HirePower Staffing Solution

About the Company

About Us about HirePower Staffing Solutions.
At HirePower Staffing Solutions, we are dedicated to revolutionizing the way businesses connect with top-tier IT talent. Founded on the principles of innovation, reliability, and excellence, we specialize in providing comprehensive staffing solutions tailored to the unique needs of our clients.

With years of experience in the technology sector, our team understands the challenges businesses face in finding skilled professionals who can drive success in today's dynamic digital landscape. That's why we've made it our mission to simplify the hiring process and empower companies to build exceptional teams that fuel growth and innovation.

Listed Jobs

Company Name

HirePower Staffing Solution

Job Title

Data Scientist

Job Description

Job title: Data Scientist Role Summary: Transform raw data into actionable insights, design scalable predictive models, and collaborate with engineering to deliver production-ready analytics solutions. Expectations: Deliver high-quality, data-driven solutions that influence strategic decisions; maintain data integrity and model accuracy; communicate findings clearly to cross-functional stakeholders. Key Responsibilities: - Clean, validate, and structure raw datasets for analysis. - Develop and implement scalable prediction algorithms using machine learning techniques. - Work with engineering teams to prototype and deploy analytical models into production environments. - Produce dashboards and reports that translate analytical outcomes into business insights. - Monitor model performance and iterate improvements. Required Skills: - Strong background in predictive modeling, clustering, and classification. - Proficient programming in Python, Java, C/C++, or SQL. - Experience with Big Data frameworks (Hadoop, Spark, Cassandra). - Familiarity with visualization tools (Tableau, Power BI). - Ability to translate complex data findings into clear, actionable recommendations. Required Education & Certifications: - Bachelor’s degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.). - 1–2 years of professional experience in quantitative analytics or data modeling.

New york, United states

On site

Senior

11-03-2026