Job description

Step into a role where data shapes the future of work! We're on the lookout for a highly skilled and analytical Data Scientist to support strategic workforce planning and talent strategy initiatives through advanced analytics, data engineering, and visualization. This role involves designing survey methodologies, synthesizing large-scale unstructured data, and developing predictive models that drive executive-level decision-making. You will also build robust data pipelines and scalable solutions to measure and optimize workforce-related KPIs. Key Responsibilities • Design and implement statistical models and machine learning techniques to analyze talent-related trends and predict workforce needs. • Create robust and scalable data pipelines to consolidate unstructured data from diverse systems such as HRIS, engagement surveys, and performance management platforms. • Develop survey methodologies and perform statistical analysis to inform organizational planning strategies. • Build and maintain interactive dashboards and reports using tools such as Tableau or Power BI to provide actionable insights to leadership. • Collaborate with HR, talent strategy, and business teams to understand workforce dynamics and define key metrics and success measures. • Communicate findings and present recommendations to technical and non-technical stakeholders, including senior executives. • Lead the development of analytics frameworks that support scenario modeling, workforce segmentation, and organizational planning initiatives. • Stay informed on emerging analytics trends and technologies and evaluate their application in workforce intelligence. Qualifications • 7+ years of experience in data science or analytics, preferably within HR, workforce planning, or talent strategy domains. • Proficiency in Python, SQL, and statistical modeling packages. • Strong experience with data visualization platforms such as Tableau, Power BI, or similar tools. • Proven ability to work with large volumes of structured and unstructured data from disparate sources. • Hands-on experience building ETL/ELT pipelines for analytics use cases. • Familiarity with workforce metrics, employee lifecycle data, and organizational design concepts is highly preferred. • Excellent communication skills and the ability to translate complex data into clear business insights. • Experience working in cloud environments such as AWS, Azure, or GCP is a plus. Preferred • Background in designing survey instruments and analyzing employee sentiment data. • Experience in advanced analytics projects related to HR, talent management, or organizational planning. Benefits • 401(k). • Dental Insurance. • Health insurance. • Vision insurance. • We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people. • The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs. Additional Responsibilities • Participate in OP monthly team meetings and participate in team-building efforts. • Contribute to OP technical discussions, peer reviews, etc. • Contribute content and collaborate via the OP-Wiki/Knowledge Base. • Provide status reports to OP Account Management as requested. About Us OP is a technology consulting and solutions company, offering advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields — including AI, cybersecurity, enterprise architecture, and beyond. Our most valuable asset is our people: dynamic, creative thinkers who are passionate about doing quality work. As a member of the OP team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & education. An ideal OP team member is a technology leader with a proven track record of technical excellence and a strong focus on process and methodology.

Requirements