Covetrus · 8 hours ago
Consumer Data Scientist
United States
Full-time
Remote
Mid Level
$79K/yr - $112K/yr
3+ years expCovetrus is looking for a Consumer Data Scientist to drive and support advanced analytics and applied data science that accelerates consumer-facing marketing and product experiences. The role involves designing and operationalizing models to improve consumer acquisition and retention, while collaborating with various teams to translate business questions into analytical solutions.
Health CareSoftwareSupply Chain ManagementVeterinary
Responsibilities
Drive and support the development, validation, and deployment of predictive and machine learning models (e.g., propensity, churn, LTV, recommendations, next best action, marketing response) that support data-driven marketing and business decisions for the Prescription Management and other consumer businesses
Design and analyze experiments (A/B and multivariate tests) and apply causal inference methods to measure the impact of marketing, pricing, and product changes on key consumer outcomes
Identify, scope, and prioritize high-impact data science opportunities that shape consumer experience, drive adoption, increase loyalty, influence brand preference, and deepen consumer engagement
Maintain a deep understanding of consumer behavior, competitive trends, and business drivers; proactively surface insights and hypotheses that inform strategy and roadmap decisions
Analyze key trends and build robust statistical and machine learning models to predict consumer behavior using strong statistical rigor and best practices
Establish scalable, efficient, and automated processes for large-scale data preparation, model training, scoring, and monitoring in partnership with Data Engineering and Analytics teams
Partner with teams across the prescription management and broader consumer business to design, develop, and maintain forecasts, analytical tools, and dashboards that highlight key business drivers and model outputs
Translate complex analytical findings into clear, compelling stories and recommendations tailored to non-technical stakeholders, driving alignment and action
Contribute to data science standards, best practices, and documentation, and mentor team members in advanced analytics and modeling techniques
Collaborate across the organization to solve critical business challenges and support overall business strategy
Qualification
Required
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field
3+ years of experience in applied data science, machine learning, or advanced analytics in a consumer, digital, or eCommerce environment
Demonstrated experience supporting end-to-end modeling projects—from problem framing and data preparation through model development, validation, deployment, and performance monitoring
Proven experience in predictive modeling and machine learning, including techniques such as regression, regularization, tree-based methods (e.g., random forest, gradient boosting), classification, clustering/segmentation, time-series forecasting, and/or uplift modeling
Proficiency in SQL and working with large-scale, complex datasets in modern data warehouses
Strong programming skills in Python and/or R for data science
Experience designing and building data pipelines or automated analytical workflows and reporting tools in partnership with data engineering or BI teams
Demonstrated track record of delivering actionable predictive insight that drives measurable business impact in a consumer or eCommerce context
Strong analytical and quantitative skills, including the ability to use customer research, experimentation, and performance data to optimize marketing and product decisions
Experience designing, executing, and analyzing experiments (A/B tests) and/or using causal inference techniques to estimate incremental impact
Proven ability to convey key insights from complex analyses in clear, concise business terms, including building compelling presentations and data visualizations
Understanding of how pricing, promotion, and brand impressions influence consumer loyalty, brand preference, and lifetime value, and ability to synthesize insights that inform marketing and product strategy
Strong skills in Excel and comfort working with relational databases and cloud-based data ecosystems
Hands-on experience using machine learning and AI for analytics and decisioning
Aptitude and interest in learning new technologies, methods, and tools, and in staying current with the evolving data science and marketing analytics landscape
Strong collaboration and stakeholder management skills, with the ability to build trusted partnerships across Marketing, Product, Commercial, and Technology teams
Preferred
Advanced degree (Master's or PhD) in a quantitative discipline
Experience with Snowflake
Experience with BI tools such as Tableau or Power BI
Understanding of the online marketing ecosystem and channels (e.g., direct, social media, display, affiliate, email, SEM, SEO), customer segmentation, and CRM/database marketing methods
Experience with modern ML/AI tooling (e.g., model orchestration, feature stores, experimentation platforms)
Benefits
401k savings & company match
Paid time off
Paid holidays
Maternity leave
Parental leave
Military leave
Other leaves of absence
Health, dental, and vision benefits
Health savings accounts
Flexible spending accounts
Life & disability benefits
Identity theft protection
Pet insurance
Certain positions may include eligibility for a short-term incentive plan
Company
Covetrus
Covetrus specializes in the production and distribution, inventory management, software and prescription management for veterinary care.
5001-10000 employees
H1B Sponsorship
Covetrus has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (7)
2023 (4)
2022 (20)
2021 (3)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2022-05-25Acquired
2021-01-01Seed
Leadership Team
Benjamin Wolin
Chief Executive Officer
Henning Smith
VP, Architecture Fellow
Recent News
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