Principal Specialist, Data Science at Randstad

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

21 Jun, 26

Salary

0.0

Posted On

23 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Acquisition, Data Processing, Data Integration, Data Cleaning, AI Modeling, Data Science, Statistical Modeling, Data Investigations, Machine Learning, Data Mining, Programming, Scripting, Business Intelligence, Data Visualization, Change Management, Data Pipelines

Industry

Human Resources Services

Description

Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work. We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change. At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally. We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust. • Performs the acquisition, processing, integration, and cleaning of more complex data from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility • Builds and refines advanced AI, data science, and statistical models independently. Contributes significantly to the development and efficiency of the modelling process and integrates into appropriate datasets to bring value to key stakeholders (including customers) • Performs complex data investigations and performs analysis, identifying trends and variances that support the organization’s strategic initiatives. Uses advanced statistics, machine learning-based, or other methods to support this work. This includes managing data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports. Processes developed will be scalable to be used in a standardized manner for multiple uses --- indeed, this requires programming/scripting ability. • Delivers business intelligence projects, providing critical support within assigned areas to better align with organizational strategies. Leads the implementation of new analytics tools and techniques within assigned area • Enhances internal relationships by facilitating the presentation of complex data insights and developing advanced visual aids such as charts and graphs, which illustrate business, operations, customer and economic performance trends and support decision-making processes • Continuously develops and shares knowledge of emerging trends and changes in data analytics, supporting and promoting change management and departmental initiatives within assigned areas of responsibility. Researches more complex data-driven insights that can significantly improve customer experiences • Implements the modernization and automation of data science algorithms and/or data pipelines, educates junior colleagues on (new) reporting solutions and improvement proposals that increase the quality and uniformity of data driven solutions • Independently contributes to the development of data science, and machine learning processing pipelines to ensure that data is continuously updated and maintained for use by stakeholders. Continuous monitoring and testing is performed to ensure proper functionality. Grade Descriptor • Requires in-depth conceptual and practical knowledge in own discipline and basic understanding of related disciplines • Solves a range of problems through applying technical and/or functional experience and guided by precedents • May lead small projects or project steps within a broader project • Works independently, receiving guidance on complex and unprecedented problems • Provides support and guidance to team members • Impacts quality and effectiveness of customer, operational, project/program or service activities within own team and other related teams • Exchanges complex information with others, potentially guiding and persuading others Is this the job for you? We would love to hear from you! Please apply directly to the role and we will get in touch with you. In the accelerating world of work, we offer unparalleled opportunities. Staffing, recruitment, selection, business development, HR, IT, marketing & communications, legal or finance - wherever your talent takes you, you'll find the perfect match in a job at Randstad. To know. To serve. To trust. Striving for perfection. Simultaneous promotion of all interests. Our core values, established in the company's early days, guide our behavior and represent the foundation of our culture. At Randstad, we aim to provide our employees with meaningful rewards and fair remuneration in order to strengthen their ties with the company, while encouraging outperformance. Remuneration is based on real outcomes also taking external market developments into account. We also encourage our employees to participate in Randstad's success via our employee Share Purchase Plan. Randstad is a champion of equity around the world. We believe this helps us build a more agile, productive, and innovative workforce that reflects our talent and client base, and the society in which we work. We believe in our employees and their ability to become leaders. We provide ample opportunities for employees to further develop their leadership skills, to acquire and build a global mindset, and to effectively manage and leverage cultural differences.

Responsibilities

This role involves acquiring, processing, and integrating complex data from multiple sources to improve strategic decision-making, alongside independently building and refining advanced AI, data science, and statistical models. Responsibilities also include performing complex data investigations, delivering business intelligence projects, and enhancing internal relationships by presenting complex data insights.