Senior Specialist, Data Science at Randstad

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Acquisition, Data Processing, Data Integration, Data Cleaning, Complex Datasets, Programming, Software Development, Advanced Statistics, Machine Learning, Data Dashboards, Reporting, Data Investigations, Data Mining, Validation, Reconciliation, Data Science 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. • Assists with the acquisition, processing, integration, and cleaning of complex data from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility • Handles complex datasets and scenarios with increased autonomy. Will use programming or software development tools/processes to further process, clean, and prepare datasets in a manner that requires advanced statistics, machine learning-based, or other methods (i.e,. taxonomies, spell correction, location normalization, anomaly detection, hypothesis testing, etc). Assists in building and refining complex data dashboards and reports, using a variety of tools to automate data collection and generate sophisticated reports. Contributes significantly to the development and efficiency of analytical processes, ensuring complex data insights are effectively presented to stakeholders • 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 • 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. Automation is expected to be performed for both the data pipeline development and validation] • Cultivates 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. Assists in the proactive identification of complex data-driven insights that can significantly improve customer experiences • 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. Performs automation both the data pipeline development as well as validation Grade Descriptor • Requires working knowledge of own discipline and a basic understanding of concepts and procedures in related disciplines • Demonstrates knowledge of the company, processes and customers • Performs a range of assignments related to discipline • Uses prescribed guidelines or policies in analyzing situations and resolving problems to deliver continuous business results • Receives a moderate level of guidance and direction; may provide informal guidance to new team members • Impacts quality and effectiveness of own team and may impact other closely related work teams whose activities are interdependent • Explains factual, sometimes complex and potentially dynamic information to others in straightforward situations. 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

The specialist assists with acquiring, processing, integrating, and cleaning complex data from multiple sources to improve data quality and strategic decision-making, handling complex datasets with advanced statistical or machine learning methods. This role also involves contributing to the development and efficiency of analytical processes, building complex data dashboards, and developing scalable data science and machine learning processing pipelines.