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5 Data Science Job Openings At Target India You Can Apply Right Away

5 Data Science Job Openings At Target India You Can Apply Right Away


Target is an international company with more than 323,000 team members around the world — with headquarters in the US. A Fortune 50 company with more than $69 billion in annual revenue, Target strives to fulfil the needs of millions of guests across the globe.



Set up in 2005, Target India operates as a fully-integrated part of the global team. Located across two locations, Embassy Manyata Tech Park and Embassy Golf Links in Bengaluru, Target India is the extended headquarters of the company. Over 2,600 team members in the city are engaged in work that supports Target’s strategy across business areas like technology, marketing, human resources, finance, merchandising, supply chain, and analytics and reporting.

Data engineering is one of the pivotal tasks at Target. Here is a list of five data science job opportunities at Target’s Bengaluru office that you can apply right away.

Item Data Analyst

An Item Data Analyst leads the operational strategy for the team and provides coaching on the day-to-day activities of the team and establishes the operational goals and measurements (i.e. LOS, productivity, data quality). Creates plans and daily routines for the Item Data Specialists to meet the goals and communicate performance expectations.

Requirements

  • 3-year degree or equivalent and a minimum of 4 years’ experience
  • Data analysis & reporting skills
  • Demonstrated expertise in an area of Merchandise Planning/Operations, Buying, Digital Operations, Project
  • Ability to work with and coordinate cross-functional efforts
  • Analytical and critical thinking skills
  • Exceptional communication and organizational skills
  • Ability to develop effective partnerships
  • Demonstrated ability to work on multiple projects at the same time, simultaneously managing a working team.

Apply here

Analyst BI and Analytics

Target is offering an exciting opportunity for data wranglers, scientists and enthusiasts who want to analyse data, write algorithms and build models using large and diverse datasets.

Requirements

  • Framing business problems in terms of precise mathematical hypothesis
  • Formulating statistical, machine learning or mathematical solutions to test and determine automated solutions to business problems
  • Deploying algorithms and solutions using big data environment
  • R/Python/Scala
  • Knowledge in statistics/ operations management/ mathematics
  • MTech or MS (Statistics, Economics) with relevant analytics experience of 6+ years
  • BTech or BE (Engineering) with relevant analytics experience of 8+ years
  • Domain experience: in solving business problems in the supply chain on logistics, labour management, automation, inventory management, network planning will be preferred.

Apply here

Senior Analyst BI and Analytics

The Senior Analyst is responsible for framing business problems in terms of precise mathematical hypothesis and formulating statistical, machine learning or mathematical solutions to test and determine automated solutions to business problems. And, deploying algorithms and solutions using big data environment.

Requirements

  • Good programming skills in R/ Python/ Scala. Basic skills in SQL/ Hive would be required
  • Knowledge in statistics/ operations management/ mathematics

Educational background:

  • MTech or MS (Statistics, Economics) with relevant analytics experience of 6+ years
  • PhD with relevant experience of 3+ years
  • BTech or BE (Engineering) with relevant analytics experience of 8+ years
  • Domain experience: in solving business problems in supply chain on logistics, labour management, automation, inventory management, network planning will be preferred.

Apply here

See Also

Lead Data Engineer

As a Lead Data Engineer, you’ll have the opportunity to create software solutions using Agile practices and DevOps principles. Responsibilities will include designing, programming, debugging and supporting high quality, distributed, and large-scale software solutions on the latest Big Data tech stack.  Designing and building data pipelines using large data sets on game-changing services/products in the innovative Enterprise Data Lab.

Requirements

  • Develop software systems using test-driven development employing CI/CD practices
  • Partner with other engineers and team members to develop software that meets business needs
  • Follow Agile methodology for software development and technical documentation
  • BS degree in Computer Science or relevant experience
  • 5+ years’ experience in developing software applications
  • 3+ years’ experience working on Big Data technologies like Hadoop, Spark, Scala and Hive
  • Extensive understanding of application/software development and design
  • Proficiency in at least one of the following languages: Java, Scala, Python
  • Experience with REST APIs’ and services preferred
  • Experience/knowledge of streaming solutions: Kafka, Apex
  • Experience in No SQL database.

Apply here

Lead Data scientist

A Lead Data Scientist will support all business areas of Target with critical data analysis that helps team members make profitable decisions and become a forecasting expert, business analyst or team lead while utilising tools like decision trees, clustering, regression, time series, structural equation modelling, linear programming, genetic algorithms, SAS, SQL, VBA and OLAP.

Requirements

  • Execute solutions to business problems using data analysis, data mining, optimization tools, and machine learning techniques and statistics
  • Build data-science and technology-based algorithmic solutions to address business needs.
  • Execute large scale models using Logistic Regression, Linear Models Family (Poisson models, Survival models, Hierarchical models, Naïve-Bayesian estimators), Conjoint Analysis, Spatial models, Time-series models, Text mining
  • B.Tech (+8 years of relevant exp), M.Tech, M.Sc. (+6 years of relevant exp), PhD (+3 years of relevant experience) in Engineering, Operation Research, Mathematics, Engineering, Statistics preferred
  • Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impactful solutions through logical problem solving and technical ideations
  • Ability to learn new analytical methods and technologies and apply in practical business problems

Apply here


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