Data Solutions Consultant

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. #LI-TH1 #LI-Hybrid Our Commitment to Inclusion Klick uses an AI-powered tool as part of an automated process to support our hiring process by analyzing your experience, skills, and qualifications to help identify alignment with role requirements. Please note that the tool does not make final decisions or automatically disqualify candidates. Hiring decisions are made by our team, with thoughtful human judgment and oversight. We are committed to fair and transparent hiring practices and have implemented safeguards to help mitigate bias and support compliance with applicable laws. If you have questions, accessibility needs, or concerns about the use of this tool, please contact us. 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 ... (truncated, view full listing at source)