Data Scientist

We are looking for a business-minded, full-stack Forecasting Data Scientist who cares about impact, ownership, and cross-functional collaboration. In this role, you will work closely with Lyra’s Finance, Operations, Sales & Marketing, and Customer Success teams to build forecasting models that optimize provider network capacity, anticipate care utilization, and inform strategic decisions across our business lines.

Core Responsibilities:

• Design, build, and maintain predictive models to forecast member demand, care utilization, and provider network capacity.
• Develop comprehensive analytical frameworks and translate data insights into actionable business recommendations.
• Collaborate with teammates to improve and scale forecasting processes alongside company growth.
• Develop expertise in the data we collect and partner with data engineers to construct robust data pipelines and ingest relevant data sources.
• Complete time-sensitive ad-hoc data requests for internal leadership and external stakeholders., By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact [email protected]. For more information about how we use and retain your information, please see our Workforce Privacy Notice.”, Design, develop, and deploy time-series and machine-learning forecasting models (ARIMA, SARIMA, ETS, XGBoost, LightGBM) for demand planning, inventory, and sales forecasting. Perform large-scale SQL data processing, operationalize models in cloud environments (Azure preferred), present insights, and lead client workshops., The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries. Top Skills: AIArimaAzureData ScienceDemand ForecastingEtsGbmLightgbmMachine LearningPythonRandom ForestSarimaSQLTime-Series ModelingXgboost

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 5+ years of data analysis in an industry setting with a preference for individuals who have experience in business forecasting, time series data, and have partnered with business / operations teams in prior roles.
• Demonstrated understanding of statistical applications and methods (experimentation, probabilities, regression). Experience applying hypothesis testing in an industry or research setting.
• Graduate-level Statistics coursework with MS in a quantitative field is preferred (statistics, econometrics, biostatistics, quantitative social sciences).
• Experience with Python, including cleaning and analyzing data as well as using Python to parse JSON structured data, call APIs, create user-defined functions, and automate.
• Experience translating stakeholder requests into data research questions and developing comprehensive analyses using irregular data from disparate sources.
• End-to-end ownership mentality: ability to competently execute all aspects of a data project, from data cleaning to analysis / modeling to dashboarding / reporting
• Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.
• Proficiency with Tableau or similar dashboarding tools.
• Excellent communication skills and experience collaborating across multiple functions
• Ability to thrive in a fast-moving environment and deliver time-sensitive ad-hoc analyses requested by leadership.
• Interest in public health a plus

Remote United States 213K-242K Annually Senior level 213K-242K Annually Senior level Retail Lead end-to-end supply chain planning and forecasting modeling: demand forecasting across geographies, forecasting tournaments, inventory placement optimization, vendor performance modeling, and raw-material signal generation. Collaborate with leadership and engineering to productionize models and apply AI-native techniques (LLM-aided EDA, agentic feature engineering, AI-augmented experimentation). Top Skills: Ai-Augmented ExperimentationForecastingInventory OptimizationLlmsOperations Research Tiger Analytics

Senior level Build and maintain forecasting models for member demand, utilization, and provider capacity; translate analyses into business recommendations; partner with data engineers to create pipelines; deliver time-sensitive ad-hoc analyses and dashboards for Finance, Operations, Sales, and Customer Success. The summary above was generated by AI About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.

Lyra is transforming mental health care by creating a frictionless experience for members, providers, and employers. We connect companies and their employees to mental health providers, therapy, and coaching programs that work.