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About the RoleWere looking for a seasoned Machine Learning Engineer to lead the Machine Learning function within the Marketing Intelligence Team at Morningstar. This role will play a critical role by setting the requirements for the ML models,building the data pipelines and flows to power the model, as well as output model data that can be visualized and shared to business leaders. You will have deep technical data engineering skills and vision to build the machine learning road map. You will ensure models align to business goals, and are responsible forrefining methodologies, iterating on models, and fine-tuning the model output. You will share out model findings to business stakeholders and tune and monitor models.You will evangelize model findings and feature engineering insights to marketing stakeholders and facilitate opportunities for stakeholders to use model output to deliver stronger business outcomes.To foster continuous collaboration, we follow a hybrid policy of a minimum of 3 days onsite in our Chicago office.ResponsibilitiesBuild, fine-tune, and implement machine learning models to answer challenging business questionsEnsure machine learning production pipelines are scalable, repeatable, and cloud agnosticApply current and emerging techniques in deep learning, AI, and other machine learning areasCollect, clean, manage, analyze, and visualize large sets of data using multiple data platforms, tools, and techniquesOptimize and fine-tune ML models for performance and scalability. Analyze and interpret data to extract meaningful insights and improve ML modelsMaintain a database of model outputs, which will be used by the rest of theMarketing Intelligence teamIntegrate ML solutions into Marketing Intelligence workstreamsDocument and present findings and solutions to leaders and stakeholdersRequirementsMasters degree preferred, ideally in statistics, finance, mathematics, engineering, analytics, or in a quantitative discipline7+ years proven experience building data science models and executing data engineering workExtensive experience in machine learning and statistical techniques, including regression, classification, clustering, time series forecasting, text analytics, and causal inference, and scaling end to end solutionsExpertise in marketing analytics & experimentation, such as Marketing Mix Modeling (MMM), Attribution Modeling, Lead Score Propensity ModelingProficiency in Python, R, and SQL, with strong scripting capabilities to process and transform data for modelingStrong background in big data processing and engineering using Apache Spark, PySpark, and Airflow, with experience in data lakes and warehousing solutions (Snowflake, Databricks, Redshift, BigQuery)Experience with MLOps and cloud platforms (AWS SageMaker, Bedrock, Google Vertex AI, Azure ML), with a track record of automating machine learning pipelines and building end-to-end ML productsHands-on experience with machine learning libraries, including Scikit-learn, Pandas, NumPy, Matplotlib, SciPy, Seaborn, XGBoostHands-on experience with deep learning frameworks (TensorFlow, PyTorch)Outstanding analytical and problem-solving skills with technical knowledge of setting requirements, working with complex data, and leveragingdata stored across multiple data environmentsThe ability to solution alongside team members andthrive in a collaborative environment, and convey complex concepts in a clear and concise mannerCompensation and BenefitsAt Morningstar we believe people are at their best when they are at their healthiest. Thats why we champion your wellness through a wide-range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide:Financial Health75% 401k match up to 7%Stock Ownership PotentialCompany provided life insurance - 1x salary + commissionPhysical HealthComprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plansand coveragesAdditional medical Wellness Incentives - up to $300-$600 annualCompany-provided long- and short-term disabilityinsuranceEmotional HealthTrust-Based Time Off6-week Paid Sabbatical Program6-Week Paid Family Caregiving LeaveCompetitive 8-24 Week Paid Parental Bonding LeaveAdoption AssistanceLeadership Coaching & Formal MentorshipOpportunitiesAnnual Education StipendTuition ReimbursementSocial HealthCharitable Matching Gifts programDollars for Doers volunteer programPaid volunteering days15+ Employee Resource & Affinity GroupsBase Salary Compensation Range$96,326.00 - 163,761.00 USD AnnualTotal Cash Compensation Range$110,775.00 - 188,325.00 USD AnnualMorningstars hybrid work environment gives you the opportunity to work remotely and collaborate in-person each week. While some positions are available as fully remote, weve found that were at our best when were purposely together on a regular basis, typically three days each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, youll have tools and resources to engage meaningfully with your global colleagues.001_MstarInc Morningstar Inc. Legal Entity #J-18808-Ljbffr