Position:
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Data Scientist
Company:
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Target (Target Tech division)
Location:
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Tower 02, Manyata Embassy Business Park, Bangalore, Karnataka, India, 560045
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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R0000392606
Years of experience:
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0–3 years
Company description
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Target is a global retailer recognized for creating joyful experiences for families and communities every day.
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The organization combines innovation, culture, and customer-centric values to serve millions of households worldwide.
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With a strong emphasis on inclusivity, Target values diverse perspectives and empowers its employees to bring their authentic selves to work.
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The company invests deeply in both technology and people, blending cutting-edge tools with a supportive environment.
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Target in India (TII) is a hub for innovation and operational excellence, driving solutions in retail technology, analytics, and digital transformation.
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Benefits offered include healthcare, flexible insurance, paid leave, pension systems, wellness programs, and broadband reimbursement.
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The workplace culture prioritizes growth, inclusivity, and recognition of contributions across geographies.
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Target fosters connection, authenticity, and accountability, ensuring employees are empowered to achieve results while maintaining work-life balance.
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Growth opportunities are central, with leadership encouraging personal and professional development.
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Employees are motivated to innovate, learn continuously, and deliver impact in a collaborative setup.
Profile overview
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The Data Scientist role sits within Target Tech’s Data Sciences team.
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This role focuses on building predictive algorithms and analytical models that leverage Target’s large-scale data ecosystem.
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Areas of work include marketing, supply chain optimization, network security, and customer personalization.
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Candidates are expected to apply strong mathematical and programming foundations to solve real-world retail challenges.
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Work involves performing data exploration, analyzing distributions, identifying anomalies, and creating simple visualizations.
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The role emphasizes implementing algorithmic solutions, adhering to best practices in model development, and ensuring code quality with tests and documentation.
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Proficiency in programming languages such as Python, R, Java, or Scala is expected.
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Agile methods are used, with team members contributing prototypes, collaborating on components, and participating in code reviews.
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Understanding Target’s business priorities is encouraged to align solutions with real strategic goals.
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Overall, the position offers a chance to shape intelligent systems that power decision-making for a global retailer.
Qualifications
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A four-year degree in a quantitative field such as Science, Technology, Engineering, or Mathematics, or equivalent industry experience.
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Strong grounding in probability, linear algebra, and statistics.
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Good working knowledge of at least one domain such as optimization, statistical learning, natural language processing, simulation, or time series analysis.
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Demonstrated analytical skills, with the ability to design innovative solutions to complex problems.
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Hands-on programming experience in languages and tools such as Python, SQL, Hadoop, and Hive.
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Ability to apply statistical methods such as regression, clustering, principal component analysis, and forecasting.
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Strong communication skills to create narratives, reports, and visualizations that highlight insights effectively.
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Self-driven and motivated to produce impactful work while collaborating with peers across geographies and time zones.
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Capable of writing structured, maintainable, and tested code following programming best practices.
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Passionate about solving real-world challenges using data-driven methods and enthusiastic about continuous learning.
Additional info
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Core responsibilities may evolve over time, depending on business needs.
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Emphasis on adhering to agile practices while contributing to prototypes and scalable software solutions.
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Exposure to different components within Target’s business domains, offering opportunities to broaden technical and functional expertise.
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Participation in cross-functional collaborations, knowledge sharing, and peer reviews.
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Benefits include health support, pension programs, day-care assistance, flexible insurance, and tele-counseling services.
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Paid leave options include privilege leave, casual leave, parental leave, and bereavement leave.
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Additional perks include transportation, cafeteria digitization, broadband reimbursement, and wellness programs.
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Competitive compensation designed to reflect equitable pay and foster loyalty.
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A culture built on inclusivity, authenticity, respect, and continuous progress.
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The role provides not just technical challenges but also the satisfaction of contributing to Target’s vision of delivering joy every day.
Please click here to apply.
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