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

Position:

• Data Scientist within the Item Science group, contributing to technical problem solving, model creation, and solution development for product and engineering teams

• Member of a structured Data Sciences function where the main expectation is to support business partners with strong analytical work

• Contributor to projects that support merchandising, item quality, digital experience, content programs, listing accuracy, and related workstreams

• Participant in research activities where coding, modelling, documentation, review discussions, and refinement cycles are part of the daily workflow

• Support function for product teams that rely on machine learning, natural language processing, computer vision, and modern modelling approaches

• Engaged in daily standup conversations with peers to share progress and challenges while maintaining alignment with broader organisational expectations

• Active participant in internal meetings where problem statements are converted into measurable tasks with clear technical pathways

• Expected to use both scientific thinking and coding proficiency to assist in the development of tools and platforms that guide business decision making

• Works on targeted assignments assigned by senior scientists and engineering partners to convert planned concepts into functioning components

• Collaborates with other developers, analysts, data engineers, and testing teams to ensure quality in the final output

• Expected to maintain a strong attitude of curiosity, steady learning, and structured thinking while completing assigned responsibilities

• Encouraged to take ownership of individual tasks while keeping clarity on team wide objectives and technical constraints

• Works closely with mentors to understand the reasoning behind chosen approaches in modelling and feature construction

• Supports the group by preparing experiments, interpreting outcomes, proposing improvements, and presenting findings in a structured format

• Contributes toward documentation efforts which help the organisation preserve knowledge for later teams and future analysis requirements

• Expected to approach the role with patience and analytical discipline since the challenges evolve with business conditions and customer behaviour

Company:

• Target Corporation India Private Limited which operates as an integrated extension of the global Target organisation

• Functions as a key division supporting the retailer’s worldwide operations from the Bengaluru office

• Part of a global business that is one of the largest retailers in the United States with hundreds of thousands of employees

• Known for creating a supportive and respectful environment where diverse perspectives contribute to large scale outcomes

• Offers significant exposure to domains like merchandising, supply chain, digital operations, marketing, item systems, and product technology

• Strong focus on problem solving, collaborative culture, steady learning, and responsible work ethics

• Recognised globally for reliability, structured systems, and clearly defined business processes

• Invests steadily in its technology organisation so teams can experiment, learn, and deliver meaningful solutions

• Ensures that its India division mirrors the global values of unity, respect, and equity across all functions

• Encourages collaboration across continents as teams frequently coordinate with United States based groups

• Maintains a unified culture where every team member is respected for their ideas and contributions

• Known for structured programs that help employees grow professionally and personally

• Stresses the importance of emotional intelligence, respect, communication, and clarity in work environments

• Functions as a global organisation where analytical thinking, customer focus, and innovation are strongly encouraged

Location:

• Bengaluru in the state of Karnataka in India

• Office environment where technology talent from different backgrounds collaborates regularly

• Access to various teams across analytics, engineering, digital products, and business operations

• Part of the company’s strategic centre where more than four thousand team members support global functions

• Provides exposure to global workflows while operating from a key technology hub within India

Job type:

• Full time position with consistent weekly work schedules

• Structured role with clear reporting requirements and team wide deliverables

• Includes technical analysis, design discussions, modelling work, experimentation cycles, and documentation tasks

• Continuous learning and skill development are encouraged as part of regular responsibilities

Job mode:

• Onsite presence within the Bengaluru office

• Requires consistent collaboration with peers, leaders, and cross functional groups

• Supports in person brainstorming and regular engagement with internal teams

Job requisition id:

• R0000422995

Years of experience:

• Suitable for early career applicants (0-3 years)

• Designed to accept a range of experience levels provided the candidate possesses strong fundamentals

• Accepts applicants who can demonstrate clear problem solving ability even without extensive professional experience

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Company description:

• The organisation is one of the largest retail chains based in the United States with a strong presence in global markets. It operates at a scale that requires thousands of technology professionals to maintain smooth functioning of supply chain systems, merchandising decisions, digital platforms, marketing programs, and core business operations. The company has built its reputation on trust, customer care, and reliable service. Its India operation serves as a central part of the global organisation rather than an outsourced unit, which allows teams in Bengaluru to work on meaningful and high impact tasks daily.

• Employees experience a workplace culture that encourages respect, inclusion, thoughtful communication, and collaborative progress. The company invests significant effort in creating a community focused on real development rather than routine task execution. Knowledge sharing sessions, internal guidance programs, peer reviews, and open communication practices are part of daily life. The intention is to help each team member grow into a more capable and confident professional.

• The company values people who are willing to approach challenges with patience and analytical discipline. Strong professionalism, self awareness, empathy toward colleagues, and clarity in communication are appreciated greatly. This emphasis on culture makes the organisation a place where people feel supported even while working on complex and large scale programs.

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Profile overview:

• The Data Scientist role sits within the Item Science team which focuses on creating models, tools, experiments, and analytical systems that support item related workflows across digital and merchandising functions. This work includes natural language methods, image based techniques, structured data modelling, and the use of advanced algorithms for classification, extraction, generation, prediction, and ranking applications.

• As part of this team, you will work on diverse tasks that combine scientific thinking with careful coding. Many responsibilities involve understanding requirements, converting them into experiment plans, running tests, evaluating outputs, improving model behaviour, and preparing appropriate documentation. You will learn to interpret data in detail and gain a clear sense of how the retail business depends on information accuracy at scale.

• You will collaborate closely with other scientists, engineers, analysts, and product partners. These interactions help you understand both the technical and the business side of every task. You will present findings to peers in a clear and structured way, which strengthens communication skills. You will also participate in agile routines to keep project execution on track.

• The role trains you to build strong fundamentals in programming, algorithm design, model training, feature engineering, data understanding, and system thinking. You will rely on both mathematical intuition and hands on coding as you progress through multiple problem statements across the year.

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Qualifications:

• Four year degree in any quantitative background such as science, engineering, mathematics, or technology. Equivalent strength in analysis and programming is also acceptable for applicants who followed alternative paths.

• Strong grounding in mathematical ideas that support modelling work including probability, statistics, algebra, and numerical thinking.

• Good understanding of coding practices including structuring codebases, writing clean functions, applying unit tests, and maintaining readability.

• Working experience or learning experience in Python and SQL along with comfort using distributed systems like Hadoop or Hive.

• Familiarity with deep learning methods, neural networks, computer vision, natural language tools, and modern modelling frameworks.

• Ability to read data carefully, construct features, identify issues, generate insights, and suggest directions for improvement.

• Skill in preparing clear communication material including visual summaries, graphs, explanation text, and data driven narratives.

• Ability to work calmly and systematically while managing uncertainties that come with modelling work.

• Comfortable collaborating with people across different time zones and cultural backgrounds.

• Self motivated mindset with strong interest in solving meaningful problems that affect real customers and business decisions.

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Additional info:

• The organisation encourages a calm and supportive culture. Respectful behaviour, patience, and kindness form the base of daily interactions. You are expected to contribute positively to this environment.

• While the role demands technical ability, it also requires steady communication skills. You will share findings with teammates regularly which strengthens clear thinking.

• The company encourages you to keep learning continuously. Tools, methods, platforms, and customer behaviour change regularly which encourages steady growth.

• The company also offers various benefits like healthcare programs, financial support options, wellness resources, and paid time off. These programs are designed to help employees maintain balance in both personal and professional life.

• Work at this scale exposes you to real world problems that shift with seasons, promotions, customer tendencies, supply chain conditions, and many other factors. You will develop the ability to work with uncertainty while maintaining clarity in your approach.

• The role will involve regular code reviews where you learn from peers and mentors. These sessions help you refine your logic, structure, and coding style.

• You will operate within a large system where every component interacts with many others. This helps you understand the broader context behind each assignment and how your work influences larger programs.

Please click here to apply.