Position:
Role: Advanced Data Science Associate
Company:
Name: ZS Associates
Industry: Management Consulting and Technology
Location:
Primary Locations: Gurgaon, India; Noida, India
Country: India
Job Type:
Category: Insights & Analytics
Job Mode:
Work Mode: Flexible and connected (combination of work from home and on-site presence)
Job Requisition ID:
ID: 19122
Years of Experience:
Required Experience: Not explicitly mentioned; as per JD - 0 to 3 years
Company Description:
ZS is a leading management consulting and technology firm dedicated to improving life and solving critical challenges for businesses, patients, caregivers, and consumers globally.
The company values its people as its most important asset and promotes a collaborative, client-focused approach.
ZS emphasizes diversity, equity, and inclusion by supporting various networks to cultivate community spaces and provide resources for employees to thrive.
ZS’s mission is to deliver impactful solutions by leveraging cutting-edge technology and deep industry expertise, fostering innovation and bold ideas.
The company offers a workplace culture that values personal growth, curiosity, and passion for making a difference in the world.
Profile Overview:
The Insights & Analytics group at ZS partners with clients to tackle diverse business challenges by delivering advanced analytical solutions.
Teams at ZS work on multiple projects simultaneously, utilizing sophisticated data analytics and problem-solving techniques to generate actionable insights.
The role involves developing statistically efficient algorithms to address high-dimensional problems.
Collaboration with clients and stakeholders is key to effectively communicating findings and integrating analytical solutions into business strategies.
The position also includes exploring emerging datasets and technologies to enhance ZS’s analytical platforms.
This is a dynamic role that requires a strong technical skill set, innovative thinking, and a passion for driving measurable impact.
Qualifications:
Educational Background:
Master’s degree in Computer Science, Statistics, or a related field.
Academic performance showcasing strong analytical and quantitative skills.
Technical Expertise:
Proficiency in big data analytics and advanced algorithms, including text mining, predictive modeling, and social listening.
Strong command of at least one programming language (e.g., Java, Python, or R).
Technological Familiarity:
Experience with tools like the Hadoop ecosystem, Amazon Web Services (AWS), or other database systems.
Soft Skills:
Fluency in English.
Ability to collaborate effectively with team members and clients.
Strong problem-solving skills and a proactive approach to learning and innovation.
Additional Info:
Responsibilities:
Develop and implement advanced statistical algorithms to solve complex problems.
Utilize machine learning techniques, hypothesis testing, and data mining to derive insights and trends.
Present findings to stakeholders, ensuring clear communication of analytical results.
Continuously assess new datasets and technologies to enhance the analytical capabilities of ZS.
Perks & Benefits:
Comprehensive rewards package covering health, financial planning, and personal growth.
Robust skills development programs and opportunities for career progression and internal mobility.
A flexible work model that combines remote work with on-site collaboration to foster innovation and culture.
Application Process:
Candidates must have work authorization for the intended country of employment.
Submit an online application, including a complete set of transcripts (official or unofficial).
ZS welcomes applicants from diverse backgrounds, encouraging those who may not meet all qualifications to apply.
Conclusion:
ZS is dedicated to building a diverse and inclusive workforce, where employees can bring their passions to inspire impactful outcomes.
The company’s collaborative and innovative environment ensures that employees thrive both professionally and personally.
Interested candidates are encouraged to explore more about ZS at www.zs.com and apply for this rewarding opportunity.
Please click here to apply.
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