Freelance Data Scientist

🕒 June 2

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Klick

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1997

📋 Compliance

🏢 Enterprise

🤝 B2B

🔥 Funding within the last year

💰 Private equity on 2025-08

Compliance • Enterprise • B2B

Klick is a digital services provider that customizes website user interfaces and privacy/consent experiences — the provided text is CSS that styles a OneTrust consent/privacy center. Klick appears to implement and brand consent-management UI, focusing on front-end web customization and ensuring a compliant, consistent user experience for clients' privacy notices and cookie consent flows.

📋 Description

• Design data science approaches that balance client business goals with statistical, technical, and data constraints. • Python data analysis workflows using tools such as pandas, NumPy, matplotlib/plotly, scikit-learn, SQL, git, and GitHub. • Analyze healthcare, marketing, commercial, clinical, or utilization data using methods such as natural language processing and free-text analysis, clustering, geospatial analysis, descriptive statistics, and predictive modeling. • Translate technical findings into clear data stories, visualizations, and client-ready recommendations for cross-functional stakeholders. • Support and own experimental design, data analysis workstreams, and documentation across consulting engagements.

🎯 Requirements

• Undergraduate degree in a computational, scientific, or health-related field, e.g., statistics, mathematics, bioinformatics. • Demonstrated experience analyzing structured or unstructured data, including observable understanding of bias, error, confounding, power, and significance. • Hands-on experience using Python data analysis tools such as NumPy, pandas, matplotlib, or scikit-learn, plus SQL for data extraction or analysis. • Working familiarity with git, GitHub, and command-line workflows to document and collaborate on analysis scripts. • Experience translating technical analysis into written or verbal recommendations for cross-functional stakeholders. • Ability to independently scope, execute, and explain smaller analysis workstreams, while collaborating with data scientists, consultants, and strategists on larger projects. • Practical experience using AI tools to accelerate technical work, including validation, maintainability, and reliability. • Comfortable working with ambiguous or evolving business questions, making assumptions explicit, and adapting to new context. • Desired: 3+ years of professional experience in analytics, data science, or applied research outside a purely academic context. • Experience analyzing real-world data (RWD), e.g., healthcare administrative claims, EHR data, or clinical outcomes. • Familiarity with AWS, Google Cloud Platform, Microsoft Azure, or other cloud-based analytics environments. • Graduate degree in data science, statistics, bioinformatics, or a related quantitative field. • Experience applying advanced analytic methods and technologies to answer business or clinical questions, such as natural language processing, hierarchical Bayesian modeling, Markov chain Monte Carlo, and generative AI.