Staff Data Scientist

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🔥 12 hours ago

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Acuity, Inc.

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2002

🤝 B2B

🏛️ Government

B2B • Government • Technology

Acuity, Inc. is a leading IT consultancy that empowers federal missions through innovation and technology. Partnering with federal agencies, Acuity focuses on evolving IT infrastructure, enabling data-driven decision-making, and automating critical processes to enhance mission performance. With expertise in areas such as digital evolution, data enablement, and hyperautomation, Acuity combines cutting-edge technology with a people-first approach to deliver tailored solutions that drive meaningful outcomes and foster collaborative relationships.

📋 Description

• 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

• 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

• 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.