Data Scientist at Kforce Inc in New York, New York

Job Description:

RESPONSIBILITIES:

Kforce has a client in NYC that is seeking a Data Scientist.

Summary:
We are seeking Data Analysts who are not only technically adept, but also understand the importance of harnessing the power of data and stakeholder management to streamline financial operations, infrastructure asset utilization that enhance decision-making and improve business outcomes. This team is focused on developing and maintaining dynamic technology infrastructure cost allocation and projection models along with enhancing infrastructure monitoring, incident prediction, and automated resolution capabilities. The role requires a blend of technical prowess in analytics, data engineering, and an understanding of enterprise infrastructure components & their economics.

The team shall be working on various interesting projects including analytical insights for financial forecasting, contract intelligence and AIOps. If you are a highly motivated and experienced data analyst looking to make significant impact in a dynamic environment, and you have proficiency and experience with analyzing and visualizing data, extracting actionable insights and uncovering trends, we want to hear from you.

Responsibilities:

• Collaborate with stakeholders across the organization to understand functional requirements and translate them into actionable data analysis tasks


• Collect, clean and manipulate data from multiple sources to prepare it for analysis, ensuring accuracy and completeness


• Perform exploratory data analysis to uncover trends, patterns and correlations, and provide valuable insights


• Develop and maintain dashboards, reports and visualizations to communicate key findings and insights to stakeholders to enable data-driven decision-making


• Assist with the development and implementation of predictive models and analytical methodologies to forecast infrastructure resource needs and support proactive planning efforts

REQUIREMENTS:

• Bachelor's or Master's degree in Computer Science, Data Analytics, Statistics, Mathematics, or a related discipline is a plus


• 2+ years of experience in a data analysis role, with a proven ability to manipulate and analyze large datasets


• Experience in AIOps


• Thorough understanding of enterprise infrastructure technologies such as Compute, Storage, Network, Mainframe to inform model development and adjustments


• Proficiency in data manipulation and analysis using Python and SQL


• Proven experience in creating compelling presentations and reports using Powerpoint, Figma or Canva


• Experience with data visualization tools (Tableau, PowerBI, matplotlib, etc.), with strong ability to communicate complex findings effectively


• Excellent communication and interpersonal skills, with the ability to collaborate effectively with stakeholders across different functions and levels of the organization


• Strong analytical and problem-solving skills, coupled with a keen attention to detail and the ability to uncover insights from data


• Proven ability to work independently as well as collaboratively in a fast-paced and dynamic environment, with a passion for learning and professional growth

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless
and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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