• Design, test, and iterate on machine learning models that power recommendation, ranking, routing, and monetization • Own A/B testing strategy and causal measurement for product features and partner performance • Partner with engineers to productionize models and integrate them into live systems • Build analyses, dashboards, and tools that inform product strategy and customer outcomes • Define metrics and success criteria for new initiatives • Deep dive into product and user data to derive actionable insights and size opportunities to improve products, strategy and operations, influencing roadmaps through insights and recommendations • Help establish foundational data practices and help scale our analytics infrastructure to support rapid iteration and decision-making as our products grow leveraging our existing technical stack • Raise the bar for statistical rigor and experimentation across the company

• Oversee the integrity and accessibility of Generation Citizen's data • Support upgrades to current data tools including building dashboards and improving reports • Manage data visualization software and refine existing dashboards • Act as the primary point of contact for technical issues and internal data requests • Assist staff with the implementation of new systems and processes for data integrity • Produce data visualizations for key events, trainings, and reports • Ensure data systems promote equity-centered insights • Support strategic planning by identifying trends and opportunities revealed through data

Through passion and deep industry expertise, MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Our strategic solutions, innovation, and industry intelligence help manufacturers gain visibility, improve profitability, and achieve a competitive edge. Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation. Our Microsoft Specialties include Finance and Supply Chain, Analytics on Azure, Data Warehouse Migration, and Power Platform. We’re also a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner. Title Senior Data Scientist Location Fully Remote with travel up to 10% Description The Senior Data Scientist is responsible for being a partner to team members, a mentor, and directly enabling growth of the Data & AI Services team at MCA. The Senior Data Scientist is expected to lead Data Science implementations, drive innovation, upskill and mentor junior teammates, and partner with leadership to drive continuous improvement Within a project framework, the Senior Data Scientist is responsible for building client relationships, effectively utilizing Agile project delivery methodologies, implementing scalable and efficient technical architectures to satisfy client requirements, and performing hands on implementations of Microsoft data solutions for MCA Connect’s current and future customers/projects Responsibilities Lead end-to-end data science and ML engagements on Microsoft Azure, Microsoft Fabric, and Databricks to solve manufacturing, supply chain, and operations use cases for MCA clients. Design and implement advanced analytics solutions using Azure Machine Learning, Azure OpenAI, Databricks (PySpark/MLflow), and Power BI, ensuring they are secure, scalable, and aligned to MCA delivery standards. Build modern retrieval and RAG patterns on Azure (vectorization, similarity search) to expose knowledge from SOPs, service histories, maintenance logs, and data sources commonly associated with manufacturing, supply chain, and logistics. Develop, fine-tune, and deploy models across the spectrum—from classical and statistical approaches (forecasting, optimization, anomaly detection) to deep learning and Generative AI—selecting the simplest viable approach for the business problem. Perform hands-on LLM adaptation (such as LoRA/QLoRA) and package or customize models for production hosting in Azure and Databricks. Translate client business requirements into technical architectures, feature roadmaps, and implementation plans, and advise when a regression or optimization solution is more appropriate than a complex GenAI approach. Analyze large, complex, and mixed (structured and unstructured) datasets to generate actionable insights for plant, quality, and supply chain stakeholders. Present model results, data stories, and recommended actions in a way that non-technical leaders can understand and operationalize. Partner with data engineering and architecture teams to improve data capture, data quality, and automation across Azure data lakes, warehouses, and ERP/MES sources. Create reusable notebooks, components, and delivery patterns to raise the maturity of the Manufacturing Intelligence team and accelerate future projects. Ensure MLOps best practices for the full model lifecycle, including tracking, registry, CI/CD, monitoring, and governance using Azure ML and Databricks. Manage and prioritize multiple client projects simultaneously, including requirements gathering, scope definition, timeline coordination, and status reporting. Contribute to Statements of Work and proposals that clearly define services, effort, and the Azure/Databricks solution approach. Stay current on Microsoft and Databricks product roadmaps and industry changes and recommend adoption where it improves client outcomes. Meet with clients to understand problems, validate assumptions, and shape analytics and AI solutions. Be available for approximately 10 percent travel on an as-needed basis. Qualifications 9+ years of hands-on experience delivering data science and ML/AI solutions on cloud platforms, preferably Microsoft Azure and Databricks; experience with data engineering patterns is a plus. BS/MS in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, AI, or Analytics PhD strongly preferred Proven ownership of the full MLOps lifecycle—experiment tracking, model registration, deployment, monitoring, and retraining—using Azure ML and Databricks/MLflow, ideally with CI/CD in Azure DevOps or GitHub. Ability to translate manufacturing, supply chain, or operations business problems into technical requirements by partnering with business stakeholders, data scientists, and data/solution architects. Strong consulting-grade communication skills, including storytelling with analytics and visualization, to explain model behavior and drive decisions with non-technical audiences. Expert-level proficiency in Python and SQL, with T-SQL preferred for Azure SQL/Synapse/Fabric environments. Deep, hands-on experience with core data science libraries, including scikit-learn for classical and statistical ML and PyTorch for deep learning. Proven experience working in Databricks with PySpark, plus hands-on use of optimization approaches commonly applied in supply chain and manufacturing—such as mixed-integer/linear programming for planning and scheduling, network/routing optimization, and constraint-based solvers—using libraries like OR-Tools or SciPy optimize. Practical knowledge of Generative AI on Azure, including prompt engineering, retrieval-augmented generation (RAG), and the ability to identify and prioritize high-value LLM use cases in a business context. Hands-on experience implementing RAG and vectorization on Microsoft-first tooling (for example Azure AI Search/Vector Search, Azure OpenAI, Databricks vector stores or Lakehouse-based retrieval pipelines), including document ingestion, chunking, and securing access to manufacturing and supply chain content. Hands-on experience building and orchestrating AI agents in the Microsoft ecosystem (Azure AI Studio/Agents, Azure OpenAI with tool/function calling, and integrations to Databricks/Fabric or REST backends), including securing those agents against tenant data and conditioning them for manufacturing and supply chain workflows. Extensive experience integrating with Azure-centric data platforms, including data lakes, data warehouses, Delta/Parquet, NoSQL stores, and APIs. Ability to stand up and manage data and experimentation environments to support rapid model development and evaluation. Strong critical thinking, active listening, and situational awareness to infer business needs, understand context, and turn loose direction into concrete analytical solutions. Attention to detail and a bias for end-to-end ownership of deliverables in a consulting/project setting. Experience delivering projects on large, complex datasets, preferably in manufacturing, supply chain, or logistics industries. Demonstrated ability to communicate effectively with technical teams, business stakeholders, and client leadership. Why work for MCA Connect? Our compensation plan offers one of the best bonus structures in the industry.  Along with this we also offer a generous benefit package: · Work/Life Balance with Unlimited Paid Time Off (UPTO) · 401k Plan with Company Matching Contribution · Monthly Stipend for Home Office Expenses · Subsidized Medical, Dental and Vision Coverage · Health Savings and Flexible Spending Accounts · Company Paid Life and Disability Insurance · Training, Certification and Continuing Education Support MCA Connect offers limitless opportunities for personal and professional growth in a stimulating, challenging, and performance-oriented work culture where you can share your ideas and make impactful daily contributions. Our employees are highly motivated and talented individuals dedicated to developing, marketing, and selling products designed to deliver value for mid-market and enterprise-size manufacturing, distribution, and energy companies. We take the time to train our consultants so that they understand the industries we serve and can deliver best practices, proven methodologies, and ongoing industry expertise to our clients. MCA Connect is an Equal Opportunity Employer. MCA Connect promotes equal employment opportunity to all employees and applicants and does not discriminate on the basis of race, religion, color, creed, national origin, sex, age, sexual/gender orientation, status as a protected disabled or Vietnam Era Veteran, disability, or any other legally protected status. We firmly believe our differences make us stronger!

About Gusto At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy . About the Role: Gusto is looking for highly skilled and motivated Data Scientists with extensive experience (10+ years) applying their expertise in a business environment. As a Principal Data Scientist, you will play a crucial role in leveraging experimentation, statistical inference, and causal analysis to drive strategic decision making that contributes to the overall success of our organization. The ideal candidate is a trusted data storyteller with strong statistical and coding skills, and a passion for applying these skills to help small businesses thrive. In this role you will work closely with our Product, Engineering, Design, Finance, and other Data teams to become an expert in the data for your domain, define and track metrics that help us understand our business performance, and dive deep into our Payroll, Benefits, and HR data to deliver insights and answer questions. You’ll also integrate AI-assisted practices to accelerate analysis, enhance rigor, and expand the reach of insights across Gusto. We have multiple senior roles open, each focused on a different area of our business Here’s what you’ll do day-to-day: Strategic Leadership: Shape the analytical strategy for a major product or business area. Identify high-leverage opportunities, set long-term measurement and experimentation direction, and align executive stakeholders around data-driven priorities. Execution Excellence: Drive and execute on org-level analytical roadmaps that shape company strategy. Achieve alignment and ensure consistent analytical rigor and metric integrity across product domains. Scaled Impact: In addition to being an expert in statistical methods and driving impact through execution, you will drive frameworks for experimentation, causal analysis, and metric design that scale across multiple teams and influence org-wide decision quality. Thought Partnership: Serve as a trusted advisor to senior product, engineering, and business leaders. Anticipate emerging questions, proactively define success measures, and advocate for data-informed strategy across the org. Analytical Innovation: Push the boundaries of statistical modeling, experimentation, and AI-assisted analytics. Design methods and tools that expand how Gusto leverages data to drive customer and business impact. Mentorship: Mentor and coach more junior data scientists, raising the bar for analytical thinking and storytelling. Here’s what we're looking for: 10+ years of experience in Data Science at a product-focused software company. Strong SQL and Python skills. Proven ability to apply statistical methods, causal inference, and experimental design to real business problems. Experience developing Machine Learning models is a plus. Excellent communication skills, with a track record of influencing cross-functional stakeholders and leadership. Demonstrated experience leading large, technically complex projects with clear business impact. A proactive, resilient problem-solver who independently structures ambiguous problems into actionable insights. Passion for mentoring others and raising the bar for data science craft across the team. BS/MS/PhD in a quantitative field (Statistics, Economics, Computer Science, Applied Math, etc.) or equivalent industry experience. Our cash compensation amount for this role is targeted at $170,000/yr - $210,000/yr in Denver, $185,000/yr - $225,000/yr in Los Angeles, $200,000/yr - $240,000 for San Francisco, Seattle and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees. Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto. Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you. Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer. Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.