Gojek is hiring for an FRESHER entry level Data Scientist role in India

Position:

• Data Scientist Pricing

• Entry level opportunity within the pricing and fulfilment function

• Focused on data driven decision making for on demand services

• Designed for freshers and early career professionals interested in applied data science

• Role centered around real time systems and large scale marketplace problems

Company:

• Gojek

• Part of the GoTo Group ecosystem

• A leading technology platform operating across Southeast Asia

• Known for transportation, food delivery, logistics, and financial services

• Operates at massive scale with millions of daily transactions

• Strong focus on technology driven problem solving and user impact

Location:

• Bengaluru

• India

• One of the primary technology hubs for the company

• Close collaboration with regional teams across Asia

• Access to a strong engineering and data community

Job type:

• Full time employment

• Permanent role

• Individual contributor position

• Integrated into a cross functional product team

Job mode:

• Hybrid

• Combination of office based collaboration and flexible work

• Designed to support productivity and team interaction

• Alignment with global team time zones

Job requisition id:

• Not explicitly specified

• Internal tracking handled by the company recruitment systems

• Candidates are evaluated through official hiring channels

Years of experience:

• Fresher friendly role

• Open to entry level candidates

• Suitable for candidates with academic projects or internships

• No mandatory prior industry experience required

• Focus on foundational knowledge and learning ability

Company description

• Gojek operates as a core pillar of the GoTo Group digital ecosystem

• The company connects consumers, drivers, merchants, and businesses through technology

• Services span ride hailing, food delivery, grocery delivery, logistics, and payments

• The platform supports millions of users across multiple countries every day

• Gojek plays a major role in enabling digital access and economic opportunity

• The organization focuses on solving real world problems using scalable technology

• Products are built with an emphasis on reliability, efficiency, and user trust

• The company invests heavily in data, engineering, and product innovation

• Teams operate across borders, promoting diverse perspectives and collaboration

• Gojek maintains a strong culture of ownership, curiosity, and continuous improvement

• The company aims to create impact that benefits customers, partners, and communities

• Employees are encouraged to grow professionally while contributing to meaningful work

• Gojek values integrity, inclusion, and long term thinking in all its initiatives

Profile overview:

• This role sits within the fulfilment and pricing domain of Gojek

• The focus is on improving how supply and demand are balanced in real time

• The data scientist works on problems that directly affect customer experience

• Pricing decisions influence order completion rates and driver earnings

• The role requires translating business needs into analytical problems

• Collaboration is a core part of daily work with product and engineering teams

• The candidate will work on models that operate under dynamic market conditions

• Exposure includes experimentation, modeling, and decision making systems

• Early contributions are expected within the first few months

• The work environment encourages independent thinking and ownership

• Problems are often open ended and require structured reasoning

• The role blends statistics, machine learning, and business understanding

• The outcome of the work is visible at scale across millions of transactions

• Candidates gain experience working with complex marketplace data

• Learning is accelerated through mentorship and real world challenges

• The role is ideal for those who want applied impact rather than academic theory

• Communication skills are important to explain insights to non technical teams

• Success is measured through measurable business and user outcomes

What you will do

• Analyze large datasets related to pricing, demand, and supply

• Convert ambiguous business questions into analytical tasks

• Work closely with product managers to define success metrics

• Partner with engineers to implement models in production systems

• Contribute to pricing logic that adapts to market conditions

• Support driver allocation and incentive related decisions

• Apply statistical methods to understand user and driver behavior

• Build machine learning models for prediction and optimization

• Participate in the full lifecycle of model development

• Test hypotheses through controlled experiments

• Evaluate model performance using well defined metrics

• Identify areas where pricing systems can be improved

• Use causal reasoning to understand the impact of changes

• Communicate findings clearly to business stakeholders

• Document assumptions, limitations, and tradeoffs

• Iterate on models based on feedback and observed results

• Monitor deployed solutions for stability and accuracy

• Learn from failures and improve approaches continuously

• Work independently while aligning with team goals

What you will need

• A degree in computer science, statistics, machine learning, or a similar field

• Strong foundation in probability and statistical reasoning

• Understanding of core machine learning concepts

• Hands on experience through coursework or projects

• Ability to write clean and efficient Python code

• Working knowledge of SQL for data querying

• Familiarity with data analysis libraries and tools

• Logical thinking and structured problem solving skills

• Comfort working with imperfect or noisy data

• Ability to explain technical ideas in simple language

• Interest in solving applied business problems

• Openness to feedback and learning from others

• Collaborative mindset when working across teams

• Self motivation and ownership of assigned tasks

• Curiosity about how large scale systems operate

• Ethical approach to data usage and experimentation

About the team

• The fulfilment team focuses on high impact operational problems

• The team supports food delivery, ride services, and logistics

• Real time systems power decisions in milliseconds

• Problems involve balancing efficiency, cost, and experience

• Team members come from data, engineering, and product backgrounds

• Collaboration across countries is a regular part of work

• The team owns pricing, incentives, and allocation logic

• Decisions directly affect millions of daily orders

• Data is used not just for analysis but for live decision making

• Experimentation is a key tool for learning and validation

• The team works with rich datasets and modern infrastructure

• Emphasis is placed on building reliable and scalable systems

• Members are encouraged to grow both technically and personally

• Knowledge sharing is part of the team culture

• Informal bonding activities strengthen collaboration

• The environment supports curiosity and long term growth

Qualifications:

• Academic training in a quantitative discipline

• Exposure to applied data science through projects

• Understanding of supervised and unsupervised learning

• Knowledge of regression and classification techniques

• Familiarity with experimentation concepts

• Comfort interpreting results and drawing conclusions

• Basic understanding of optimization problems

• Ability to reason using data rather than intuition alone

• Experience working with structured datasets

• Awareness of data quality and bias issues

• Willingness to document and justify decisions

• Ability to manage time and priorities effectively

• Interest in real time systems and marketplaces

• Positive attitude toward complex challenges

• Commitment to continuous learning

Additional info:

• Gojek operates only through official hiring channels

• Candidates should verify job postings through company platforms

• The role offers exposure to large scale data problems

• Learning opportunities come from real production systems

• Performance is evaluated through impact and collaboration

• Growth paths exist within data science and product roles

• The company supports diversity and inclusive hiring

• Employees work alongside experienced professionals

• The organization encourages experimentation and innovation

• Ethical data practices are strongly emphasized

• The role provides strong industry exposure early in career

• Work contributes directly to user and partner outcomes

• The environment supports long term professional development

Please click here to apply.