Gap Inc. is hiring for an FRESHER entry level Analyst, Data Science role in India

Position:

• Analyst, Data Science

Company:

• Gap Inc.

Location:

• Hyderabad, Telangana, India

Job type:

• Full Time

Job mode:

• Onsite

Job requisition id:

• R212824

Years of experience:

• 0 to 3 Years

Company Description

• Gap Inc. is one of the most recognized global retail organizations with a long standing reputation in the fashion and apparel industry. The company operates multiple well known brands including Gap, Banana Republic, Old Navy, and Athleta, serving customers across several countries and regions. With a legacy spanning more than five decades, the organization has consistently focused on creating high quality products that cater to people from different backgrounds, lifestyles, and age groups.
• The company believes in creating a positive impact beyond just selling products. It strongly promotes diversity, equality, inclusion, and community development across its global workforce. Gap Inc. encourages employees to contribute ideas, take ownership of projects, and participate in innovative business initiatives that create measurable impact.
• The work culture emphasizes collaboration, innovation, continuous learning, and adaptability. Employees are encouraged to experiment with modern technologies, contribute toward business transformation, and solve real world business challenges using data driven approaches.
• Gap Inc. has invested heavily in technology and analytics capabilities to improve customer experience, marketing effectiveness, personalization, and operational efficiency. The organization uses modern cloud platforms, machine learning systems, and advanced analytics frameworks to support business decision making.
• The company is also recognized globally for its employee friendly work environment, wellness initiatives, equal pay policies, and inclusive workplace culture. Employees receive access to learning opportunities, professional growth initiatives, healthcare support, retirement assistance, and wellness programs.
• The organization continues to expand its technology and analytics teams to strengthen its digital transformation journey and improve customer engagement through data science and artificial intelligence capabilities.

Profile Overview:

• The Analyst, Data Science role at Gap Inc. offers an excellent opportunity for freshers and early career professionals who want to build a career in data science, analytics, machine learning, and artificial intelligence within a globally recognized retail company.
• The selected candidate will work closely with the Customer Analytics Team and contribute toward building advanced analytical capabilities that improve customer acquisition, retention, personalization, and overall business growth. The role involves working with large scale structured and unstructured datasets collected from multiple business systems and customer touchpoints.
• Candidates will participate in developing machine learning models, automating data workflows, preparing datasets for analysis, and generating insights that help business teams make informed decisions. The role provides hands on exposure to modern analytics ecosystems, cloud environments, distributed computing systems, and predictive modeling frameworks.
• The position requires strong collaboration with cross functional teams including data engineers, product teams, marketing teams, business stakeholders, and analytics professionals. Candidates will learn how to translate technical findings into meaningful business recommendations.
• The role is suitable for individuals who enjoy problem solving, statistical analysis, data storytelling, and machine learning experimentation. Candidates will also gain exposure to customer analytics, segmentation techniques, forecasting models, marketing optimization strategies, and personalization systems.
• Employees in this role are expected to maintain high quality standards, support project execution, and continuously improve analytical processes using modern technologies such as Python, SQL, Spark, Hive, TensorFlow, and cloud based data systems.
• The role also encourages learning and innovation by allowing employees to work on real business use cases involving artificial intelligence, predictive analytics, customer behavior analysis, and business optimization initiatives.
• Overall, this position provides a strong foundation for professionals looking to grow in the fields of data science, machine learning, business analytics, and advanced data engineering within a fast paced retail and technology environment.

Key Responsibilities

Data Engineering and Data Processing

• Develop automated processes and scalable software programs to manage and process large datasets efficiently.
• Clean, organize, transform, and integrate data from multiple internal and external systems.
• Build robust data pipelines for machine learning and analytics workflows.
• Handle structured and unstructured datasets across multiple business domains.
• Ensure data quality, consistency, and reliability during analytical processing.
• Work with distributed computing frameworks and cloud based environments for handling large scale data workloads.
• Collaborate with data engineers and analytics professionals to improve existing data infrastructure.
• Support optimization of data collection and transformation procedures for business applications.

Machine Learning and Artificial Intelligence

• Build machine learning and deep learning models for solving business challenges.
• Train, validate, evaluate, and optimize predictive models for improved performance.
• Apply statistical modeling techniques for customer analytics and business forecasting.
• Work on machine learning use cases related to customer segmentation, retention, personalization, and marketing effectiveness.
• Use classification, regression, clustering, and recommendation algorithms for business solutions.
• Support deployment and maintenance of AI based systems and analytical solutions.
• Analyze model outputs and identify opportunities for optimization and improvement.
• Participate in experimentation and model performance evaluation activities.

Analytics and Business Insights

• Analyze large datasets to identify patterns, trends, and business opportunities.
• Generate meaningful business insights from customer behavior and transactional data.
• Present analytical findings to stakeholders in a clear and actionable manner.
• Support business teams in making data driven decisions.
• Assist in evaluating marketing campaigns, customer engagement strategies, and business growth initiatives.
• Use visualization techniques and reporting tools to communicate analytical findings effectively.
• Translate technical analysis into understandable business recommendations.

Collaboration and Stakeholder Management

• Work closely with marketing teams, product teams, and technology teams across different business functions.
• Collaborate with cross functional stakeholders to understand business requirements and analytical needs.
• Participate in project planning, execution, and delivery activities.
• Build strong professional relationships across teams and departments.
• Contribute toward product and analytics roadmap discussions.
• Support continuous improvement initiatives within analytics projects.
• Participate in team discussions, brainstorming sessions, and innovation driven activities.

Technical and Operational Responsibilities

• Use programming languages such as Python and R for analytics and machine learning tasks.
• Write efficient SQL queries for large scale data manipulation and analysis.
• Work with tools and frameworks such as Spark, Hive, TensorFlow, and cloud platforms.
• Use scripting languages for automation and pipeline development.
• Support deployment and monitoring of analytical systems.
• Maintain documentation related to analytical workflows and project deliverables.
• Ensure quality standards are maintained during project execution.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Information Technology, Engineering, Analytics, or related quantitative fields.
• Strong understanding of machine learning concepts and predictive modeling techniques.
• Good knowledge of programming languages such as Python and R.
• Familiarity with SQL and database querying concepts for data extraction and manipulation.
• Understanding of distributed computing frameworks such as Spark or Hive is beneficial.
• Basic knowledge of cloud environments and large scale data platforms is preferred.
• Exposure to statistical analysis, data mining, and visualization techniques.
• Understanding of algorithms such as logistic regression, decision trees, clustering methods, support vector machines, and neural networks.
• Familiarity with deep learning frameworks and TensorFlow based applications is an added advantage.
• Ability to work with large datasets and perform analytical problem solving.
• Good communication and presentation skills for explaining technical findings to stakeholders.
• Strong logical reasoning and critical thinking abilities.
• Ability to work independently as well as within collaborative teams.
• Strong attention to detail and commitment toward delivering quality outcomes.
• Willingness to learn new technologies and adapt to changing business requirements.
• Good understanding of customer analytics, marketing analytics, or business intelligence concepts is beneficial.
• Candidates with internship experience, academic projects, or certifications in analytics and machine learning may have an advantage.
• Understanding of data visualization tools and reporting frameworks is preferred.
• Ability to prioritize tasks and manage multiple responsibilities in a fast paced work environment.
• Strong problem solving mindset with an interest in experimentation and innovation.

Technical Skills Preferred

• Python
• R Programming
• SQL
• Spark
• Hive
• TensorFlow
• Machine Learning
• Deep Learning
• Data Analytics
• Statistical Modeling
• Data Visualization
• Predictive Analytics
• Cloud Computing
• Business Intelligence
• Data Pipelines
• Customer Analytics
• Marketing Analytics
• Artificial Intelligence
• Distributed Computing
• Scripting Languages

Benefits and Perks

• Competitive paid time off and leave policies.
• Comprehensive healthcare and wellness benefits for employees and families.
• Annual health checkup and wellness support programs.
• Employee assistance and mental wellness initiatives.
• Retirement planning support and long term financial benefits.
• Inclusive and diverse workplace culture.
• Equal opportunity employment practices.
• Learning and career development opportunities.
• Exposure to global projects and modern technologies.
• Opportunity to work with experienced analytics and engineering professionals.
• Collaborative and innovation focused work environment.
• Strong focus on employee wellbeing and work life balance.

Additional Info:

• This role is based in Hyderabad, Telangana, India and follows a full time onsite working model.
• The position is part of the Customer Analytics Team at Gap Inc. and focuses on delivering business impact using advanced analytics and machine learning solutions.
• The role provides exposure to real world business use cases involving customer acquisition, retention strategies, personalization systems, forecasting models, and marketing optimization initiatives.
• Fresh graduates and early career professionals with strong technical and analytical skills are encouraged to apply for this opportunity.
• Candidates will get opportunities to work with modern analytics tools, cloud systems, artificial intelligence frameworks, and large scale datasets.
• The company values innovation, diversity, collaboration, and continuous learning across all teams and functions.
• Employees are expected to contribute toward both technical execution and business problem solving while working in collaborative cross functional environments.
• The organization promotes an inclusive workplace culture and ensures equal opportunities for individuals from diverse backgrounds.
• Candidates who enjoy solving analytical challenges, experimenting with machine learning models, and translating data into business insights may find this role highly rewarding.
• The role can provide strong long term career growth opportunities in areas such as data science, artificial intelligence, machine learning engineering, analytics consulting, customer intelligence, and advanced business analytics.
• Applicants with strong project work, internships, certifications, Kaggle experience, or portfolio projects related to analytics and machine learning may stand out during the hiring process.
• This opportunity allows candidates to build practical experience in enterprise scale analytics systems while contributing to real business transformation initiatives.

Please click here to apply.