The Klick Group—comprising Klick Health (including Klick Katalyst and btwelve), Klick Media Group, Klick Applied Sciences (including Klick Labs), Klick Consulting, and Klick Ventures—is an ecosystem dedicated to realizing the full potential of our people and clients in life sciences. Founded in 1997, we have offices in New York, Philadelphia, Saratoga Springs, Toronto, London, São Paulo, and Singapore. Consistently named a Best Managed Company, Most Admired Corporate Culture, and Great Place to Work, Klick is committed to fostering a high-performance, people-first culture with creativity, collaboration, innovation, and impact across everything we do.
About our Omnichannel Enablement Craft
Our Omnichannel Enablement Craft connects channels, data, and technology into unified experiences. The team ensures audiences encounter consistent, coordinated messaging across touchpoints. By aligning media, platforms, and analytics, the craft supports seamless journeys and measurable outcomes. Their work enhances effectiveness, optimization, and insight across the ecosystem.
The Data Solutions Consultant supports analytics and omnichannel initiatives by designing, building, and applying data and machine learning solutions that address real business questions. This role works closely with Analytics, Data Engineering, and Enablement partners to translate requirements into scalable, data-driven outputs. The focus is on practical application, technical rigor, and delivering insights that inform decisions across teams and clients.
What You’ll Do
- Collaborate with Analytics, Data Engineering, and Enablement partners to gather requirements and translate business questions into analytical and ML solutions using Python and SQL
- Design, build, and optimize data pipelines and ETL workflows to support advanced analytics and machine learning use cases
- Develop, train, evaluate, and deploy machine learning models that generate actionable insights and measurable value
- Work with enterprise data warehouses and data lakes, including Snowflake and cloud platforms such as AWS or GCP
- Document workflows, models, and processes to ensure scalability, maintainability, and reproducibility across analytics initiatives
Required:
- Minimum 2 years of hands-on experience delivering machine learning projects, including model development, training, evaluation, and deployment in real-world environments
- Proficiency in Python and SQL, with applied experience using libraries such as scikit-learn, TensorFlow, or PyTorch to support analytics or ML workflows
- Demonstrated experience with data preprocessing, feature engineering, and statistical modeling across structured or behavioral datasets
- Hands-on experience working with clickstream data, data lakes, and big data ecosystems such as Spark, AWS, or GCP
- Experience translating technical concepts and analytical outputs for non-technical stakeholders, including gathering requirements from clients or business partners
Desired:
- Comfort and enthusiasm for using AI as a regular part of how work gets done
- Experience in healthcare, life sciences, media, or agency environments, including marketing or payer analytics datasets
- Advanced degree (Master’s or Ph.D.) in Data Science, Machine Learning, Computer Science, or a related quantitative field
- Knowledge of database design and data modeling principles within modern analytics platforms
- Experience with data visualization tools such as Power BI and familiarity with CI/CD pipelines or Git-based version control
This posting is for an existing vacancy at Klick. The base salary range for this position is between CAD $85,000 - $105,000. The final amount offered will be determined based on several factors such as a candidate's work location, their unique skill set, education, and prior work experience.
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Our Commitment to Inclusion
Klick is consciously creating a culture where everyone can thrive and grow in their careers. We believe that our best work comes from our diverse backgrounds, perspectives, and skills. We strongly encourage members of historically underrepresented communities to apply, including Black people, Indigenous peoples, and other people of color, people with disabilities, people from gender and sexually diverse communities and people with intersectional identities. We're also committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please contact us at [email protected] and we will work with you to meet your accessibility needs and ensure you have a positive experience.
