Senior Data Science Engineer

Senior Data Science Engineer

Industry - Advertising and Healthcare

Employment Type - Full-time

Job Functions - Product and Data Engineering

Who we are

Our mission is to connect every healthcare practitioner with innovative treatments, helping them discover and deliver better care. 

Wrango, a Clue Digital brand, is a data and advertising platform for healthcare marketers, designed to transform how life-saving treatments reach the right practitioners. We believe digital advertising has the power to bridge the gap between innovation and patient care, ensuring that every healthcare provider has access to the insights they need to make informed treatment decisions.

Every day, we compliantly ingest vast amounts of medical and pharmacy claims data, along with events from Electronic Health Records (EHR) platforms, and transform them into actionable HCP audiences and measurement tools for digital campaigns. Our platform enables brands to plan, activate, and measure omnichannel campaigns with real-time insights, ensuring they engage high-value practitioners efficiently.

We work with healthcare brands bringing life-saving treatments to market and agencies managing their digital campaigns, providing them with the tools to optimize and measure HCP engagement with confidence. With flexible service models, competitive pricing, and precision-driven measurement, Wrango helps clients scale their campaigns without sacrificing efficiency. 

As a HIPAA-compliant platform, we uphold the highest standards of data privacy, ensuring healthcare marketing remains both effective and ethical.

The Opportunity

The Sr. Data Science Engineer plays a critical role in shaping the strategy, development, and execution of our AI/ML initiatives. This product-minded leader is responsible for advancing our predictive audience modeling and lift analytics capabilities—driving innovation at the intersection of health data, privacy, and advertising. It's a unique opportunity to build and scale a world-class data science organization and help define the future of compliant healthcare advertising.

We’re looking for someone with high agency—a self-starter who’s reliable, resourceful, and relentlessly outcome-driven. When you meet with them on a tough day, you leave energized and ready to sprint a marathon on a treadmill set to max incline.

We value a bias for action, ambition balanced with integrity, and clarity under pressure. You thrive in fast-paced environments, think creatively in the face of challenges, and always push progress forward.

You’ll be joining a tight-knit, ambitious team that moves fast, supports one another, and celebrates wins—big and small. We’re building something meaningful, and we’re looking for teammates who are entrepreneurial, adaptable, and excited to grow with us.

Key Responsibilities

• Own the end-to-end design and deployment of predictive models
• Leverage regression modeling, machine learning algorithms, and statistical techniques to predict HCP behavior, optimizing pharmaceutical and medical device advertising.
• Develop scalable and efficient ML pipelines utilizing AWS, Databricks, Spark, and Python-based ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Engineer robust ETL/ELT processes to handle massive, continuously growing datasets.
• Implement model deployment pipelines (MLOps) for scalable and real-time predictive capabilities.
• Collaborate cross-functionally to translate predictive insights into actionable targeting strategies.
• Identify opportunities to enhance predictive accuracy through innovative experimentation and analytical techniques.
• Visualize complex data insights clearly to stakeholders using tools like Looker, and Python libraries.
• Visualize complex decision trees and scoring logic clearly to stakeholders using tools like Python graphing libraries.
• Ensure compliance with privacy regulations like HIPAA.
• Document data models, pipelines, methodologies, and analytical results comprehensively.
• Attend events and client meetings as an product owner of AI capabilities of Wrango

Required Skills and Experience  

Technical Skills

Programming

• Tools: Python, PySpark
• Why it matters: Essential for data manipulation, ML pipeline development, and advanced analytics.

Database & Querying

• Tools: SQL
• Why it matters: Required to analyze and manage massive advertising and claims datasets efficiently.

Big Data Technologies

• Tools: Apache Spark, Databricks
• Why it matters: Necessary to process and analyze multi-terabyte advertising data.

Predictive Modeling & Statistics

• Techniques: Regression, Classification, A/B Testing, Experimental Design, LightGBM / XGBoost, CausalML/EconML
• Why it matters: Crucial for accurate predictive analytics, campaign optimization, and causal inference.

Cloud & Model Deployment

• Tools: AWS, Databricks ML, Pipeline Development
• Why it matters: Ensures reliable, scalable, production-ready predictive systems.

Deep Learning & Advanced AI

• Tools: TensorFlow, PyTorch
• Why it matters: Enables cutting-edge analytical solutions and advanced model development.

Visualization & BI Tools

• Tools: Looker, Superset, Python Visualization Libraries
• Why it matters: Critical for communicating insights clearly to non-technical stakeholders.

Healthcare Domain Knowledge (Prioritized / Preferred)

• Datasets: Claims data including NDC, ICD-10, CPT and HCPCS Codes
• Why it matters: Ensures accurate interpretation of healthcare-specific data sets.

AdTech Domain Knowledge (Prioritized / Preferred)

• Concepts: DSPs, Real-time Bidding, CPM/CPC, Attribution Modeling
• Why it matters: Facilitates strategic targeting and effective campaign execution.

Data Privacy & Compliance (Prioritized / Preferred)

• Regulations: HIPAA, CCPA, PIPEDA
• Why it matters: Essential for maintaining user privacy and regulatory compliance.

Systems & Algorithms (Prioritized / Preferred)

• Techniques: Collaborative Filtering, Lookalike Modeling, Spark ALS + Databricks Vector Search
• Why it matters: Valuable for personalized targeting and enhanced campaign effectiveness.

Soft Skills

• Analytical Problem-solving & Creativity – Approach complex, open-ended problems with innovative, data-driven solutions.
• Strong Communication – Clearly translate complex findings into compelling insights for technical and non-technical stakeholders.
• Curiosity & Continuous Learning – Enthusiasm to explore new technologies, ML techniques, and stay updated with industry advancements.
• Proactive Mindset – Independently identify and address ambiguous challenges with initiative and drive.
• Collaboration & Cross-Functional Alignment – Partner seamlessly with Product, Engineering, Ad Ops, and Commercial teams; work effectively across distributed, cross-functional teams.
• Stakeholder Management & Influence – Build trust, manage expectations, and secure buy-in by framing insights around revenue, efficiency, or compliance impact.
• Strategic Thinking & Business Acumen – Spot high-ROI opportunities, align model roadmaps with product strategy, and quantify business value of data initiatives.
• Problem Solving & Innovation – Tackle ambiguous, large-scale challenges with creative, analytical solutions; champion experimentation and continuous improvement.
• Adaptability & Flexibility – Pivot gracefully amid shifting priorities, new tech, or regulatory changes while maintaining delivery momentum.
• Empathy & Emotional Intelligence – Listen actively, understand user and teammate perspectives, and cultivate psychological safety.
• Ownership & Organization – Drive multiple initiatives end-to-end—set clear priorities, manage timelines, and deliver reliable, production-ready outputs.

Preferred Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or related fields; Master's or PhD strongly preferred.
• Minimum of 5+ years professional experience in data science roles

Why join Wrango?

• Competitive salary $130k-$150k and Profit Sharing Quarterly bonus structure (10%) with a total overall target earnings of $143k-$155k 
• Comprehensive benefits with 25 vacation days in addition to holidays
• Remote-first work. The candidate has to be able to be in Toronto for sprint retrospectives done in-person every two weeks. 
• Friday UberEats stipend to enjoy at lunch or dinner
• Monthly in person town halls and happy hours in Toronto
• Summer and Winter in-person company retreats
• Choice of tech stack – choose the computer and set up that suits your working style

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.