data engineer (associate) Jobs in Chicago

data engineer (associate)

data engineer (manager)

data engineering manager

data scientist (associate) Jobs in Chicago

data scientist (associate)

data strategist intern

data engineer associate

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineer to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll design, build, and optimize the data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery. You'll build pipelines that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer solutions, not just write SQL.<br>
<br>
The variety is real. In your first year, you might architect a lakehouse solution for a global manufacturer's IoT data, build a real-time streaming pipeline for a financial services firm's trading analytics, and design a data mesh implementation for a utility company's distribution systems. If you thrive on solving complex data challenges and shipping production systems that ML teams and analysts depend on, this role is for you<div></div><div>
What You'll Do</div><ul><li>
Design and build end-to-end data pipelines (batch and streaming)&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. You own the data infrastructure, not just a piece of it.</li><li>
Develop modern data transformation layers using dbt, implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability.</li><li>
Build and orchestrate workflows using Microsoft Fabric, Apache Airflow, Dagster, Databricks Workflows, or similar tools to automate complex data processing at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Ensure data quality and observability&mdash;implementing testing frameworks (dbt tests, Great Expectations), monitoring, alerting, and lineage tracking that maintain trust in data assets.</li><li>
Collaborate directly with clients to understand business requirements, translate data needs into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably and scale.</li><li>
Strong SQL and Python programming skills with experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, particularly dbt (data build tool). You understand modular SQL development, testing, and documentation practices.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Familiarity with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, and dependency management.</li><li>
Solid understanding of data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and knowing when different approaches are appropriate.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams including data scientists, analysts, and business users.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol) or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests.</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Familiarity with DataOps and CI/CD practices for data pipelines&mdash;version control, automated testing, and deployment automation.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership and shape our data engineering capabilities.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Associate)

QUAD

<div><p><b>General Purpose of Job:</b></p>
<p>
The Associate Director, Media Planning is responsible for developing an understanding of clients&rsquo; business model and pain points and translating them to custom media strategies. The ideal candidate will have a passion for digital marketing, have an in-depth understanding of all media channels, both online and offline, as well as the ability to think critically. The Associate Director, Media Planning will be responsible for working on both existing client strategy as well as collaborate on and in some cases, lead, new client strategy opportunities. The successful Associate Director, Media Planning strategically develops media plans that deliver against goals / KPIs and provides ongoing guidance for next-level strategies that lead to significant impact for the client&rsquo;s business. The Associate Director also leads a team of planners and managers to support the growth, development and changing needs of the client business in light of a continuously evolving media landscape. The Associate Director fosters a positive and productive team culture, and forms the strong collaborative relationships, internally and externally, that steadily elevate the quality of thinking and ideas applied to each client&rsquo;s business. The Associate Director creates an environment that promotes personal and professional growth for team members and encourages loyalty, openness of opinion and constant curiosity</p>
<p><b>
Location, NY, Chicago or Minneapolis offices, 4 days a week</b></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Work with Media Planning leadership to develop innovative and custom solutions in achieving client goals for prospective and</li>
<li>current clients</li>
<li><ul><li>Work in collaboration with strategy, comms planning and creative teams to define media strategies that are integrated across</li></ul></li>
<li>moments / tactics and align with client campaign objectives</li>
<li><ul><li>Oversee media strategy, campaign creation, budget, optimization, and testing strategy(ies), as applicable, for full-funnel, multi-</li></ul></li>
<li>platform campaigns across all paid channels including television, radio, print, out-of-home, digital, social, and mobile media</li>
<li><ul><li>Leverage insights, learnings, and modeling to help determine the right channel mix and further bolster the data-informed</li></ul></li>
<li>portions of media plans</li>
<li><ul><li>Stay current with new advances in media, the competitive landscape, and vendor capabilities; leverage that knowledge to</li></ul></li>
<li>influence current and future business plans and strategies</li>
<li><ul><li>Drive media innovation, thought leadership, and best practice sharing throughout the department</li></ul></li>
<li><ul><li>Participate in developing / nurturing relationships with media partners and technology companies to enable first-mover access,</li></ul></li>
<li>most competitive rates, and development of innovative programs</li>
<li><ul><li>Identify and lead prioritization of media projects to effectively manage workflow across assigned client portfolio</li></ul></li>
<li><ul><li>Establish and share media best practices and benchmarks across teams; highlight opportunities to test, learn and</li></ul></li>
<li>optimize/evolve based on knowledge of customer insights, competitive media initiatives, new channels, and/or offerings by</li>
<li>channel</li>
<li><ul><li>Assist or lead in the preparation and presentation of new business pitches as requested by supervisor</li></ul></li>
<li><ul><li>Represent the agency&rsquo;s mission, capabilities and goals accurately to assigned clients, business development prospects and other</li></ul></li>
<li>potential industry allies (i.e. vendors, peers, etc.)</li>
<li><ul><li>Review all marketing strategies/research for assigned clients as a &ldquo;quality control&rdquo; function</li></ul></li>
<li><ul><li>Understand each client&rsquo;s market, their challenges / opportunities and their competition</li></ul></li>
<li>Think strategically and tactically to meet client needs, to improve current services or to deliver new services</li>
<li><ul><li>Maintain contact with key industry associations and organizations</li></ul></li>
<li><ul><li>Perform other responsibilities, as they are developed/defined</li></ul></li>
</ul>
<p><b>Job Requirements:</b></p>
<p><b>
Education: </b>Bachelor&rsquo;s degree required</p>
<p><b>
Experience:</b></p>
<ul>
<li><ul><li>7+ years of media experience at both a tactical level (implementing) and strategic level (guiding and training); agency</li></ul></li>
<li>experience is a plus</li>
<li><ul><li>3+ years in a management or supervisory role</li></ul></li>
<li><ul><li>Exceptionally strong verbal and written communication skills to effectively interact with clients, vendors and all levels of the</li></ul></li>
<li>internal organization</li>
<li><ul><li>Ability to identify / recruit / retain top talent; experience positively managing personnel issues</li></ul></li>
<li><ul><li>Proven quantitative and analytic capabilities; expertise in translating data into insights</li></ul></li>
<li><ul><li>Proven ability to manage multiple, simultaneous short- and long-term projects</li></ul></li>
<li><ul><li>Track record of demonstrating strong judgment and prioritization capabilities</li></ul></li>
<li><ul><li>Ability to implement change quickly to support evolving / changing client initiatives or marketplace occurrences</li></ul></li>
<li>Working knowledge of third-party media research, including but not limited to: Nielsen, MRI, Scarborough, Media Radar,</li>
<li>DoubleClick, YouGov</li></ul><br>
<p><br>
<b>Knowledge, Skills &amp; Abilities:</b></p>
<ul>
<li><ul><li>Experience building client decks and pitching current as well as potential up-sell opportunities</li></ul></li>
<li><ul><li>Expert understanding of media planning, distribution, and syndication of content</li></ul></li>
<li><ul><li>Collaborative approach and all-in attitude</li></ul></li>
<li><ul><li>Client facing track record</li></ul></li>
<li><ul><li>Skilled at and enjoys manipulating and understanding data, as well as drawing actionable data-driven decisions to drive sales</li></ul></li>
<li>and marketing efforts</li>
<li><ul><li>Strong interpersonal, partnership and influencing management skills</li></ul></li>
<li><ul><li>Self-motivated and creative strategic thinker who thrives in fast-paced environment</li></ul></li>
<li><ul><li>Extensive knowledge of the media industry, demonstrating depth in media strategy and performance-based marketing</li></ul></li>
<li>across all channels, media analytics / ROI, and planning and buying local and national media (digital and traditional)</li>
<li><ul><li>Proven ability to develop and manage paid media plans that meet / exceed business objectives</li></ul></li>
<li><ul><li>Influential and persuasive communicator with strong interpersonal skills; exceptional ability to grow and foster internal /</li></ul></li>
<li>external relationships</li>
<li><ul><li>Strong presentation / story-telling and impeccable written and verbal communication skills</li></ul></li>
<li><ul><li>Demonstrated ability to learn and understand each client&rsquo;s business; act as an extension of the client with working</li></ul></li>
<li>knowledge of issues that could influence media decisions</li>
<li><ul><li>Display a natural curiosity as a &ldquo;student of the industry&rdquo; with a desire to both learn and teach, while applying knowledge for</li></ul></li>
<li>the ongoing betterment of client media plans</li>
<li><ul><li>Ability to lead and develop a high-performing team, with track record of employee growth and development</li></ul></li>
<li><ul><li>Passion for a purpose-driven, team oriented, client-first, cross-functional culture</li></ul></li>
<li><ul><li>Demonstrated problem-solver with the ability to provide creative solutions that result in positive outcomes</li></ul></li>
<li><ul><li>Ability to articulate a clear and compelling vision to direct and maximize the team where all roles and responsibilities are well defined, understood and managed</li></ul></li>
<li><ul><li>Expert synthesizer of detail and information for client, peer and management consumption</li></ul></li>
<li><ul><li>Exhibits sound business judgment to navigate through everyday client and team challenges, commanding both authority and respect</li></ul>
<p><b>Employees can be expected to be paid an annualized salary range of $97,000-$125,000, based on variations in knowledge, skills, experience and market</b><br>
<b>conditions.</b></p>
<p><i>#LI-DP1</i></p></li></ul></div>

Associate Director, Media Planning

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
<br>
The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Scientist to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll conduct advanced analytics and build predictive models that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery. You'll work on problems that matter: experimental designs that validate business strategies, predictive models that surface hidden patterns in complex data, and analytical workflows that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might conduct customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an anomaly detection model for a utility company's operational data. If you thrive on rigorous analysis, clear communication of complex findings, and rapid iteration, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Develop both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Rapidly build interactive data stories and applications&mdash;deliver insights through compelling visualizations and user-friendly interfaces that stakeholders can explore.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop presentation-ready deliverables, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Collaborate directly with clients and senior team members&mdash;understand business problems, formulate the right analytical questions, and contribute to insights that create measurable value.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
2+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing clean, reproducible code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can write efficient queries.</li><li>
Strong visualization and rapid data application development skills&mdash;proficiency with programmatic visualization libraries (Plotly, Altair) and AI-assisted rapid application development using Cursor, Lovable, v0, or similar tools. You can quickly build interactive data interfaces that bring analyses to life.</li><li>
Ability to communicate technical concepts to non-technical stakeholders and work effectively with cross-functional teams. Strong data storytelling skills are essential.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro), or uncertainty quantification in business contexts.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior roles.</div><div></div><div>
Position Level</div>
Associate<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Associate)

Wilbert Plastic Services

<div>Western Builders Supply
<p></p><p>As a part of the global industrial organization Marmon Holdings&mdash;which is backed by Berkshire Hathaway&mdash; you&rsquo;ll be doing things that matter, leading at every level, and winning a better way. We&rsquo;re committed to making a positive impact on the world, providing you with diverse learning and working opportunities, and fostering a culture where everyone&rsquo;s empowered to be their best.
</p><p></p><p><b>Job Title: </b>Associate Brand Manager
</p><p></p><p><b>Company: </b>Marmon Fastener Company
<br>
<b>Location: </b>Chicago, IL (Hybrid)
<br>
<b>Reports To: </b>Director of Marketing and Product Development
</p><p></p><p><b>About Us:
</b><br>
Marmon Fastener Company is a leader in the construction fastener industry, supporting multiple brands within our portfolio. We are a part of Marmon Holdings, a Berkshire Hathaway company, bringing the strength and resources of a global enterprise to our innovative and quality-focused products. We strive to deliver top-quality products that meet the diverse needs of our customers. As a part of our team, you&rsquo;ll play a critical role in shaping the success of our products through strategic marketing efforts and hands-on involvement in product development.
</p><p></p><p><b>Job Overview:
</b><br>
Are you a searching for a dynamic role that blends product marketing with innovation? We are seeking a passionate and creative individual to join our team as an <b>Associate Brand Manager </b>. This position offers an exciting opportunity to work with multiple brands, guiding products from concept to launch while crafting innovative marketing strategies to position our products in the marketplace. You&rsquo;ll conduct market research, lead projects, and create compelling content&mdash;all within a collaborative, hybrid work environment.
</p><p></p><p><b>Key Responsibilities:
</b></p><ul><li><b>Market Research: </b>Conduct market research to identify customer needs, market trends, and new product opportunities. This includes involvement in voice of customer interviews, focus groups, and surveys to gather actionable insights that inform product development and improvement.
</li><li><b>Project Management: </b>Manage the product development process using Stage Gate methodology, collaborating with cross-functional teams to ensure successful product launches and continuous improvement of existing products.
</li><li><b>Product Launch Strategy: </b>Develop and implement go-to-market strategies, including crafting messaging, positioning, and promotional campaigns to ensure successful product introductions in the market.
</li><li><b>Marketing Material Development: </b>Create compelling marketing materials and content that enhance product shopability, guiding customers through their buying journey and helping them understand our product offerings.
</li><li><b>Campaign Development: </b>Develop and execute promotional campaigns for strategic product lines within our portfolio, utilizing market insights to create targeted messaging that resonates with our audience.
</li><li><b>Analytics: </b>Analyze market data, customer feedback, and product performance to guide product marketing strategies and adjust campaigns as needed.
</li><li><b>Cross-Functional Collaboration: </b>Work closely with sales, engineering, and customer service teams to ensure cohesive product messaging and successful launch execution.
</li></ul><p></p><p><b>Qualifications:
</b></p><ul><li>Bachelor&rsquo;s degree in Marketing, Business, or a related field.
</li><li>Strong project management skills; familiarity with the Stage Gate process is a plus.
</li><li>Excellent written and verbal communication skills, with a knack for crafting compelling product messaging.
</li><li>Analytical mindset with the ability to interpret market data, customer insights, and product performance.
</li><li>Understanding of marketing fundamentals, including product positioning, branding, and campaign execution.
</li><li>Ability to work effectively in a collaborative team environment and manage multiple projects simultaneously.
</li><li>Self-starter with strong organizational skills and a passion for product marketing and innovation.
</li></ul><p></p><p><b>Benefits:
</b></p><ul><li>Competitive salary and benefits package.
</li><li>Hybrid work environment &ndash; a mix of in-office and remote work.
</li><li>Opportunity for training and career growth within Marmon Holdings, Inc.
</li></ul><p></p><p>Following receipt of a conditional offer of employment, candidates will be required to complete additional job-related screening processes as permitted or required by applicable law .
</p><p></p><p>We are an equal opportunity employer, and all applicants will be considered for employment without attention to their membership in any protected class. If you require any reasonable accommodation to complete your application or any part of the recruiting process, please email your request to careers@marmon.com, and please be sure to include the title and the location of the position for which you are applying.</p></div>

Associate Brand Manager

Latham & Watkins LLP

<div><h2 class="jobSectionHeader"><b>About Latham &amp; Watkins
</b></h2><div><div><div>Latham &amp; Watkins is one of the world&rsquo;s leading global law firms advising the businesses and institutions that drive the global economy. We are the market leaders in major financial and business centers globally and offer unmatched expertise and resources to help you grow from an intellectually curious self-starter into an exceptional lawyer. If you aspire to be the best, this is where you belong.
</div></div></div><h2 class="jobSectionHeader"><b>About the Practice Group
</b></h2><div><div><div>We represent companies, financial institutions, private equity firms, and individuals in their most significant and high-stakes disputes. We tailor our litigation teams to the specific characteristics of each matter, drawing on a global team of seasoned litigators and trial lawyers to match the industry, claims, subject matter, client goals, and venue at play. Regardless of the nature of the dispute, we adopt a trial-ready strategy from the outset to achieve the best result for the client, in whatever form success takes.<br>
<br>
Our deep bench of experienced trial lawyers, including dozens of former US federal prosecutors, have successfully tried or arbitrated hundreds of cases to verdict in the last decade. Opposing counsel know our track record of taking the toughest cases to trial and winning &mdash; a reputation that often influences settlement considerations when our name appears on the docket.<br>
<br>
We pair our experience with a fluency in the market dynamics that are influencing industries &mdash; from financial services to technology and energy to life sciences &mdash; across the world. We routinely litigate business torts, contract and joint venture disputes, fraud and unfair competition as well as consumer protection claims, insolvency and restructuring matters, insurance coverage, and trade secrets cases across a wide range of industries and venues. This diverse practice gives us insight into the litigation strategies that help our clients prevail.<br>
<br>
Our clients&rsquo; business objectives guide our litigation planning. We take into account the size of the matter, the client&rsquo;s exposure or up side, and the significance of the case to the client. Recognizing that litigation is just one part of a larger business strategy, we evaluate early exit options to minimize costs, including dispositive motions, alternative dispute resolution, and settlement, as well as third-party indemnification and insurance coverage.
</div></div></div><h2 class="jobSectionHeader"><b>About the Role
</b></h2><div><div><div>The Litigation Department is seeking an associate with a minimum of three years of complex commercial litigation experience to join our 4th to 6th year associate class.
</div></div></div><h2 class="jobSectionHeader"><b>Main Contact Details
</b></h2><div><div><div>LateralRecruiting.Litigation&amp;Tax@lw.com
</div></div></div><h2 class="jobSectionHeader"><b>Additional Information
</b></h2><div><div><div>Investing in the well-being of our lawyers and staff is among the firm&rsquo;s highest priorities. Through our &ldquo;LiveWell Latham&rdquo; program, we offer best-in-class benefits and comprehensive resources designed to support you and your loved ones through all life&rsquo;s moments &mdash; from building a family and taking care of loved ones, to managing your health and saving for the future.<br>
<br>
Latham &amp; Watkins is an equal opportunity employer. The Firm prohibits discrimination against any employee or applicant for employment on the basis of race (including, but not limited to, hair texture and protective hairstyles), color, religion, sex, age, national origin, sexual orientation, gender identity, veteran status (including veterans of the Vietnam era), gender expression, marital status, or any other characteristic or condition protected by applicable statute.<br>
<br>
We periodically provide demographic data to legal publications, bar associations, civic and community organizations, and in some instances, to local, state, and federal government agencies as required by law or contract. So that the firm can provide this information accurately, we request that you consider self-identifying.<br>
<br>
 review your rights under U.S. employment laws. In accordance with Latham &amp; Watkins policies, associates in this role must protect and maintain any highly sensitive, confidential, privileged, financial and/or proprietary information that Latham &amp; Watkins retains either as part of the legal services the Firm provides to clients or for internal purposes.<br>
<br>
Los Angeles: Latham &amp; Watkins LLP will consider qualified applicants with criminal histories in a manner consistent with the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO).<br>
<br>
San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Massachusetts: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. An employer that violates this law may be subject to fines and/or a private right of action for $500 in statutory damages &ldquo;for each such violation,&rdquo; among other things.
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div><div><b>Associate Base Salary</b></div><div>
Discretionary bonuses may be available depending on application circumstances and position.</div><div></div><div><div><div><b><br>
Year</b></div><div><b> US Payroll</b></div></div><br>
<div><div><b>
1st Year</b></div><div> $225,000</div></div><br>
<div><div><b>
2nd Year</b></div><div> $235,000</div></div><br>
<div><div><b>
3rd Year</b></div><div> $260,000</div></div><br>
<div><div><b>
4th Year</b></div><div> $310,000</div></div><br>
<div><div><b>
5th Year</b></div><div> $365,000</div></div><br>
<div><div><b>
6th Year</b></div><div> $390,000</div></div><br>
<div><div><b>
7th Year</b></div><div> $420,000</div></div><br>
<div><div><b>
8th Year</b></div><div> $435,000</div></div></div></div></div></div></div>

Associate - Litigation & Trial - Complex Commercial Litigation

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>12/12/2025</p>
</div><div><p>Description</p>
<div>Senior Lead Software Engineer, Back End<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p>
What You&rsquo;ll Do:</p><ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p>
Basic Qualifications:</p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of professional software engineering experience (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p>
Preferred Qualifications:</p><ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer<br>
<p></p>
Richmond, VA: $204,900 - $233,800 for Sr. Lead Software Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Senior Lead Software Engineer, Back End<p>
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Back End Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you&rsquo;ll have the opportunity to be on the forefront of driving a major transformation within Capital One.</p><p>
What You&rsquo;ll Do:</p><ul><li>
Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company</li><li>
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal &amp; external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code</li><li>
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment</li><li>
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services</li></ul><p>
Basic Qualifications:</p><ul><li>
Bachelor&rsquo;s Degree</li><li>
At least 6 years of professional software engineering experience (Internship experience does not apply)</li><li>
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)</li></ul><p>
Preferred Qualifications:</p><ul><li>
Master&rsquo;s Degree</li><li>
9+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
4+ years of experience in open source frameworks</li><li>
1+ years of people management experience</li><li>
2+ years of experience in Agile practices</li></ul><p><i>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</i></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $204,900 - $233,800 for Sr. Lead Software Engineer<br>
<p></p>
McLean, VA: $225,400 - $257,200 for Sr. Lead Software Engineer<br>
<p></p>
Richmond, VA: $204,900 - $233,800 for Sr. Lead Software Engineer<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
204,900.00 - 233,800.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Senior Lead Software Engineer, Back End

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