Explore 5 quantitative analytics jobs from 2 hiring companies in Lowell, AR, US. Filter by remote, salary, experience, and company, then open any listing to apply.

quantitative-analytics

Quantitative Analytics

Springdale

Rogers

Bentonville

Fayetteville

Centerton

Bella Vista

Siloam Springs

Cave Springs

Farmington

Johnson

Pea Ridge

Tontitown

Elm Springs

Little Flock

Neosho

Prairie Creek

Prairie Grove

Monett

Gentry

Quantitative Analytics Jobs

Walmart

Onsite

Hybrid

<h2>Position Summary...</h2>As Sr. Manager, Data Analytics for Walmart+ Core Ops &amp; Strategy Enablement, you will lead the development of scalable data foundations, frameworks, and consumption tools that power decision-making across Walmart+. You will shape how Walmart+ measures and interprets performance, defining the analytics strategy behind core metrics and ensuring both new and existing initiatives are supported by robust, actionable insights and scalable frameworks. This role partners closely with internal cross-functional teams, including Acquisition, Retention, Engagement and Operations, to enable strategic initiatives across one of Walmart’s most strategic and fastest-evolving growth businesses.<h2>What you&#39;ll do...</h2><ul><li>Bring data to life through compelling storytelling, translating complex insights into clear narratives that resonate with senior stakeholders and shape the direction of Walmart&#43; strategy.</li><li>Define the measurement, insights, and reporting strategy for core Walmart&#43; metrics and key initiatives.</li><li>Build scalable data foundations and consumption tools by transforming complex data into automated pipelines and reusable assets that power self-service insights.</li><li>Design intuitive dashboards and reporting experiences that go beyond descriptive metrics.</li><li>Define and champion best practices for deep dive analysis, dashboard development, and measurement frameworks.</li><li>Communicate insights and recommendations clearly to senior stakeholders, translating complex performance data into simple, compelling narratives that shape Walmart&#43; strategy.</li></ul><h2> What you&#39;ll bring...</h2><ul><li>A member- and customer-first mindset: you anchor every insight and recommendation in how it drives real value for Walmart&#43; members, keeping the customer and member perspective at the center of every decision.</li><li>A clear and persuasive ability to translate data into compelling narratives: you connect insights to strategy in a way that resonates with senior stakeholders and drives informed decision-making</li><li>A sharp eye for turning data into visual clarity: you design intuitive, self-service dashboards and tools that communicate insights effectively and empower stakeholders to explore performance.</li><li>Mentor and support junior team members or peers, contributing to a high-performing and collaborative team environment.</li></ul>
 
About the team The Walmart&#43; Core Ops &amp; Strategy Enablement Data team plays a vital role within the Walmart&#43; ecosystem by creating scalable tools that simplify complex data into actionable insights. The team conducts in-depth analyses to guide strategic initiatives and develops rigorous experimentation frameworks. Collaborating closely with cross-functional partners, they deliver advanced insights that extend beyond basic reporting to reveal performance drivers and underlying causes. This team leverages expertise in big data, SQL, Python, and Tableau to empower informed decision-making and support continuous improvement across the business. 
 
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
 
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. 
 
For information about PTO, see <a href="https://one.walmart.com/notices" target="_blank" rel="noopener noreferrer">https://one.walmart.com/notices</a>. 
 
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. 
For information about benefits and eligibility, see <a href="https://one.walmart.com/">One.Walmart</a>. 
 
Bentonville, Arkansas US-30008: The annual salary range for this position is $90,000.00 - $180,000.00 
 
Hoboken, New Jersey US-10279: The annual salary range for this position is $108,000.00 - $216,000.00 
 
 
Additional compensation includes annual or quarterly performance bonuses. 
 
Additional compensation for certain positions may also include : 
- Stockㅤㅤㅤㅤ‎ <h2></h2><h2>Minimum Qualifications...</h2>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 4 years' experience in data analysis, data science, statistics, or related field. Option 2: Master's degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in data analysis, data science, statistics, or related field. Option 3: 6 years' experience in data analysis, data science, statistics, or related field. 1 year's supervisory experience.<h2></h2><h2>Preferred Qualifications...</h2>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Working on cross-functional teams or projectsMasters: Business AdministrationProject Management - Project Management Professional - Certification<h2></h2><h2>Primary Location...</h2>1601 SE 10th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Senior Manager, Data Analytics (Walmart+)

Senior Manager, Data Analytics

Bachelor’s or Master’s in a quantitative field with 4 years (Bachelor) or 2 years (Master) of data analytics experience, or 6 years of data analytics experience; at least 1 year supervisory experience.

<h2>Position Summary...</h2>We are seeking a highly skilled Staff Data Scientist to join the Decision Sciences team at Walmart, supporting US Store Operations. In this role, you will lead advanced analytics, experimentation, and measurement efforts that enable data-driven decisions across store operations initiatives. You will partner with business and technical stakeholders to define success metrics, evaluate impact, and generate insights that improve operational outcomes. A key part of this role is supporting and enhancing the experimentation and measurement platform developed by the team, with a focus on automation, scale, and usability. The ideal candidate combines strong statistical and machine learning expertise with business acumen, platform thinking, and the ability to influence across functions. This role also requires going beyond experiment readouts by conducting deep dives that help the business understand the true impact of initiatives, what drove value, what did not, and what actions should be taken next.<h2>What you&#39;ll do...</h2><div><div>Responsibilities </div><div><ul><li>Partner with US Store Operations and cross-functional stakeholders to identify high-impact problems and translate them into experimentation, measurement, and analytical solutions.  </li></ul></div><div><ul><li>Design and interpret experiments and measurement frameworks, including defining success metrics, KPIs, and guardrails for key initiatives.  </li></ul></div><div><ul><li>Apply causal inference, statistical modeling, and machine learning to evaluate impact and generate actionable insights.  </li></ul></div><div><ul><li>Conduct post-experiment deep dives to understand true business impact, identify value drivers, and determine what worked, what did not, and the best next course of action.  </li></ul></div><div><ul><li>Analyze changes in key metrics and perform root-cause analyses to uncover opportunities for operational improvement.  </li></ul></div><div><ul><li>Enhance the team’s experimentation and measurement platform through automation, scalability, and improved analytical rigor.  </li></ul></div><div><ul><li>Communicate findings and recommendations clearly to business and technical stakeholders, including senior leadership. </li></ul></div><div>Qualifications </div><div><ul><li>Master’s or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or a related quantitative field. </li></ul></div><div><ul><li>5&#43; years of experience in data science, decision science, experimentation, or advanced analytics roles. </li></ul></div><div><ul><li>Strong expertise in experimentation, A/B testing, quasi-experimental methods, and causal inference. </li></ul></div><div><ul><li>Hands-on experience building and applying statistical, predictive, and machine learning models to solve business problems. </li></ul></div><div><ul><li>Strong programming skills in Python and SQL with experience writing production-quality, scalable, and maintainable analytical code. </li></ul></div><div><ul><li>Experience building analytical frameworks and translating ambiguous business problems into measurable solutions. </li></ul></div><div><ul><li>Familiarity with data visualization and storytelling tools to communicate insights effectively. </li></ul></div></div><div><div><ul><li>Strong stakeholder management and communication skills, with the ability to influence decisions across business and technical teams. </li></ul></div><div><ul><li>Ability to operate in a fast-paced environment, manage multiple priorities, and deliver high-quality work with urgency. </li></ul></div><div>Preferred Qualifications </div><div><ul><li>Experience in retail, store operations, supply chain, or other operational business environments. </li></ul></div><div><ul><li>Experience contributing to or enhancing internal data science platforms, experimentation platforms, or measurement systems. </li></ul></div><div><ul><li>Experience with workflow automation, scalable analytical tooling, or decision-support systems. </li></ul></div><div><ul><li>Exposure to or hands-on experience with agent-based systems, AI agents, or LLM-enabled workflow automation. </li></ul></div></div>ㅤㅤㅤㅤ‎ <h2></h2><h2>Minimum Qualifications...</h2>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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<h2></h2><h2>Preferred Qualifications...</h2>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, 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 Walmart’s accessibility standards and guidelines for supporting an inclusive culture.<h2></h2><h2>Primary Location...</h2>802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Staff, Data Scientist - Experimentation & Measurement

Data Scientist

Masters or PhD in a quantitative field; 5+ years in data/science roles; strong experimentation, causal inference, ML; Python/SQL; analytics platform experience.

<h2>Position Summary...</h2>Role Overview and Strategic Impact The Staff Data Scientist within the Walmart US Decision Sciences team is a high-impact technical leader and a vital "thinking partner" to the US Store Operations executive team. Operating at the critical intersection of sophisticated data science and high-stakes retail strategy, this role is responsible for architecting the future of retail operations. You will not merely execute technical tasks; you will serve as a strategic bridge, translating complex methodologies into the actionable intelligence required to navigate the world’s largest retail landscape. Success in this position requires a masterful synthesis of machine learning, operations research, and sharp business acumen. The Staff Data Scientist’s primary value lies in the ability to embrace and resolve extreme ambiguity—defining the problem before solving it. By moving beyond one-off reports toward "platform thinking," you will create scalable solutions that transform vast datasets into a narrative for strategic change. This role is fundamental to modernizing US Store Operations, ensuring that every operational shift is backed by rigorous data-based evidence and prescriptive foresight.<h2>What you&#39;ll do...</h2>Key Responsibilities and Value DriversThe responsibilities of a Staff Data Scientist extend far beyond technical execution to include organizational mentorship and the setting of technical standards. As a senior leader, you will exert cross-functional influence to deliver measurable outcomes that define the standard for excellence within the Decision Sciences team.<ul><li>Strategic Partnership &amp; Stakeholder Management: By partnering directly with US Store Operations leadership, you will manage expectations and align technical roadmaps with core business priorities.  This ensures that data science initiatives are never siloed but are instead driving the broader organizational roadmap, influencing how leadership identifies and pursues new ways to improve operational outcomes.</li><li>Advanced Analytical Modeling (Causal &amp; Predictive): You will apply advanced causal inference modeling and deploy supervised/unsupervised machine learning models to identify hidden variables. By identifying true causal relationships rather than simple correlations, you move the organization from reactive analysis (what happened?) to prescriptive action (what will happen if we change X?), allowing for high-certainty strategic interventions.</li><li>Metric Optimization &amp; Deep Dives: You will conduct exhaustive deep dives into metric fluctuations to provide concrete, data-backed recommendations for Store Operations. These deep dives transform noise into signals, preventing reactive decision-making and ensuring that US Store Operations leadership invests human and financial resources only in high-certainty interventions.</li><li>Technical Standard-Setting: A non-negotiable requirement of this role is experience in delivery of production-quality, scalable, and maintainable code. As a Staff-level individual contributor, you set the bar for the entire team, ensuring that models are robust, reusable tools capable of performing at Walmart’s massive global scale.</li></ul>Core Qualifications and Technical ProficiencyTo succeed in Walmart’s fast-paced environment, candidates must possess a formidable academic foundation and the professional maturity to solve ambiguous problems with urgency.<ul><li>Academic Foundation: A master’s or PhD degree in a quantitative discipline—Computer Science, Statistics, Economics, Mathematics, or Operations Research—is required to navigate the mathematical complexities of Decision Sciences.</li><li>Professional Experience: You must bring 5&#43; years of experience in data science or operations research. While deep technical skill is mandatory, prior experience in retail or supply chain domains is highly preferred to provide the necessary context for complex operational workflows.</li><li>Technical Stack for Scalability: Proficiency in Python and SQL is essential, framed through the lens of building scalable ML solutions. You must demonstrate the ability to transform ambiguous, real-world business problems into automated, measurable solutions that function within a massive production environment.</li><li>Communication &amp; Strategic Storytelling: Data visualization is a core competency, not an add-on. You must possess the ability to influence both technical peers and non-technical executives by translating complex model outputs into compelling narratives for change.</li></ul>While these core competencies are mandatory for daily execution, the Decision Sciences team prioritizes candidates who possess the vision to contribute to our future-state capabilities.Preferred Differentiators and Future-State CapabilitiesWe seek candidates who look beyond the immediate task to enhance the broader analytical ecosystem, moving the team toward highly automated, agentic systems.<ul><li>Platform &amp; System Enhancement: Experience contributing to internal data science platforms, experimentation frameworks, or measurement systems. We value &#34;platform thinking&#34;—the transition from bespoke analyses to reusable tools that empower the entire organization.</li><li>Automation &amp; Decision Support: Proven expertise in workflow automation and the development of scalable decision-support systems that reduce manual intervention for store leadership.</li><li>Emerging AI &amp; Agentic Systems: Hands-on experience or significant exposure to AI agents, LLM-enabled workflows, and agent-based systems. This expertise is a significant strategic advantage as we transition into next-generation AI applications for Store Operations.</li></ul>The ideal candidate is a unique blend of technical visionary and strategic influencer. Ready to operate with urgency and precision, the Staff Data Scientist is a high-impact leader poised to redefine the efficiency and effectiveness of Walmart US Store Operations through the power of Decision Science.ㅤㅤㅤㅤ‎ <h2></h2><h2>Minimum Qualifications...</h2>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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field<h2></h2><h2>Preferred Qualifications...</h2>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, 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 Walmart’s accessibility standards and guidelines for supporting an inclusive culture.<h2></h2><h2>Primary Location...</h2>802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Staff, Data Scientist

Master’s or PhD in a quantitative field; 5+ years in data science/operations research; Python and SQL proficiency; retail/supply chain experience preferred; strong communication and storytelling.

<h2>Position Summary...</h2>The Manager, Compensation Partner serves as a strategic advisor to Walmart U.S. Merchandising and eCommerce leadership, responsible for designing, analyzing, and executing competitive compensation programs that directly support business outcomes. This role moves beyond administrative compensation cycles to deliver data-driven, market-informed reward strategies that attract, retain, and motivate top retail and digital talent. The Manager partners closely with People, Finance, and Legal leaders to ensure compensation solutions are market-competitive, fiscally responsible, and compliant with regulatory requirements. About the Team Join the Compensation Partners team within Walmart’s Total Rewards organization, a high-performing group that supports the Walmart U.S. enterprise. As embedded business partners, the team collaborates closely with People Business Partners and business leaders to align enterprise compensation philosophy with business-specific needs. The culture emphasizes analytical rigor, collaboration, and shared success, with clear development paths into senior and specialized roles within Total Rewards and broader HR leadership.<h2>What you&#39;ll do...</h2><div>Strategic Business Partnership</div><div>• Build deep relationships with senior leaders to understand business strategies and talent priorities.</div><div>• Act as a trusted advisor and challenger partner, using data and business logic to influence compensation and talent investment decisions.</div><div>Compensation Strategy &amp; Program Design</div><div>• Design, develop, and implement compensation programs and incentives aligned with business needs, global guidelines, and pay-for-performance principles.</div><div>• Support leadership in structuring rewards solutions that drive attraction, retention, and engagement in a high-growth retail and digital environment.</div><div>Market Benchmarking &amp; Job Architecture</div><div>• Lead job evaluation, benchmarking, and market pricing activities, particularly for roles at the intersection of retail, merchandising, and technology.</div><div>• Manage relationships with external survey providers and ensure accurate, competitive market insights.</div><div>Financial &amp; Data Analysis</div><div>• Conduct advanced compensation modeling and scenario analysis to evaluate the impact of pay decisions.</div><div>• Translate complex analytics and market intelligence into clear executive narratives and recommendations.</div><div>Cross-Functional Collaboration</div><div>• Partner with Finance, Legal, People, and external vendors to ensure programs are consistent, compliant, and fiscally sustainable.</div><div>• Balance business-unit customization with enterprise frameworks and governance.</div><div>Communication &amp; Enablement</div><div>• Develop and deliver executive presentations, training materials, and compensation communications.</div><div>• Educate leaders and stakeholders on compensation philosophy, programs, and decision-making frameworks.</div><div>Compliance &amp; Governance</div><div>• Ensure adherence to federal, state, and local compensation laws and regulations.</div><div>• Drive continuous improvement in internal equity, pay practices, and process excellence.</div><div>  </div><div>What You’ll Bring</div><div></div><div>• 3–6&#43; years of progressive experience in compensation, total rewards, or human capital advisory roles.</div><div>• Proven experience designing, executing, and evaluating compensation programs aligned with business strategy.</div><div>• Strong analytical and financial modeling skills (advanced Excel required; Tableau/Power BI preferred).</div><div>• Demonstrated ability to influence senior leaders with clear, data-driven recommendations.</div><div>• Deep knowledge of compensation benchmarking, salary surveys, and job valuation in both global and local contexts.</div><div>• Excellent communication and presentation skills with executive presence.</div><div>• Bachelor’s degree in a quantitative or business-related field (Finance, Economics, HR, etc.); MBA or advanced degree preferred.</div>
 
 At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
 
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. 
 
For information about PTO, see <a href="https://one.walmart.com/notices" target="_blank" rel="noopener noreferrer">https://one.walmart.com/notices</a>. 
 
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. 
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. 
For information about benefits and eligibility, see <a href="https://one.walmart.com/">One.Walmart</a>. 
 
The annual salary range for this position is $80,000.00 - $155,000.00 
 
Additional compensation includes annual or quarterly performance bonuses. 
 
Additional compensation for certain positions may also include : 
- Stockㅤㅤㅤㅤ‎ <h2></h2><h2>Minimum Qualifications...</h2>Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in finance, human resources, business, or related area. Option 2: 4 years' experience in compensation, finance, human resources, or related area.<h2></h2><h2>Preferred Qualifications...</h2>Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.Certified Compensation Professional (CCP) certification., Data analysis and market research., Global Compensation, Professional in Human Resources (PHR) certification.<h2></h2><h2>Primary Location...</h2>806 Excellence Dr, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

Manager, Total Rewards - Compensation Partner (Walmart U.S. - Merchandising & eCommerce)

Manager, Total Rewards - Compensation Partner

3–6+ years in compensation/total rewards; experience designing and evaluating programs; strong analytics; influence senior leaders; Bachelor's in quantitative/business field; MBA preferred.

Industry/SectorNot ApplicableSpecialismOracleManagement LevelSenior AssociateJob Description &amp; SummaryAt PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to work with data and derive insights from it. You will be responsible for tasks such as data collection, data cleansing, data transformation, data modelling, data visualisation, and data analysis using Oracle tools like Oracle Database, Oracle Analytics Cloud, Oracle Data Integrator, Oracle Data Visualization, and Oracle Machine Learning.Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:<ul><li>Respond effectively to the diverse perspectives, needs, and feelings of others.</li><li>Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.</li><li>Use critical thinking to break down complex concepts.</li><li>Understand the broader objectives of your project or role and how your work fits into the overall strategy.</li><li>Develop a deeper understanding of the business context and how it is changing.</li><li>Use reflection to develop self awareness, enhance strengths and address development areas.</li><li>Interpret data to inform insights and recommendations.</li><li>Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm&#39;s code of conduct, and independence requirements.</li></ul>The OpportunityAs part of the DCM AI Labs team, you will develop innovative AI and machine learning systems that drive impactful solutions. As a Senior Associate, you will analyze complex problems, mentor junior team members, and build meaningful client relationships while navigating the evolving landscape of technology. This role offers the chance to deepen your technical knowledge and grow your personal brand in a dynamic environment.Responsibilities- Design and implement advanced AI and machine learning solutions- Analyze intricate challenges and provide actionable insights- Mentor and guide junior team members in their professional development- Cultivate meaningful relationships with clients to understand their needs- Navigate the rapidly changing technology landscape effectively- Enhance personal knowledge and contribute to team insights- Collaborate with cross-functional teams to deliver exceptional outcomes- Uphold professional standards and ethical practices in every engagementWhat You Must Have- Bachelor&#39;s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field- At least 3 years of professional experience developing AI/ML systems, building full-stack applications, or integrating AI into software productsWhat Sets You Apart- Master&#39;s Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Data Processing/Analytics/Science, Software Engineering preferred- Experience with LLMs, prompt engineering, and orchestration tools- Experience with multi-agent frameworks and agentic AI patterns- Proficiency with Docker, Kubernetes, and cloud-native architectures- Experience with CI/CD for ML systems and model monitoring- Experience with vector databases and embedding models- Track record of fine-tuning models on domain-specific data- Experience processing and managing data pipelines- Contributions to open-source AI/ML projects or hackathonsTravel RequirementsUp to 60%Job Posting End DateThe salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Oracle AI Data & Analytics - Senior Associate

3+ years in AI/ML, data analytics, full-stack or AI-enabled software; Bachelor's in a quantitative field; strong data/AI tooling knowledge.

Quantitative Analytics Jobs in Lowell, AR, US

Quantitative Analytics Jobs market signals in Lowell, AR, US

Companies appearing in this market

Work location mix in visible results

Related browse hubs