Description
About Klick Health
Meet a different kind of workplace. Klick Health is an ecosystem of brilliant minds working to realize the full potential of their people and clients in life sciences since 1997. And we’re still growing fast, even after two decades. What does that mean for you? As Klick experiences exponential growth year-over-year, so do the people who help make it happen. Because we’re constantly evolving and changing, we invest in talent early and often, to develop future leaders at all levels. We’re one of the country’s Top 10 Great Workplaces, 10 Most Inspiring Cultures, Best Workplace for Innovators, Best Managed, and Fastest Growing. We know that career paths are seldom simple and straightforward. And that's an asset. If you feel like you'd be a good fit for this role, we encourage you to apply and take the first steps to starting your career journey at Klick!
It’s a very exciting time for the Analytics team at Klick – we’ve won a ton of new clients recently and they’re all eager to get in on the big data revolution and will require data-savvy partners to guide their marketing strategy. The scope is expansive, from web analytics to marketing mix optimization to predictive modeling. Needless to say, we’re going to need some enthusiastic, versatile and creative thought leaders to meet their demand. That’s where you come in.
The Position
As a Data Solution Consultant at Klick, you will play a key role in the Analytics team, collaborating closely with Marketing Analytics delivery leads and stakeholders to designdevelop, and maintain scalable data solutions. You will contribute to building robust pipelines, creating insights-driven models, and implementing machine learning (ML) solutions that drive actionable outcomes for our clients.The right candidate will have hands-on experience with machine learning projects, a strong data science skillset, and the ability to handle growing datasets in dynamic environments. You will work across teams to provide cutting-edge data-driven solutions that align with client needs, integrating ML models and analytical insights into marketing and business operations.
This position offers a unique opportunity to combine data engineering and data science expertise, contributing to both client engagements and marketing sciences products andservices. Your work will be integral in shaping data-driven strategies and will showcase your skills in a collaborative, fast-paced, and innovative setting. With a focus on delivering value to clients in pharmaceutical and healthcare sectors, you’ll be working on cutting-edge solutions that align with industry-specific challenges, making this an exciting opportunity to apply your skills where they matter most.
Responsibilities
- Collaborate with data engineering team members, data analysts, and project managers, to gather project requirements and define project scope.
- Design, build, and optimize data architectures and ETL pipelines to support ML workflows and advanced analytics (Python, SQL).
- Develop, train, and deploy machine learning models that solve complex business problems and generate client value.
- Maintain and enhance enterprise data warehouse and data lakes (Snowflake experience preferred).
- Generate actionable insights by applying statistical methods, ML models, and advanced analytics techniques to solve client-specific challenges.
- Create and document processes to ensure scalability, maintainability, and reproducibility of data science and engineering workflows.
- Stay updated on emerging trends and tools in machine learning, AI, and data science.
Qualifications
- Minimum 2 years of hands-on experience in machine learning projects, including model development, training, evaluation, and deployment.
- Proficiency in Python (experience with libraries like scikit-learn, TensorFlow, or PyTorch) and SQL is a must.
- Strong understanding of data preprocessing, feature engineering, and statistical modeling.
- Experience with clickstream datasets, data lakes, and big data ecosystems (e.g., Spark, AWS, GCP).
- Ability to effectively communicate technical concepts to non-technical stakeholders and gather business requirements from non technical stakeholders and client.
Nice To Have
- Experience in the healthcare/media/agency industry or working with marketing analytics/ payer analytics datasets.
- Advanced degree (Master's or Ph.D.) in Data Science, Machine Learning, Computer Science, or a related field.
- Knowledge of database design and management.
- Experience with visualization tools like Power BI.
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
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 colour, 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 careers@klick.com and we will work with you to meet your accessibility needs and ensure you have a positive experience.
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