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 ************************** .
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$205k-235k yearly 5d ago
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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.
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$205k-235k yearly 5d 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 **************************.
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$73k-105k yearly est. 4d ago
Senior Data Scientist - Semiconductors (ML/PySpark)
Tiger Analytics 4.2
San Francisco, CA jobs
A premier analytics consulting firm in California is seeking an experienced Senior DataScientist to develop and deploy innovative analytics solutions. You will leverage your skills in machine learning, Python, and SQL, collaborating with various teams to drive business value. The ideal candidate has over 7 years of experience and hands-on expertise in data science solutions, particularly within the Semiconductor industry. This position offers growth opportunities in a dynamic environment.
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$139k-190k yearly est. 4d ago
Senior Data Scientist - Semi Conductor - San Francisco
Tiger Analytics, LLC 4.2
San Francisco, CA jobs
Tiger Analytics is looking for experienced Senior DataScientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a DataScientist, you will apply strong expertise through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
Develop, test, and deploy data science solutions using Python, SQL, and PySpark on enterprise platforms such as Databricks.
Collaborate with datascientists to translate models into production-ready code.
Implement CI/CD pipelines and manage code repositories using GitHub Enterprise.
Design and optimize mathematical programming and machine learning models for real-world applications.
Work independently to break down complex problems into actionable development tasks.
Ensure code quality, scalability, and maintainability in a production environment.
Contribute to sprint planning, documentation, and cross-functional collaboration.
Collaborate, coach, and learn with a growing team of experienced DataScientists.
Stay connected with external sources of ideas through conferences and community engagements
7 years of experience working as a DataScientist
Hands-on experience with enterprise data science solutions, in Semi-conducor industry
Proficiency in Python, SQL, and PySpark.
Experience with Databricks or similar enterprise cloud environments.
Experience withproduction-level coding and deployment practices.
Familiarity with machine learning techniques and mathematical optimization methods.
Proficient indata science libraries and ML pipelines such as; NumPy, SciPy, scikit-learn, MLlib, PyTorch, TensorFlow.
Self-starter with anownership mindsetand the ability towork with minimal supervision.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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$139k-190k yearly est. 3d ago
Data Scientist for DoD Navy Analytics & ASW SHAREM
Thor Solutions, LLC 3.9
San Diego, CA jobs
A defense contracting company in San Diego is seeking a Mid-Level DataScientist to support the US Navy on a key project. Responsibilities include system administration for Naval Ship Tracking, software engineering for data analysis tool development, and database management. Ideal candidates have significant Navy network experience, Python expertise, and require a DoD Secret clearance. The position offers a competitive salary range of $63,750 - $89,250 and various benefits including medical and 401(k).
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$63.8k-89.3k yearly 4d ago
Data Scientist (Navy/DoD)
Thor Solutions, LLC 3.9
San Diego, CA jobs
THOR Solutions is actively seeking a Mid-Level DataScientist to support the US Navy Ship Anti-Submarine Warfare (ASW) Readiness and Effectiveness Measuring (SHAREM) at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA.
This position is associated with an upcoming contract that THOR is pursuing, with an estimated award/work start late 2025. We are conducting preliminary, “contingent” hiring for roles associated with this contract. The work start is dependent upon THOR being awarded this contract.
Typical Responsibilities:
System administration for Naval Ship Tracking, Reporting and Analysis Tool (NSTRAT) System, to monitor the application and/or services and troubleshoot issues affecting availability
Software Engineering and testing to develop data analysis tools and event reconstruction
Performs database entry, management, and monitors automated back-up
Performs database query analysis
Location:
Onsite at Surface and Mine Warfighting Development Center (SMWDC) in San Diego, CA.
Travel Requirements:
Up to 10% travel is anticipated.
Typical Physical Activity:
Primarily desk/computer work in an office environment. Periodic visits to waterfront/shipboard environments. May involve: repetitive motion, traversing shipboard environments (e.g., confined spaces, ladders, hatches), speaking or vision.
Typical Pay Range:
The anticipated pay range for this position in the identified location(s) is $63,750 - $89,250/year. Actual compensation offered will be based upon individual factors including education, qualifications, and experience.
Existing Security Clearance Required:
This position requires a DoD Secret security clearance. A qualified candidate must already possess an active or interim security clearance. A candidate with especially strong, relevant experience but no active security clearance may still be considered, but work start would be dependent upon a new Secret clearance being awarded.
Typical Knowledge, Skills, and Abilities:
High School diploma, GED, or equivalent
Five (5) years of Navy experience managing Navy computer networks
Three (3) years of experience using Python and other programming tools to script data analysis products
Hold and maintain certifications and/or training to maintain FLANKSPEED IL6 AZURE Privileged Access to include:
Scripting language such as Python with SQL server relational database
Security+ certification
AZURE Administrator Associate AZ-104
Proficient with common productivity software, including the Microsoft Office suite.
Excellent communication skills.
Benefit Offerings:
Along with competitive pay, THOR offers a comprehensive benefits package including:
Paid Time Off (accrued)
Paid Holidays
401(k) with employer match and traditional/Roth options
Medical Insurance (3 plan options) + TRICARE Supplemental Coverage
Dental Insurance (2 plan options)
Vision Insurance Plan
Healthcare and Dependent Care Flexible Spending Accounts
Commuter/Transit Benefits
Basic Life/AD&D, Short-Term and Long-Term Disability Insurance
Supplemental Life Insurance
Pet Benefits
Legal Resources
ID Theft Benefits
Employee Assistant Plan and Work-Life Program
Voluntary Leave Transfer Program
Tuition Reimbursement Program
Employee Referral Program
Please be aware that many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens.
THOR is proud to be an Equal Opportunity Employer, including veterans and individuals with disabilities. THOR considers all qualified applicants for employment without regard to legally protected characteristics. This policy applies to all terms and conditions of employment.
If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at *************************** or **************.
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$63.8k-89.3k yearly 4d ago
Senior Data Scientist I, GenAI
McKinsey & Company, Inc. 4.6
San Jose, CA jobs
Your Growth
You are someone who thrives in a high‑performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well‑rounded professional, and contribute to work that truly makes a difference.
When you join us, you will have:
Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast‑paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.
Your Impact
You'll work with the OneData organization focused on building enterprise data capabilities to support the Firm's data strategy.
Our team is distributed across multiple locations, including offices in North America and Europe. The OneData organization is dedicated to advancing the capabilities and applications of Generative AI within our firm, driving innovation, and delivering impactful AI solutions.
As a member of the OneData organization, you will collaborate with the data teams team to deliver state‑of‑the‑art generative AI automations.
You will experience what it's like to develop a generative AI product with a firm‑wide impact. You'll join a cross‑functional team of datascientists, engineers, designers, and product managers working on a high‑priority initiative. Leveraging cutting‑edge technology, we aim to revolutionize how we build data capabilities.
You will work hands‑on with the latest multimodal LLMs, conducting experiments and deploying production pipelines that utilize generative models (such as GPT‑like models) for automating data curation, data lineage, data quality checks, data products creation. This includes model training, fine‑tuning, evaluation, and iteration, enhancing creativity and content generation.
Your qualifications and skills
5+ years of experience as a DataScientist
Deep theoretical and practical knowledge of NLP, Transformers, LLMs, and Generative AI
Required experience with OpenAI's GPT suite, including previous experience with their multimodal LLMs: GPT4V, GPT4o
Theoretical understanding of how LLMs can be leveraged to build classification models and recommendation systems
Strong programming skills: well‑versed with building end‑to‑end data models and pipelines in Python according to the best engineering practices
Experience managing a Git repository - maintaining effective version control with organized & clean branching strategies
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$135k-180k yearly est. 1d ago
Senior GenAI Data Scientist - Multimodal LLMs & Impact
McKinsey & Company, Inc. 4.6
San Jose, CA jobs
A leading consulting firm is seeking an experienced DataScientist to join their OneData organization. You will work on revolutionary generative AI projects and collaborate with a talented team across various locations. The ideal candidate has over 5 years of experience and a strong background in NLP, Transformers, and data modeling. This role offers competitive compensation and exceptional benefits in a high-performance environment.
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$135k-180k yearly est. 1d ago
Jr. Data Scientist - Oracle Park
Aramark 4.3
San Francisco, CA jobs
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Aramark Sports + Entertainment is hiring a Junior DataScientist - Oracle Park, home of the San Francisco Giants, to support data analysis of food and beverage trends. This position will focus on data governance, advanced analysis and modeling, and data-backed recommendations to maximize opportunity.
About Data Science Group
The Data Science division is the epicenter of data analytics, uncovering impactful insights that put Aramark clients in the sports and entertainment industry ahead of the curve. Using leading-edge technology and analytics, Data Science synthesizes operational and consumer data to optimize strategies that enhance the guest hospitality experience and blaze a trail for innovation. Through continuous expansion of analytical capabilities and a comprehensive method of understanding the industry at large, Data Science harnesses the power of data as the most strategic asset in maximizing value for consumers, operators, and businesses alike.
COMPENSATION: The salary range for this position is $70,000 to $95,000. If both numbers are the same, that is the amount that Aramark expects to offer. This is Aramark's good faith and reasonable estimate of the compensation for this position as of the time of posting.
BENEFITS: Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources. Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage. Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works. For more information about Aramark benefits, click here Aramark Careers - Benefits & Compensation .
There is no predetermined application window for this position, the position will close once a qualified candidate is selected.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including, but not limited to, the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and the San Francisco Fair Chance Ordinance to the extent that those laws apply to the opportunity.
Job Responsibilities
Analyze consumer behavior at Oracle Park by leveraging purchasing and dining data to identify key customer segments. Present insights using statistical methods and engaging visualizations tailored to diverse stakeholder audiences.
Evaluate operational performance by integrating data from labor tracking, Point of Sale (POS), and inventory systems. Identify inefficiencies and recommend actionable improvements to enhance venue operations.
Conduct ad-hoc analyses to assess the effectiveness of short-term strategies. Collaborate with cross-functional teams to define success metrics and deliver timely, data-backed evaluations.
Support the development of automated reporting workflows that deliver key performance metrics to stakeholders, including Oracle Park operations and the San Francisco Giants
Assist in building scalable data pipelines using Python, R, and SQL to streamline data access and support analytics and reporting initiatives.
Perform machine learning experiments and model evaluation tasks under the guidance of the team's Lead DataScientist.
Qualifications
Must be legally authorized to work in the United States without the need for current or future employment-based sponsorship from Aramark.
Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, or a related field; equivalent practical experience may be considered.
1-3 years of experience in an analytical or data science role.
Proficiency in data manipulation and transformation using Python or R.
Familiarity with SQL for data querying and analysis.
Knowledge of data science workflows including data cleaning, feature engineering, and predictive modeling.
Effective organizational and time management skills, with the ability to manage multiple projects simultaneously.
Solid understanding of statistics, experimental design, and core data science concepts.
Strong communication skills with the ability to present findings and recommendations to technical and non-technical audiences.
Must be able to work in a hybrid (remote and in-office) environment
Must be able to work a flexible, event-driven schedule that aligns with business requirements as needed.
Preferred Qualifications:
Experience with data visualization tools (e.g., Power BI) and interactive app development (e.g., Streamlit, RShiny) is a plus.
Familiarity with cloud-based data platforms (e.g., Snowflake) is a plus.
Working knowledge of Git and version control best practices is a plus.
EducationAbout Aramark
Our Mission
Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.
At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.
About Aramark
The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing -a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at***************************** or connect with us on Facebook ,Instagram and Twitter .
Nearest Major Market: San Francisco
Nearest Secondary Market: Oakland
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$70k-95k yearly 4d 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 2d ago
Data Scientist
Us Tech Solutions 4.4
Sunnyvale, CA jobs
Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems.
Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
About Team:
Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, extensive selection that our customers value, whether they shop online through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.
What you'll do
Lead the design, development, testing, and global deployment of large-scale time series forecasting models (including Regression models and state of the art time series specific models for example N-BEAST, PatchTST) to support complex retail and e-commerce hierarchies. Introduce causal modeling approaches to conduct impact analysis for future forecast.
Continuously enhance forecasting strategies by incorporating advanced machine learning architectures, including RNNs (sequence modeling), CNNs (temporal feature extraction), and Attention-based mechanisms to improve accuracy, scalability, and robustness in time series forecasting.
Advance causal modeling frameworks to quantify event impacts and integrate causal insights into forward-looking forecasts.
Build and maintain experimentation pipelines (A/B testing, quasi-experiments, multi-armed bandits) for evaluating causal impacts of interventions.
Mentor junior scientists, review research and production code, and ensure reproducibility and scalability in pipelines.
Collaborate with engineering to implement forecasting + optimization systems in production (Airflow, Astronomer, Spark/Ray).
Act as technical lead on multiple projects, balancing research rigor with business delivery.
What you'll bring
Strong foundation in Time Series Forecasting, Causal Inference, Statistical Analysis, and advanced Machine Learning methods
Hands-on experience with a wide range of ML techniques, with a deep understanding of their advantages and limitations across different scenarios.
Ability to integrate statistical expertise with machine learning methods to maximize the value and interpretability of ML solutions.
Proficiency in Python, SQL, PyTorch, Spark/Ray, and stats/econometrics libraries.
Experience deploying ML systems at scale on cloud platforms (GCP/Azure).
Great to have
Publications and open-source contributions spanning the full spectrum of modern Machine Learning, from Statistical Learning (e.g., Bayesian modeling, causal inference, high-dimensional statistical methods) to Deep Learning (e.g., convolutional and transformer-based architectures) and Reinforcement Learning (e.g., dynamic programming, policy gradient methods).
Exposure to ML observability: drift detection, retraining triggers, and causality-informed monitoring.
Background in retail, e-commerce, or operations analytics.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Recruiter name: Ajeet Kumar
Recruiter's email id : *****************************
JobDiva ID :: JobDiva # 25-53396
$102k-149k yearly est. 2d ago
Principal Data Scientist
Us Tech Solutions 4.4
Sunnyvale, CA jobs
What you'll do...
Join Client as a Principal DataScientist to lead the development and deployment of advanced analytical models that drive strategic business decisions.
This role requires expertise in machine learning, statistical analysis, and coding to design scalable solutions addressing complex business challenges.
The position involves collaborating across functions to translate data insights into actionable strategies, mentoring team members, and ensuring high-quality data sourcing and validation.
The ideal candidate will apply innovative techniques to enhance data-driven decision-making and contribute to Client's continued growth and operational excellence.
About the team:
The Data Science team employs advanced analytical and modeling techniques to address complex business challenges.
They specialize in model assessment, validation, and deployment using tools such as Python, SQL, and machine learning frameworks.
Collaborating closely with business stakeholders, the team translates requirements into actionable insights and data-driven solutions.
Emphasizing rigorous statistical methods and data visualization, they ensure clear communication of findings.
The team promotes continuous learning and innovation, guiding members in best practices and emerging technologies to deliver impactful results aligned with business goals.
What you'll do:
Develop and implement advanced machine learning models to address complex business challenges and drive data-informed decisions.
Lead exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from data sources.
Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with strategic objectives.
Oversee model validation, tuning, deployment, and lifecycle management to ensure accuracy, robustness, and sustainability.
Mentor and guide team members on analytical techniques, coding best practices, and data visualization to enhance overall team capability.
Communicate findings effectively to stakeholders, supporting data-driven decision-making and continuous improvement initiatives.
What you'll bring:
Extensive experience in developing and deploying machine learning models using Python and related frameworks.
Proficiency in advanced statistical analysis and data visualization techniques to derive actionable business insights.
Strong knowledge of data sourcing, quality assessment, and management within complex business environments.
Expertise in model validation, tuning, and lifecycle management to ensure robust and scalable solutions.
Ability to translate business requirements into technical strategies and lead cross-functional teams effectively.
Familiarity with cloud platforms such as AWS SageMaker for scalable model development and deployment.
Demonstrated leadership in mentoring associates and driving continuous improvement in data science practices.
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
Option 3: 7 years' experience in an analytics or related field
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics,
Publications or active peer reviewer in related journals or conference,
Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch),
We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Client's accessibility standards and guidelines for supporting an inclusive culture.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************
US Tech Solutions 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.
Ensures effective and efficient operations through conducting operations analyses (i.e. operational effectiveness and capacity utilization), and recommends improvements.
Details
Job ID-26-00519
$102k-149k yearly est. 5d ago
Data Scientist
Kellymitchell Group 4.5
Irving, TX jobs
Our client is seeking a DataScientist to join their team! This position is located in Irving, Texas.
Build, evaluate, and deploy models to identify and target customer segments for personalized experiences and marketing
Design, run, and analyze A/B tests and other online experiments to measure the impact of new features, campaigns, and product changes
Research, prototype, and develop AI solutions for personalized systems and customer segmentation
Design and analyze online controlled experiments (A/B tests) to validate hypotheses and measure business impact
Build, deploy, and analyze AI solutions; perform statistical experiments when deploying new AI products
Desired Skills/Experience:
Bachelor's Degree in Computer Science/Engineering/Math, or relevant experience
2+ years of experience with statistical data science techniques, feature engineering, and customer segmentation
2+ years of experience with SQL, PySpark, and Python
2+ years of experience training, evaluating, and deploying machine learning models
2+ years of experience productionizing and deploying ML workloads in AWS/Azure
Experience working with MarTech platforms such as: CDPs, DMPs, ESPs and integrating data science into marketing workflows
Benefits:
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position starting at $115,000-$128,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
$115k-128k yearly 3d ago
Data Scientist
Mastech Digital 4.7
Irving, TX jobs
Basic Qualifications:
2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
2+ years of experience with SQL, PySpark and Python.
2+ years of experience training, evaluating and deploying Machine Learning models.
2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
Bachelor's Degree or higher in Computer Science/Engineering/Math, or relevant experience
Extra Credit:
Experience with Databricks platform.
Experience building ML models with large amounts of structured and unstructured data
$73k-98k yearly est. 5d 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. 1d ago
Crypto Data Platform Engineer (Full-Stack)
P2P 3.2
San Francisco, CA jobs
A leading blockchain technology firm is seeking a Full Stack Engineer to build data pipelines, APIs, and user interfaces for reporting systems. The role involves backend development, frontend design, and cross-functional collaboration. Ideal candidates have a degree in Computer Science and 3-5 years of experience in full-stack engineering, particularly with blockchain data. Competitive compensation offered at $150/hour.
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$150 hourly 3d ago
Data Pipeline Engineer for Enterprise ML
Axiom 4.7
San Francisco, CA jobs
A pioneering data solutions company in San Francisco is seeking a data engineer. In this role, you will build and maintain the infrastructure for enterprise ML systems, ensuring reliability while collaborating closely with ML and biology teams. This position is ideal for candidates excited about technology and its impact on drug safety. Expect a challenging environment with opportunities for personal and team growth.
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$128k-180k yearly est. 1d ago
Go Backend Engineer - Real-Time Data & Privacy Systems
Ketch 4.0
San Francisco, CA jobs
A leading tech startup based in San Francisco is seeking a Backend Engineer to develop high-performance Go microservices and APIs. This hybrid role requires experience in cloud-native environments and a strong understanding of distributed systems. The successful candidate will contribute to building systems that handle large data flows and implement resilient architectures. Compensation varies from $160,000 to $200,000 annually, depending on experience and qualifications, along with potential equity grants.
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$160k-200k yearly 1d ago
Lead Data Engineer
Kellymitchell Group 4.5
Denver, CO jobs
Our client is seeking a Lead Data Engineer to join their team! This position is located in Denver, Colorado.
Perform hands-on engineering and provide lead-level ownership to data engineering teams
Collaborate cross-functionally to solve complex business and technical challenges
Translate analytical requirements into actionable engineering solutions and conduct independent research and analysis to inform strategic decision
Perform data pipeline development/maintenance and build ETL processes from various sources into Snowflake, Azure, and Fabric
Design new data structures and explore how to leverage new tools or platforms
Desired Skills/Experience:
7+ years of professional experience, 2+ of those in a dedicated lead/management role
Comfortable bridging the gap between engineering teams and executives
Hands on technical work will be required, seeking experience in Python, SQL, and ETL
Experience working with cloud tools such as: AWS Fabric, Azure Databricks, Snowflake, Redshift
Benefits:
Medical, Dental, & Vision Insurance Plans
Employee-Owned Profit Sharing (ESOP)
401K offered
The approximate pay range for this position starting at $145,000 - $160,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.