ZS is hiring for a fresher entry level Data Scientist role in India

Position:

• Advanced Data Science Associate

Company:

• ZS

Location:

• Bengaluru, India

Job Type:

• Full-time

Job Mode:

• Hybrid (Work from home and on-site presence at clients/ZS offices)

Job Requisition ID:

• 21862

Years of Experience:

• Not explicitly mentioned; open to qualified candidates
• As per JD, looks like a fresher entry level role; 0-3 years
  

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Company Description:

• ZS is a globally recognized management consulting and technology firm dedicated to improving life through innovative solutions.
• The company is renowned for its people-centric approach, considering its employees its most valuable asset.
• ZS fosters a collaborative environment where professionals from diverse backgrounds work together to develop customized solutions that drive business success.
• The organization partners with clients to create value-driven technology products, offering impactful solutions in critical areas of business strategy.
• ZS strongly believes in a culture of curiosity, innovation, and passion, encouraging employees to bring bold ideas and problem-solving abilities to make a significant difference in industries such as healthcare, technology, and business analytics.
• The company prioritizes diversity, equity, and inclusion, ensuring that employees feel valued and supported regardless of their background, experiences, or belief systems.
• Employees have access to various resource groups and community networks designed to help them thrive professionally and personally.
• ZS's global presence ensures a rich environment of knowledge sharing, cross-functional collaborations, and continuous learning opportunities.

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Profile Overview:

• The Insights & Analytics division at ZS plays a crucial role in helping businesses solve complex challenges by leveraging advanced data-driven solutions.
• The team works on multiple projects simultaneously, employing cutting-edge analytical techniques to deliver meaningful insights.
• Data science professionals at ZS utilize innovative methodologies, including machine learning, artificial intelligence, and statistical modeling, to derive actionable recommendations.
• The role of an Advanced Data Science Associate involves contributing to the development of sophisticated algorithms that enhance business decision-making processes.
• Collaboration is a key aspect of this role, requiring engagement with internal teams, stakeholders, and clients to communicate findings and integrate solutions effectively.
• The position demands strong analytical thinking, technical expertise, and a problem-solving mindset to develop and optimize advanced models.
• ZS's work culture promotes continuous learning, enabling employees to stay at the forefront of emerging technologies and industry trends.
• The Advanced Data Science Associate is expected to assess new datasets, explore technological advancements, and enhance existing analytical frameworks to provide cutting-edge solutions.

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Responsibilities:

Algorithm Development & Implementation:

• Design and implement statistically robust algorithms that address complex, high-dimensional business challenges.
• Develop machine learning models and data-driven solutions to optimize decision-making processes.
• Leverage big data methodologies to create predictive analytics models tailored to business needs.

Data Analysis & Insights Generation:

• Utilize statistical techniques such as hypothesis testing and regression analysis to identify patterns and trends in large datasets.
• Apply machine learning and artificial intelligence techniques to extract insights from structured and unstructured data sources.
• Conduct exploratory data analysis (EDA) to uncover valuable business insights.

Collaboration & Communication:

• Work closely with internal stakeholders and clients to understand business challenges and design data science solutions.
• Present complex analytical findings in a clear, concise, and actionable manner to both technical and non-technical audiences.
• Collaborate with cross-functional teams, including engineers, consultants, and business analysts, to integrate data-driven insights into operational strategies.

Emerging Technologies & Innovation:

• Continuously assess new technologies, tools, and datasets that can enhance analytical capabilities.
• Stay updated with the latest advancements in machine learning, artificial intelligence, and big data platforms.
• Contribute to the development and enhancement of ZS's analytical frameworks and best practices.

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Qualifications:

Educational Background:

• A Master’s degree in Computer Science, Statistics, Data Science, or a related field is required.
• Strong academic track record with coursework emphasizing statistical analysis, data science, and computational techniques.

Technical Skills:

• Solid understanding of advanced analytical concepts and big data processing.
• Proficiency in at least one programming language, such as Java, Python, or R.
• Experience working with big data tools and platforms, including Hadoop, Spark, and cloud computing services (AWS, GCP, or Azure).
• Familiarity with database management systems and query languages.

Machine Learning & AI Expertise:

• Knowledge of machine learning algorithms, deep learning frameworks, and predictive modeling techniques.
• Hands-on experience with data mining, natural language processing (NLP), and recommender systems.
• Ability to implement AI-driven solutions to solve real-world business problems.

Soft Skills & Communication:

• Strong problem-solving abilities and analytical thinking.
• Excellent verbal and written communication skills, with fluency in English.
• Ability to work in a collaborative, team-oriented environment while also being self-driven.

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Additional Info:

Perks & Benefits:

• Health & Well-being: Comprehensive healthcare benefits, wellness programs, and mental health support.
• Financial Planning: Retirement savings plans, investment options, and financial advisory services.
• Career Growth: Access to mentorship programs, leadership development, and continuous learning opportunities.
• Work-Life Balance: Flexible work arrangements, remote work options, and paid time off policies.

Flexible & Connected Work Model:

• ZS promotes a hybrid work model that combines remote work with in-office collaboration.
• Employees have the opportunity to work from home while also benefiting from face-to-face interactions with teams and clients.
• The flexible work structure ensures employees maintain work-life balance while maximizing productivity.

Diversity & Inclusion Commitment:

• ZS is dedicated to fostering an inclusive and diverse workplace where employees feel valued.
• The company encourages individuals from all backgrounds to apply, even if they don’t meet 100% of the listed qualifications.
• Various employee resource groups (ERGs) and networking opportunities support a culture of belonging and mutual growth.

Application Process:

• Candidates must possess work authorization for their intended country of employment.
• A complete online application is required, including official or unofficial academic transcripts.
• No agency calls or solicitations are entertained during the hiring process.

Please click here to apply.

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