Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and continuously enhance a thorough understanding of HR Acuity's entire data landscape, which includes case types, taxonomies, workflows, and customer segments, rooted in real-world employee relations challenges represented by the data.

• Evaluate what distinguishes HR Acuity's dataset competitively, identify gaps or enhancements that could bolster its analytical value, and proactively highlight opportunities that extend beyond the existing product roadmap.

• Create comprehensive documentation, lineage, and data quality baselines for HR Acuity's employee relations dataset, laying the groundwork required for the growth of the analytics product.

• Design and construct statistical models and machine learning solutions that reveal trends, risk indicators, and benchmarks from HR Acuity’s employee relations case data.

• Utilize NLP and text analytics methods to derive structure, patterns, and signals from HR Acuity’s unstructured case data.

• Lead and enhance HR Acuity’s customer-facing analytics and benchmarking capabilities: increase their statistical rigor, broaden the insights they provide, and ensure they capture the complete analytical depth of the underlying dataset.

• Partner with Data Engineering to ensure pipelines, schemas, and data models align with analytical requirements and uphold data quality.

• Continuously monitor model and data quality, identifying and resolving degradation, drift, or unexpected changes in underlying distributions.

⛳️ Requirements

• 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 success in building and deploying predictive models in production environments.

• Strong Python proficiency across the data science ecosystem (pandas, scikit-learn, statsmodels, scipy, etc.).

• Solid command of SQL with experience in working with relational databases at scale.

• Experience with Snowflake and cloud-based ELT methodologies.

• Azure experience is 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 in evaluating LLM-powered features in production, including assessing AI-generated outputs for accuracy, calibration, and bias.

• Understanding of privacy-preserving statistical methods for aggregate analytics.

🏝️ Benefits

• Stay healthy and happy with our comprehensive medical, dental, and vision plans.

• You can also select from FSA or HSA options to meet your needs.

• Save for your future with our 401K plan that matches your contributions.

• Enjoy paid leave for various life events, such as illness, disability, or parenthood.

• Own a piece of the company through our #Allin Shares Program.

• Company-paid holidays, a day off for your birthday, closure during the 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 enjoy 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 promotes collaboration and creativity.