledge of Microsoft Excel
General understanding of digital advertising, digital media strategy, ad placement type, placement-level insight, and standard media metrics
Experience with data orchestration tools such as Annalect Omni
Excellent verbal, written and interpersonal communication skills
Ability to work independently and as part of a team
Ability to manage multiple projects simultaneously while meeting deadlines
Regression modeling focusing on maximizing yield while measuring the diminishing returns of ad spend at scale for thousands of locations.
Data storytelling and presentation
$57k-82k yearly est. 4d ago
Data Scientist
Teksystems 4.4
Cary, NC jobs
- Master's or PhD Preferred! -Agentic AI experience - 5-10+ years of experience in AI and machine learning, model building, evaluation, and fine-tuning. - 2+ years of working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. UTILIZING RAG!
- Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
- NLP Experience (Named Entity Recognition, Sentiment Analysis, Text Summarization)
- Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
- DevOps repos Debugging, building APIs and managing the algorithm flow across multiple workstreams in one repo
- Senior level experience deploying models in the Cloud (AWS) or Azure as secondary.
*Description*
TEKsystems is partnered with a software company in Raleigh that needs to hire a SeniorDataScientist for their flagship product, a leading global provider of information and analytics. Recently our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Our client delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard's Citations functionality, and authoritative content.
The SeniorDataScientist will focus on search and be dedicated to the creation of next-generation AI and Machine Learning techniques and strategies for our client in their global expansion. This candidate will assist with deploying ethical, powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model for each individual legal use case. This approach includes working with large language models like Anthropic's Claude 2, hosted on Amazon Bedrock from Amazon Web Services (AWS), and OpenAI's GPT-4 and ChatGPT, hosted on Microsoft Azure.
ACCOUNTABILITIES
* Solve some of the most challenging problems in natural language processing, machine learning, and information retrieval including topical classification, sentiment analysis, user intent detection.
* Research, build, and deploy models based on both shallow and deep machine learning. Train robust NLP-based models a very large corpus of news and financial data.
* Apply machine learning techniques for improving search algorithms.
* Drive best practices for NLP/Machine Learning pipelines.
* Maintain current knowledge base of state-of-the-art ML algorithms (BERT, ELMo, GPT, etc.), API's, and open-source methods and be able to quickly evaluate alternatives.
* Translate complex business requirements into actionable stories with reasonable time estimates.
* Work with product leaders to apply data science solutions.
Strong coding skills in Python 7+ years- interviews need to be take without AI assistance
Be a natural problem solver, able to take a lead in collaborating to resolve issues
Proficiency in IDE debugging : VSCODE and PYCHARM
Have communication skills
4+ years of experience in AI and machine learning
Deep understanding of machine learning algorithms, classification models, diagnostic testing of models
Experience working directly and Transformer based architectures including BERT, RoBERTa, T5 etc. Nd familiarity with large language models and fine tuning
Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation
Working understanding of the business risks associated with applying LLM (LangChain) in a business
Experience working with AWS, RAG, SageMaker, SQL
*Skills*
data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model, Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning, Python, Machine learning, cloud computing
*Top Skills Details*
data science, nlp, indexing, semantic search, conversational search, langchain, Generative AI, Large language model ,Sql, aws, algorithm, artificial intelligence, Retrieval augmented generation, fine-tuning
*Additional Skills & Qualifications*
N/A
*Experience Level*
Expert Level
*Job Type & Location*This is a Contract to Hire position based out of Cary, NC.
*Pay and Benefits*The pay range for this position is $50.00 - $85.00/hr.
Eligibility requirements apply to some benefits and may depend on your job
classification and length of employment. Benefits are subject to change and may be
subject to specific elections, plan, or program terms. If eligible, the benefits
available for this temporary role may include the following:
* Medical, dental & vision
* Critical Illness, Accident, and Hospital
* 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
* Life Insurance (Voluntary Life & AD&D for the employee and dependents)
* Short and long-term disability
* Health Spending Account (HSA)
* Transportation benefits
* Employee Assistance Program
* Time Off/Leave (PTO, Vacation or Sick Leave)
*Workplace Type*This is a fully remote position.
*Application Deadline*This position is anticipated to close on Jan 26, 2026.
h4>About TEKsystems:
We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.
The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
About TEKsystems and TEKsystems Global Services
We're a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We're a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We're strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We're building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.
The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
$50-85 hourly 2d ago
Data Scientist
Mastech Digital 4.7
Irving, TX jobs
Contract Type: W2 Only
Job Title: DataScientist
We are seeking a mid-level DataScientist to join our team and help drive personalized customer experiences through customer segmentation and online experimentation. In this role, you will build and deploy machine learning models, design and analyze A/B tests, and translate business objectives into data-driven insights that directly influence marketing and product decisions.
This role is ideal for someone who enjoys combining statistical rigor, applied machine learning, and business impact in a fast-paced, collaborative environment.
Required Skills:
Research, prototype, and develop AI/ML solutions for customer segmentation and personalization.
Design, execute, and analyze online controlled experiments (A/B tests, multivariate tests) to validate hypotheses and measure business impact.
Build, deploy, monitor, and analyze machine learning models in production environments.
Apply statistical experimentation techniques when launching and iterating on AI-driven products.
Partner closely with data, product, marketing, and engineering teams to align solutions with business goals.
Translate complex analytical findings into clear, actionable insights for non-technical stakeholders.
Stay current with emerging tools, frameworks, and best practices in data science and experimentation.
Deliver high-quality work on time with a strong focus on research rigor, innovation, and engineering excellence.
Demonstrate measurable impact through data science applied to marketing and personalization use cases.
Basic Qualifications:
2+ years of experience in statistical data science, feature engineering, and customer segmentation.
2+ years of hands-on experience with Python, SQL, and PySpark.
2+ years of experience training, evaluating, and deploying machine learning models.
2+ years of experience productionizing ML workloads in AWS or Azure.
Familiarity with containerized deployments using Docker and/or Kubernetes.
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent practical experience.
Preferred Qualifications:
Experience working with the Databricks platform.
Experience building ML models using large-scale structured and unstructured data.
Exposure to MarTech ecosystems, such as: Customer Data Platforms (CDPs); Data Management Platforms (DMPs); Email Service Providers (ESPs)
Experience integrating data science solutions into marketing and personalization workflows.
$73k-98k yearly est. 13h ago
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Jose, CA jobs
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing Architecture
Data Architecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (DataScientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 2d ago
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Diego, CA jobs
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing Architecture
Data Architecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (DataScientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 4d ago
Data Architect - Power & Utilities - Senior Manager- Consulting - Location OPEN
Ernst & Young Oman 4.7
San Francisco, CA jobs
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector
EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures.
The opportunity
You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career.
As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints.
Your key responsibilities
In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include:
As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them.
Skills and attributes for success
To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include:
Technical Skills Applications Integration
Cloud Computing and Cloud Computing Architecture
Data Architecture Design and Modelling
Data Integration and Data Quality
AI/Agentic AI driven data operations
Experience delivering business use cases in Transmission / Distribution / Generation / Customer.
Strong relationship management and business development skills.
Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems.
Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements.
Collaborate with cross-functional teams (DataScientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives.
Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects.
Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions.
Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish data governance policies and practices, including data security, quality, and lifecycle management.
Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities.
To qualify for the role, you must have
A Bachelor's degree required in STEM
12+ years professional consulting experience in industry or in technology consulting.
12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions.
5+ years' experience with native cloud products and services such as Azure or GCP.
8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development.
In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration.
Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications.
Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably.
Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes.
Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations.
Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala.
Ability to design data solutions that can scale horizontally and vertically while optimizing performance.
Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads.
Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps).
Practical understanding of data encryption, access control, and security best practices to protect sensitive data.
Experience leading Infrastructure and Security engineers and architects in overall platform build.
Excellent leadership, communication, and project management skills.
Data Security and Database Management
Enterprise Data Management and Metadata Management
Ontology Design and Systems Design
Ideally, you'll also have
Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience.
Experience working at big 4 or a major utility.
Experience with cloud data platforms like Databricks.
Experience in leading and influencing teams, with a focus on mentorship and professional development.
A passion for innovation and the strategic application of emerging technologies to solve real-world challenges.
The ability to foster an inclusive environment that values diverse perspectives and empowers team members.
Building and Managing Relationships
Client Trust and Value and Commercial Astuteness
Communicating With Impact and Digital Fluency
What we look for
We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role.
FY26NATAID
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .
#J-18808-Ljbffr
$172.8k-374k yearly 3d ago
Databricks Data Engineer - Manager - Consulting - Location Open
Ernst & Young Oman 4.7
Palo Alto, CA jobs
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Technology - Data and Decision Science - Data Engineering - Manager
We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.
The opportunity
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:
Understanding and analyzing business requirements to translate them into technical requirements.
Designing, building, and operating scalable data architecture and modeling solutions.
Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Key Responsibilities
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:
Leading workstream delivery and ensuring quality in all processes.
Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.
Skills and attributes for success
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:
Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
Drive end‑to‑end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
Communicate effectively with stakeholders, including technical and non‑technical audiences, to convey complex data concepts and project progress.
Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
Strong analytical and problem‑solving abilities.
Excellent communication skills, with the ability to convey complex information clearly.
Proven experience in managing and delivering projects effectively.
Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have
Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred.
Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
Proven expertise in Databricks and experience with Spark for big data processing.
Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
Experience in leading and managing teams, with a focus on mentoring and developing talent.
Strong programming skills in languages such as Python, Scala, or SQL.
Excellent problem‑solving skills and the ability to work independently and as part of a team.
Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Managerial Role
Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs
Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you'll also have
Experience with advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices in data engineering.
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
What we look for
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.
FY26NATAID
What we offer you
At EY, we'll develop you with future-focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************.
#J-18808-Ljbffr
$150.7k-261.6k yearly 3d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Jose, CA jobs
A global consulting firm is seeking an experienced Senior Manager in Data Architecture to oversee innovative technology projects in the Power & Utilities sector. The ideal candidate should possess strong skills in data architecture, data modernization, and experience in consulting environments. Responsibilities include managing timelines, costs, and quality for driven outcomes while working with cross-functional teams to enhance client engagements. This position is crucial for driving data strategy and ensuring high-profile project deliveries while fostering client trust.
#J-18808-Ljbffr
$134k-185k yearly est. 2d ago
Databricks Data Engineer - Manager - Consulting - Location Open
Ernst & Young Oman 4.7
San Francisco, CA jobs
At EY, we're all in to shape your future with confidence.
We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Technology - Data and Decision Science - Data Engineering - Manager
We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.
The opportunity
In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:
Understanding and analyzing business requirements to translate them into technical requirements.
Designing, building, and operating scalable data architecture and modeling solutions.
Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.
Key Responsibilities
As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:
Leading workstream delivery and ensuring quality in all processes.
Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.
This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.
Skills and attributes for success
To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:
Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
Strong analytical and problem‑solving abilities.
Excellent communication skills, with the ability to convey complex information clearly.
Proven experience in managing and delivering projects effectively.
Ability to build and manage relationships with clients and stakeholders.
To qualify for the role, you must have
Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred.
Typically, no less than 4‑6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
Proven expertise in Databricks and experience with Spark for big data processing.
Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
Experience in leading and managing teams, with a focus on mentoring and developing talent.
Strong programming skills in languages such as Python, Scala, or SQL.
Excellent problem‑solving skills and the ability to work independently and as part of a team.
Strong communication and interpersonal skills, with a focus on client management.
Required Expertise for Managerial Role
Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.
Large-Scale Implementation Programs
Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e‑commerce platforms) to enable advanced analytics and reporting capabilities.
Real‑Time Analytics Platform: Managed the development of a real‑time analytics platform using Databricks for a financial services organization, enabling real‑time fraud detection and risk assessment through streaming data ingestion and processing.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud‑native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.
Ideally, you'll also have
Experience with advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices in data engineering.
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.
What we look for
We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.
What we offer you
At EY, we'll develop you with future‑focused skills and equip you with world‑class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.
We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.
Are you ready to shape your future with confidence? Apply today.
EY accepts applications for this position on an on‑going basis.
For those living in California, please click here for additional information.
EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
EY | Building a better working world
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.
EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1‑800‑EY‑HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************.
#J-18808-Ljbffr
$150.7k-261.6k yearly 4d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
Palo Alto, CA jobs
A prominent global consulting firm is seeking a Senior Manager in Data Architecture to work within the burgeoning Power & Utilities sector. This role requires a strong background in data architecture, cloud computing, and AI. Candidates should have a STEM degree and over 12 years of relevant experience, including leading teams and driving technology projects. The successful candidate will develop data solutions that enhance business outcomes and will be a trusted advisor to senior client stakeholders, with numerous opportunities for professional growth.
#J-18808-Ljbffr
$134k-185k yearly est. 4d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Diego, CA jobs
A global consulting firm is seeking a Senior Manager in Data Architecture for the Power & Utilities sector. The role demands expertise in data architecture and a strong consulting background. Responsibilities include leading technology projects, managing teams, and fostering client relationships. Ideal candidates will have deep knowledge of data solutions, project management skills, and a Bachelor's in a STEM field. This position offers a competitive salary range and flexible working conditions.
#J-18808-Ljbffr
$130k-181k yearly est. 4d ago
Senior Data Architect - Power & Utilities AI Platforms
Ernst & Young Oman 4.7
San Francisco, CA jobs
A leading global consulting firm is seeking a Senior Manager specializing in Data Architecture within the utilities sector. This role involves leading complex technology projects, impacting business outcomes through innovative data solutions. Candidates should have a strong background in data architecture, cloud technologies, and experience mentoring teams. The successful applicant will engage with clients, ensuring effective delivery and quality management within a dynamic consulting environment.
#J-18808-Ljbffr
$134k-185k yearly est. 3d ago
Full Stack Engineer - Data Engineer (Hybrid position)
The Planet Group 4.1
Irving, TX jobs
Senior Full Stack/Data Engineering (C#/.Net, Angular, Azure Databricks, AI/ML)
Pay rate: $50-55 per hour
Employment status: W2 (We can only consider candidates that do not require sponsorship via W2 status with us - C2C H1B candidates cannot be considered right now
Location: DFW area, must be onsite Tues, Wed, Thursday
Contract: 6+ months (chance to convert but not guaranteed)
Looking for a Senior Full Stack & Data Engineering Developer - 3-7 years experience range is ideal. This role spans scalable data pipeline development, ML workflow enablement, and full‑stack (.NET + Angular) engineering in Azure.
Core Responsibilities
Build and optimize data pipelines, ingestion, and transformation workflows (ADF, Databricks).
Enable ML workflows: data prep, feature engineering, deployment support.
Develop full‑stack applications (Angular front end + .NET APIs + SQL backend).
Collaborate with datascientists, architects, and product teams on end‑to‑end solutions.
Ensure data quality, performance, and security across platforms.
Troubleshoot production issues and support continuous improvement.
Contribute to architecture and technical decision‑making.
Skill Mix Breakdown
Angular / Front‑End: 25%
.NET / API / Backend: 25%
Azure + Data Engineering (ADF, Databricks, Azure SQL): 35%
ML / AI Exposure: 15%
Required Skills
3-5+ years with .NET, C#, APIs, and backend development.
Strong experience with Entity Framework, SQL/T‑SQL, and Databricks.
Proficient with Angular and Angular Material UI components.
Experience in Agile, CI, TDD environments.
Solid problem‑solving skills in distributed cloud systems.
Azure cloud experience (highly preferred).
Preferred Skills
Experience building or optimizing machine learning models or AI workflows.
Familiarity with NLP/statistical approaches for solutioning.
Exposure to tools such as Python, R, SAS, SQL, MATLAB, Java.
TypeScript experience.
$50-55 hourly 4d ago
Data Analytics Engineer
Yoh, A Day & Zimmermann Company 4.7
San Diego, CA jobs
Data Analytics Engineer (mid-level) Duration: contract through 03/2027 Pay Rate: $40-50/hr on W2 (contingent on experience) About the Role Sony Electronics is seeking a motivated and data-driven problem solver who thrives at the intersection of business and technology. As a Data Engineer/Analyst, you'll play a key role in transforming raw data into meaningful insights and scalable solutions that support decision-making across the organization.
This hybrid role blends technical engineering with analytical storytelling-perfect for someone early in their career who's eager to learn, grow, and make a real business impact. You'll collaborate with stakeholders to understand their data needs, analyze complex datasets to uncover trends and opportunities, and deliver insights that inform strategic decisions. You'll also work alongside senior engineers to enhance data pipelines and models, gaining hands-on experience with the infrastructure that powers analytics across Sony.
Key Responsibilities
· Collaborate with seniordata engineers and cross-functional teams to design, build, and maintain scalable data pipelines and analytics infrastructure
· Translate business requirements into reliable data models and prepare clean, well-organized datasets for self-service analytics
· Develop dashboards and reports using tools like Power BI to support data-driven decision-making and communicate insights effectively
· Contribute to existing codebases (e.g., Python, SQL), applying best practices for maintainable and scalable engineering
· Monitor data quality and availability, troubleshoot issues across environments, and ensure accuracy and consistency in analytics outputs
· Support ongoing improvements to data models, streamline access, and automate reporting workflows to enhance operational efficiency
Qualifications
· Bachelor's degree in Computer Science, Information Systems, Statistics, Business Analytics, or a related field
· Foundational experience with data analysis and programming (e.g., Python or similar)
· Familiarity with business intelligence tools such as Power BI
· Exposure to modern data platforms like Databricks, Snowflake, BigQuery, or Redshift
· Ability to interpret business needs and translate them into scalable, technical data solutions
· Strong communication skills for collaborating with technical and non-technical stakeholders
· Demonstrated problem-solving ability, curiosity, and eagerness to grow in a collaborative environment
Preferred Skills
· Hands-on experience with Databricks or similar cloud-based data platforms
· Proficiency in scripting languages for data analysis, such as Python, R, or equivalent
Solid understanding of ETL (Extract, Transform, Load) processes and foundational data modeling concepts
Estimated Min Rate: $40.00
Estimated Max Rate: $50.00
What's In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:
Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities
Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.
Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Visit ************************************************ to contact us if you are an individual with a disability and require accommodation in the application process.
For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh's hiring clients' preferences. To learn more about Yoh's privacy practices, please see our Candidate Privacy Notice: **********************************
$40-50 hourly 3d ago
Learn more about Logistics Management Institute jobs