Data Scientist, Beaverton

Actlabs is a global leader in laboratory analytical services with 35+ years of experience across mining, geochemistry, environmental testing, agriculture, cannabis, health, life sciences, and petroleum industries. We are building a dedicated AI and Data Science team to unlock the value of our extensive data asset and drive competitive intelligence, operational efficiency, and client value.

We are investing in the future, implementing innovative strategies to maintain our leadership and strengthen our impact across the sectors we serve. This is an exciting opportunity for dynamic individuals who want to be part of an established and rapidly growing company.

Role Overview: The Data Scientist works within an agile, cross-functional team to deliver data-driven initiatives from insight to impact. You will own the analytical and insight layer, statistical interpretation, storytelling with data, and stakeholder communication, while collaborating with teammates across data engineering and technical implementation. You will bridge the gap between analytical outputs and operational decision-makers, translating complex findings into clear, defensible recommendations.

Education Required: Master's or PhD in Statistics, Mathematics, Data Science, Computer Science, Physics, or a related quantitative field strongly preferred; Bachelor's considered with exceptional applied experience

Experience Required:

• 5+ years of hands-on data science experience, including 2+ years delivering models to production with documented business impact

• Proven experience with complex, real-world datasets and communicating findings to non-technical stakeholders

Preferred Qualifications

• Experience with laboratory, scientific, industrial, or quality control data

• Familiarity with LLM fundamentals or NLP applications

• MLOps knowledge: model tracking, registries, and monitoring frameworks

• Background in regulated or accredited environments (ISO, GMP, or equivalent)

• Familiarity with geochemistry, mining, or environmental science domains

Other Requirements:

• Expert Python: pandas, NumPy, scikit-learn, statsmodels, and visualization libraries

• Strong SQL for complex querying and large relational datasets

• Deep grounding in inferential statistics, hypothesis testing, regression, causal inference, and experimental design

• Practical experience with supervised and unsupervised learning, time series analysis, and anomaly detection

• A/B test design and analysis from first principles

• Proficiency in Power BI or equivalent (Tableau, Looker)

• Strong understanding of temporal validation and evaluation metrics for real-world datasets

Responsibilities:

Statistical Analysis & Insight Generation

• Design, build, and validate statistical and machine learning models applied to complex, domain-specific datasets

• Perform rigorous exploratory data analysis to surface patterns, outliers, and trends

• Apply causal inference and experimental methods to evaluate the impact of operational or process changes

• Translate model outputs into clear, actionable narratives for operational managers and senior leadership

• Design and execute experiments to validate hypotheses about processes, client behavior, and data quality

Predictive Modelling & Business Intelligence

• Build and maintain predictive models across key business domains to support operational and commercial decision-making

• Develop client intelligence models to inform retention, segmentation, and growth strategies

• Build and own Power BI dashboards that translate analytical findings into actionable business metrics

• Define core metric definitions and support pricing, capacity planning, and service optimization with quantitative analysis

Laboratory Data & Feature Engineering

• Develop deep familiarity with internal data flows, terminology, and the domain context behind the numbers

• Lead workshops with subject matter experts and commercial stakeholders to define ground truth for analytical tasks

• Collaborate with technical teammates on feature engineering and maintain reusable analytical datasets

• Identify and document data quality issues that affect analytical validity

Model Validation & Governance

• Own statistical validation including appropriate train/test design, cross-validation, and metric selection

• Produce clear model documentation covering assumptions, limitations, and known failure modes

• Monitor analytical outputs for performance degradation and changes in underlying data

• Support audit and compliance inquiries with thorough methodology documentation

Stakeholder Communication & Influence

• Present findings to diverse audiences including operational leaders, commercial teams, and executives

• Partner with business teams to translate analytical insights into practical recommendations

• Champion evidence-based decision-making and data literacy across the organization

Our Hiring Process

We keep our process straightforward and respectful of your time. Shortlisted candidates will move through the following stages:

• Introductory Alignment Assessment: Shortlisted candidates will be asked to complete a brief written questionnaire prior to any live conversation, giving us an early sense of your thinking and approach.

• Take-Home Assignment: Candidates will complete a practical, work-relevant assignment designed to assess problem-solving, analytical structure, and the ability to communicate findings clearly.

• Technical Interview (Online/In-Person): A live problem-solving coding session followed by a panel interview. Candidates are allowed to use AI tools, we evaluate how you think and work, not whether you have memorized syntax.

• Team Interview (In-Person): A structured conversation with the broader team assessing your subject knowledge, collaboration style, communication, and alignment with our ways of working.

A Workplace for All:

At Actlabs, we celebrate diversity and are committed to creating an inclusive workplace environment for all employees. We are proud to be an equal opportunity employer, and we strive to ensure that all voices are heard, all cultures are respected, and a variety of perspectives are not only welcome but essential to our success. We treat each other with fairness and dignity, regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation, or any other personal consideration. We believe that a diverse and inclusive workforce is key to driving innovation and achieving excellence.

Actlabs is an equal opportunity employer. We value diversity and are committed to creating an inclusive, respectful environment for all. Every application will be reviewed fairly and equitably. We thank all applicants for their interest; only those selected for an interview will be contacted.

AI may be used to screen or source possible candidates. This position is being posted to fill a new role.