Data Scientist 2 - Virtual - Freewheel

Keystone AI Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division FreeWheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels. Job Summary The Data Scientist 2 is an independent contributor who develops and applies statistical, machine learning, and optimization techniques to solve well-defined business problems. This role partners with cross-functional teams to deliver data-driven insights and scalable analytical solutions while continuing to build technical expertise. Job Description Buildandvalidatemachine learning, statistical, and optimization models for business use cases. Analyze large and complex datasets toidentifyactionable insights and recommend solutions. Develop automated analytical workflows, reports, dashboards, and reusable data pipelines. Assist Senior Data Scientists to evaluate model performanceanddocument methodologies. Present technical findings and business impact to technical and non-technical stakeholders. Collaborate with Product, Engineering, and Analytics teams to translate business requirements into data science solutions. Contribute to code reviewsandknowledge sharing. Qualifications Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field. 1–3 years of relevant experience. Strong programming skills in Python and SQL; Spark/PySparkexperience preferred. Working knowledge of machine learning techniques (regression, classification, clustering, forecasting, tree-based models, deep learning) and statistical analysis. Exposure to cloud platforms,MLOps, or Generative AI concepts is a plus. Strong analytical, problem-solving, and communication skills. Responsibilities: Collaborating with cross-functional teams to define data analysis problems and design experiments Engineering software solutions and algorithms for data cleansing, integration, and analysis Utilizing advanced statistical methods and machine learning to derive actionable insights from big data Implementing statistical and mathematical models to address complex business challenges Constructing data mining frameworks and conducting trend analysis for strategic decision-making Analyzing complex datasets to identify historical patterns in customer and product behaviors Building predictive models to forecast customer actions and guide business planning Synthesizing findings from data science research to inform and optimize business processes Presenting data-driven insights and recommendations through clear, comprehensive deliverables Consistent exercise of independent judgment and discretion in matters of significance. Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary. Other duties and responsibilities as assigned. Employees at all levels are expected to: Understand our Operating Principles; make them the guidelines for how you do your job. Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services. Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences. Win as a team make big things happen by working together and being open to new ideas. Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers. Drive results and growth. Support a culture of inclusion in how you work and lead. Do what's right for each other, our customers, investors and our communities. Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications. Skills Actionable Insights, Collaboration, Data Science, Machine Learning (ML) Compensation National Pay Range: $66,836.39 USD-$156,647.79 USD Illinois Pay Range: $71,013.67 USD - $137,850.06 USD Colorado Pay Range: $75,190.94 USD - $144,115.97 USD Hawaii Pay Range: $87,722.76 USD - $131,584.14 USD Washington DC Pay Range: $96,077.31 USD - $144,115.97 USD Maryland Pay Range: $79,368.21 USD - $144,115.97 USD Minnesota Pay Range: $75,190.94 USD - $131,584.14 USD New York Pay Range: $79,368.21 USD - $156,647.79 USD Washington P