Senior Data Scientist – AI Analyst

Job not on LinkedIn

🔥 7 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Dayforce

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🏢 Enterprise

💰 $1G Post-IPO Debt - Dayforce on 2024-03

HR Tech • SaaS • Enterprise

Dayforce is a cloud-based human capital management (HCM) platform that delivers payroll, workforce management (time & attendance), HR, benefits, and talent management capabilities in a single SaaS application. It is marketed to organizations for managing employee lifecycle, payroll processing, scheduling, and compliance. Dayforce is primarily a B2B enterprise HR/payroll software solution.

📋 Description

• Build sustainable solutions for our customers using data analysis, machine learning, and generative AI techniques • Perform cost-benefit analyses to determine the value of a project and assist in estimating the return on investment of deployed analytical and AI solutions • Identify new data sources—internal and external, structured and unstructured—and quantify their potential value as inputs to AI, ML, and analytical products • Partner with data engineers to build analytical and model training datasets and with ML ops engineers to operationalize solutions • Present solution results to the Data, Analytics, and Technology team, as well as business partners across the organization; translate technical work into business outcomes • Monitor and maintain solutions once deployed; identify opportunities to increase the impact of deployed solutions • Perform ad-hoc analyses as needed • Remain current on industry trends, tools, and techniques • Be a thought partner. Assist in driving or supporting the business problem solving process.

🎯 Requirements

• Bachelor’s degree in a relevant field required • 5+ years of experience in a Data Science, Applied AI, or Applied R&D role • Hands-on experience building solutions with large language models • Strong foundation in statistics, classical machine learning, and experimentation • Strong knowledge of Python and/or R • Strong knowledge of SQL • Hands-on experience with version control systems such as git is a plus but not required • Ability to partner with engineers to operationalize assets in production • Ability to build analytical and AI-powered web applications via e.g. Streamlit, R Shiny, and/or PowerBI, etc. • Insurance or financial services experience strongly preferred • Ability to prioritize and balance speed of development with quality of work • Experience building end-to-end solutions • Ability to collaborate with fellow members of the Data, Analytics and Technology group and with our business partners • Strong project management skills, with emphasis on attention to details and meeting proposed timelines • Clear, concise communication skills with the ability to share complex information in a way that everyone can understand • Ability to build productive working relationships with stakeholders • Ability to process and adapt to change in a rapid growth company environment.

🏖️ Benefits

• performance-based bonus potential • strong health & welfare benefits • retirement plans with company match • competitive time off plans • highly flexible work environment • much more