Senior Data Scientist

Major League Soccer’s Strategy and Business Intelligence group is tasked with supporting strategic decision making and resource allocation across the League - with a focus on driving fan growth, revenue capture, and operating efficiencies - by providing impactful data driven insights, analysis, and recommendations. This individual contributor position requires a curious, analytical, and collaborative mindset — someone who brings structure to complexity and thrives at the intersection of data science and marketing impact. This role applies advanced analytics and modeling to fan and marketing data — including the League’s Fan Genome — to uncover engagement trends, build predictive attributes, and inform marketing strategy across League and Club initiatives. The ideal candidate is a hands-on data scientist with a strong understanding of marketing performance, audience segmentation, and personalization. They will translate complex data into actionable insights that enhance fan engagement, optimize marketing investments, and accelerate the League’s growth.
Apply advanced statistical and machine learning models to measure and predict marketing performance (e.g., media mix modeling, multi-touch attribution, churn and LTV forecasting, audience clustering).
Analyze fan and marketing data within the Fan Genome platform to identify trends in engagement, retention, and conversion.
Build and refine fan attributes, predictive scores, and segmentation models that inform targeting and personalization strategies at League and Clubs.
Develop machine learning solutions (forecasting, classification, recommendation, clustering) utilizing Python (scikit-learn, XGBoost, TensorFlow/PyTorch).
Design and analyze marketing experiments (A/B, multivariate, holdout tests) to determine causal impact of campaigns.
Translate data science model outputs into actionable insights and recommendations for the Marketing organization.
Build and maintain recurring dashboards and automated reports connecting campaign data, model results, and business KPIs.
Partner with Data Engineering to operationalize model outputs into CRM and marketing platforms (Salesforce, Braze, Marketo, etc.).
Ensure data quality and consistency across marketing data sources and analytical environments.
Present analytical findings in clear, concise, and visual formats for both technical and non-technical stakeholders. Education and Experience
Bachelor’s Degree required
8+ years of experience required Required Skills and Experience
Advanced expertise with Python, ML frameworks (scikit-learn/XGBoost/TensorFlow/PyTorch), & MLOps (feature stores, MLflow/model registry, CI/CD, online serving) required.
Strong experience with marketing analytics modeling techniques (MMM, MTA, regression, clustering, uplift, time-series forecasting, and Bayesian modeling).
Familiarity with lifecycle marketing analytics, marketing automation, and customer journey optimization using platforms such as Salesforce Marketing Cloud, Braze, Marketo, etc.
Experience operationalizing data science models into production systems or marketing workflows.
Understanding of causal inference and experimental design in marketing contexts.
Experience with data modeling and orchestration tools (DBT, Databricks, Airflow, Astronomer)
Experience building and automating training and inference ML pipelines at scale
Strong SQL skills (AWS, Snowflake or MySQL)
Experience with dashboarding software (Power BI, Looker or Tableau)
Ability to gather and clearly communicate technical requirements to Data Engineering and Martech teams
Demonstrated mastery of CRM and Paid Media Marketing tactics
High-level of commitment to a quality work product and organizational ethics, integrity and compliance
Ability to work effectively in a fast paced, team environment
Strong interpersonal skills and the ability to effectively communicate, both verbally and in writing
Demonstrated decision making and problem-solving skills
High attention to detail with the ability to multi-task and meet deadlines with minimal supervision
Proficiency in Word, Excel, PowerPoint and Outlook Total Rewards Major League Soccer offers a competitive starting base salary of $130,000 - $150,000, based on individual qualifications, market financials, and operational business needs. We are committed to providing a Total Rewards package that attracts, supports, engages, and retains talent. Our benefits package includes comprehensive medical, dental, and vision coverage, a $500 wellness reimbursement, and generous Holiday and PTO schedule to promote work-life balance. We also prioritize career and professional development, offering on-the-job training, feedback, and ongoing educational opportunities. We believe in the power of in-person collaboration to fuel creativity, strengthen connections, and cultivate a vibrant workplace. As a result, employees are required to work from an MLS office at least four days a week. We understand the value of balance, so employees also have the flexibility of working remotely on Fridays, along with the option to take up to two additional remote flex days each month. At Major League Soccer, we are proud to be an equal opportunity employer. We value diversity and inclusion and believe that a diverse workforce enhances our ability to compete in the marketplace. We are committed to providing equal employment opportunities to all individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. We are dedicated to ensuring that individuals with disabilities are provided reasonable accommodation throughout the job application or interview process, essential job functions, and other benefits and privileges of employment. If you require accommodation, please contact us to request it. Join our team and be part of the Major League Soccer family, where we elevate the game and inspire greatness!