Data Scientist jobs at DLA Piper - 2691 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 - Data Scientist - 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 Data Scientist 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 Data Scientist 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

A leading global consulting firm seeks a Data Scientist - 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

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 - Data Scientist - 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 Data Scientist 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 Data Scientist 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

A leading analytics firm located in Washington, DC is seeking a data analyst to collect and analyze statistics from various sources, conduct statistical modeling, and develop data visualization tools. The ideal candidate will strategize to identify new data opportunities and communicate findings to both business and IT leaders to drive organizational decisions. The company values employee growth and offers extensive training and development opportunities. #J-18808-Ljbffr

A premier analytics consulting firm in California is seeking an experienced Senior Data Scientist 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. #J-18808-Ljbffr

A defense contracting company in San Diego is seeking a Mid-Level Data Scientist 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). #J-18808-Ljbffr

THOR Solutions is actively seeking a Mid-Level Data Scientist 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 **************. #J-18808-Ljbffr

Data Scientist (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 Data Scientist (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 data scientists. 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 Data Scientist (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

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 data scientists, 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 Data Scientist 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 #J-18808-Ljbffr

A leading consulting firm is seeking an experienced Data Scientist 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. #J-18808-Ljbffr

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Aramark Sports + Entertainment is hiring a Junior Data Scientist - 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 Data Scientist. 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 #J-18808-Ljbffr

The Data Scientist 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 Data Scientist 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

is remote. Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities Gain exposure to a variety of program/project situations to develop business and organizational/planning skills Retain knowledge gained and performance feedback provided to transfer into future work Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions Collaborate with internal teams to collect, analyze, and automate data processing Leverage AI models, including LLMs, for developing intelligent solutions that enhance data-driven decision-making processes for both internal projects and external clients Leverage machine learning methodologies, including non-linear, linear, and forecasting methods to help build solutions aimed at better understanding the business, making the business more efficient, and planning our future Work under the guidance of a variety of Data Science team members, gain exposure to developing custom data models and algorithms to apply to data sets Gain experience with predictive and inferential analytics, machine learning, and artificial intelligence techniques Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members and end users Contribute to automating business workflows by incorporating LLMs and other AI models to streamline processes and improve efficiency Integrate AI-driven solutions within existing systems to provide advanced predictive capabilities and actionable insights Learn to work individually as well as in collaboration with others Desired Skills/Experience: Bachelor's degree is required in the field of Statistics, Computer Science, Economics, Analytics, or Data Science preferred 1+ year of experience preferred Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions preferred Combination of relevant experience, education, and training may be accepted in lieu of degree Benefits: Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered The approximate pay range for this position starting at $90,000 - $125,000. 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.

Contract Type: W2 Only Job Title: Data Scientist We are seeking a mid-level Data Scientist 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.

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. #J-18808-Ljbffr

We are seeking a Senior Data Engineer with deep, hands-on Snowflake experience to design, optimize, and support scalable data solutions in a fully remote, U.S.-based role. This position focuses on high-impact Snowflake work, including performance tuning, complex data challenges, and on-prem to cloud migration initiatives. The ideal candidate is highly technical, communicative, and comfortable working with messy, real-world data across multiple sources. Responsibilities Design, build, and optimize scalable data pipelines and data models in Snowflake Leverage advanced Snowflake features to improve performance, efficiency, and scalability Tune and optimize complex SQL queries and workloads Support and execute migrations from on-prem data environments to Snowflake Work with inconsistent, multi-source internal and external datasets Partner with stakeholders to gather requirements and translate them into technical solutions Document data processes, architectures, and optimization strategies Requirements Senior-level experience as a Data Engineer Minimum 2+ years of hands-on Snowflake experience, beyond basic querying Strong SQL skills with proven performance tuning and optimization experience Experience supporting or leading on-prem to Snowflake migrations Python experience or equivalent scripting language proficiency Experience working with complex, messy, or poorly structured data Strong written and verbal communication skills Must reside in the United States and be generally aligned to U.S. Eastern Time Nice to Have: Mortgage or financial services data experience Experience with Airflow, dbt, or similar orchestration tools Cloud platform experience (AWS, Azure, or GCP) Background in regulated or highly data-governed environments

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Reporting to the VP, Development & Data, build and lead a team responsible for leveraging data-driven insights and advanced analytics to optimize decision-making, improve operational efficiency, and drive strategic business value across the organization. You will guide the design and implementation of Grocery Outlet's data science, AI, and data governance programs-ensuring robust data management, governance practices, and the development of innovative AI-enabled solutions that support key business areas such as merchandising, supply chain, marketing, and operations. You will collaborate closely with senior stakeholders across Business Intelligence, Enterprise Data Architecture, and Business Solutions to align data and analytics investments with enterprise goals. You are a visionary, strategic leader who sees data and AI as powerful enablers of business success. You combine deep technical expertise in data science, AI, and analytics with strong business acumen and excellent stakeholder communication. You are passionate about turning data into actionable insights that move the needle. Requirements Experience & Expertise • 12+ years of experience in data science, analytics, or data governance roles • 5+ years leading data science, AI, or enterprise analytics functions at a senior level • Proven track record of successfully delivering AI and analytics solutions that drive measurable business impact • Deep knowledge of machine learning techniques, predictive modeling, statistical analysis, and data visualization tools • Strong understanding of data governance frameworks, data privacy, security, and regulatory compliance (e.g., CCPA, GDPR) • Experience building and scaling analytics and data teams within retail, consumer products, or supply chain organizations • Bachelor's degree in computer science, Data Science, Engineering, or related field required; Masters or advanced degree strongly preferred • Experience with SAP Data models and familiarity with various functions within SAP will be a big plus. Leadership & Skills • Exceptional executive communication and stakeholder engagement capabilities • Collaborative and inclusive leader who builds strong relationships across business and technology functions • Skilled at translating complex data concepts into clear business insights and strategic recommendations • Metrics-driven and outcome-focused; disciplined in demonstrating the ROI of analytics investments • Strong team-builder and mentor with a proven ability to attract, grow, and retain analytics talent • Innovative thinker who proactively explores new techniques, tools, and industry trends Job responsibilities Strategic Leadership & Vision • Define and execute comprehensive data science, data governance and AI strategy aligned with corporate priorities • Act as an influential advisor to executive leaders and business stakeholders on leveraging AI and data-driven insights • Champion the responsible and ethical use of AI and data, ensuring that all initiatives balance business value with transparency, security, and regulatory compliance • Lead the development and execution of Grocery Outlet's enterprise data governance framework AI & Data Science Development • Lead the vision and roadmap for advancing enterprise data capabilities and scaling AI, and advanced analytics across core business areas • Lead enterprise data development initiatives to improve data quality, cleanse and standardize master data • Drive close collaboration across the data team, business data organization, IT, and functional stakeholders to accelerate prototyping, testing, and deployment of analytics solutions • Stay current on emerging AI techniques, platforms, and trends; introduce innovation and best practices Data Governance & Management • Establish and enforce standards, policies, and procedures for data quality, accuracy, security, privacy, and compliance • Oversee the design and implementation of data lineage, and master data management (MDM) practices • Collaborate closely with Enterprise Data Architect to ensure data availability, integrity, and accessibility across the enterprise • Define and publish KPIs and metrics for data governance effectiveness and maturity • Recruit, build, and lead high-performing teams of data & AI engineers, and data governance specialists • Foster a culture of collaboration, accountability, and continuous learning within your teams • Provide coaching and professional development to drive growth and career progression • Manage relationships and performance with external vendors, consultants, and analytics partners Performance & Value Realization • Measure, track, and communicate the business impact and value of AI and data initiatives • Develop clear success criteria, metrics, and dashboards for analytics-driven outcomes • Partner with Finance and the PMO to quantify and articulate the ROI of investments in AI, data science, and governance. • Ensure transparency, timely delivery, and alignment of analytics projects with organizational goals. #J-18808-Ljbffr

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. #J-18808-Ljbffr