Data Scientist

Job not on LinkedIn

🔥 4 hours 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 12%

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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 workforce management and timekeeping software provider. It offers WorkforceHub and related products for time & attendance, scheduling, PTO management, applicant tracking, onboarding, and physical time clocks. Swipeclock provides APIs and embedding options so partners can integrate time-tracking into their platforms, and operates reseller and referral partner programs (including payroll integrations). The company emphasizes serving small business clients via B2B partner channels and reports having processed millions of workers' hours and schedules.

📋 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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