Data Scientist

Job not on LinkedIn

🔥 2 minutes ago

🏈 Alabama, Florida, +4 more states – Remote

🏈 Alabama – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

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Swipeclock

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1999

👥 HR Tech

☁️ SaaS

🤝 B2B

💰 $241.5k Seed Round on 2015-03

HR Tech • SaaS • B2B

Swipeclock is a provider of workforce management software focused on time & attendance, scheduling, applicant tracking, and onboarding. The company offers cloud-based products (branded WorkforceHub and ApplicantStack) and APIs that allow partners to embed time tracking into platforms, resell full workforce solutions, or integrate with payroll systems. Swipeclock targets employers and B2B partners (payroll providers, resellers, and platforms), highlighting partner programs, integrations, and developer/partner portals. The company lists an office in South Jordan, Utah.

📋 Description

• Lead data science projects developing business intelligence solutions • Perform data mining, data analytics, and predictive analysis across disparate systems and databases • Identify trends, relationships, anomalies, and underlying data patterns • Formulate, interpret, and articulate results into actionable audit and investigative decision information • Communicate findings orally and through visualizations, including graphs, charts, and interactive mapping • Create written reports • Support the Offices of Inspectors General and the Pandemic Response Accountability Committee’s Pandemic Response Center of Excellence mission

🎯 Requirements

• US Citizenship is required • Must be based in the United States and must be a resident of Maryland, Virginia, DC, North Carolina, Florida, Texas, or Alabama • Active Secret clearance is highly desirable • Two or more years of experience training, evaluating, and deploying machine learning models using Databricks, PySpark MLlib, and Unity Catalog, with recent experience in the last 6 months • Five or more years of continuous, hands-on experience developing analytic rules and models using leading-edge fraud analytic tools and industry best practices • Five or more years of continuous, hands-on experience with data management and advanced analytic techniques, current within the last 6 months • Five or more years of continuous, hands-on experience proactively using data science to identify, detect, and prevent fraud, waste, abuse, and mismanagement, current within the last 6 months • Five or more years of continuous experience working in team environments and independently • Within the last 12 months, experience using at least two additional software packages and/or programming languages from R, Python, Power BI, SQL, Tableau, and SAS • Experience with Databricks, PySpark, and Unity Catalog • Experience using Neo4J is a plus

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