Data Scientist - People Analytics

at  TalentNeuron

TalentNeuron is a top-of-the-line HR analytics enterprise software-as-a-service product that utilizes a vast array of public data sets, including profiles, jobs, companies, universities, demographics, and skills. The product leverages cutting-edge cloud, big data, and open source technologies, frameworks, and toolsets. TalentNeuron stands as the world’s foremost provider of global talent demand and supply data, offering real-time insights and predictive analytics on the job market, location, and competitive intelligence to assist clients in making informed human capital decisions, streamlining workforce access, and advancing corporate diversity, equity, and inclusion initiatives.

WHAT YOU WILL NEED:

• 5+ years of professional experience in data science or analytics, with a strong emphasis on providing analytics solutions to clients
• 3+ years of experience using SQL working with relational databases and data warehousing
• 3+ years of experience in Python or R conducting statistical analysis or developing advanced models
• Strong understanding of statistical concepts and statistical models (correlation, regression, T-test, ANOVA), research methods and experimental design
  If you are seeking an exciting and rewarding opportunity to play a key role as part of a talented and diverse team of analysts, data scientists and technologists, who are laser focused in helping our clients develop insights in support of their talent management strategies and initiatives, we invite you to be part of our journey. Apply now and contribute to the forefront of labor market intelligence with TalentNeuron.
  We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status

• Consultation - Bring your expertise in organizational science principles and analysis to help our clients frame problems, answer questions, and design solutions to improve the associate experience
• Design - Help build and drive key solutions for our customers partners, by working in close collaboration with our Strategic Consulting, Data Science and Technology teams
• Experimentation - Partner with Strategic Consulting team members and our clients and teams to design experiments to help our clients understand underlying drivers that impact their specific problems
• Insights & analysis - Leverage TN data and potential other data sources to analyze the specifics of our clients’ problems/issues and combine those insights with the latest thinking in organizational science to help our clients make data-driven, informed decisions and develop meaningful solutions.