Staff Data Scientist

Acuity, Inc.

Staff Data Scientist building analytical models to understand employee relations data for organizations. Collaborating to develop customer-facing data products and establish data quality baselines.

Posted 6/24/2026full-timeRemote • 🇺🇸 United StatesLead💰 $170,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudKubernetesPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Develop and continuously deepen a comprehensive understanding of HR Acuity's full data landscape, including case types, taxonomies, workflows, and customer segments, grounded in the real-world employee relations problems the data represents.
Assess what makes HR Acuity's dataset competitively distinctive, identify gaps or additions that would strengthen its analytical value, and proactively surface opportunities that extend beyond the current product roadmap.
Build rigorous documentation, lineage, and data quality baselines for HR Acuity's ER dataset, establishing the foundation the analytics product needs to grow on.
Design and build statistical models and machine learning solutions that surface trends, risk signals, and benchmarks from HR Acuity’s employee relations case data.
Apply NLP and text analytics techniques to extract structure, patterns, and signals from HR Acuity’s unstructured case data.
Own and elevate HR Acuity’s customer-facing analytics and benchmarking capabilities: deepen their statistical rigor, expand the insights they deliver, and ensure they reflect the full analytical depth of the underlying dataset.
Collaborate with Data Engineering to ensure pipelines, schemas, and data models support analytical needs and maintain data quality.
Monitor model and data quality over time, identifying and addressing degradation, drift, or unexpected changes in underlying distributions.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Statistics, Data Science, Computer Science, or a related quantitative field — or equivalent practical experience.
6+ years of experience in data science, applied statistics, or machine learning.
Proven track record building and deploying predictive models in production environments.
Strong Python skills across the data science ecosystem (pandas, scikit-learn, statsmodels, scipy, etc.)
Solid SQL command with experience working with relational databases at scale.
Experience with Snowflake and cloud-based ELT patterns.
Azure experience preferred, particularly for model pipelines and container-based workloads (e.g., Kubernetes).
Familiarity with dbt or similar transformation frameworks is a plus.
Demonstrated experience with unstructured text data, including NER, PII detection and anonymization pipelines, text classification, topic modeling, entity extraction, and embeddings.
Experience evaluating LLM-powered features in production, including assessing AI-generated outputs for accuracy, calibration, and bias.
Familiarity with privacy-preserving statistical methods for aggregate analytics.

Benefits

Comp & perks

Stay healthy and happy with our comprehensive medical, dental and vision plans.
You can also choose from FSA or HSA options to suit your needs.
Save for your future with our 401K plan that matches your contributions.
Enjoy paid leave for various life events, such as sickness, disability, or parenthood.
Own a piece of the company with our #Allin Shares Program.
Company paid holidays, birthday day off, closed 4th of July week and December holiday week and 8 hours of volunteer time.
Half day summer Fridays* and half day first Fridays* to catch up on work, personal development, or an afternoon off.
Take a break from work with our unlimited PTO policy to refresh and recharge.
Access professional and personal support through our employee assistance program.
Work from anywhere with our remote work environment that fosters collaboration and creativity.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceapplied statisticsmachine learningstatistical modelsnatural language processingtext analyticspredictive modelsPythonSQLunstructured text data