Lead Data Scientist
Lead Data Scientist
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Job Description
About us: As a Fortune 50 company with more than 450000 team members worldwide Target is an iconic brand and one of Americas leading retailers. Target in India operates as a fully integrated part of Targets global team and has more than 4000 team members supporting the companys global strategy and operations.
About Target Tech: Every time a guest enters a Target store or browses nor the app they experience the impact of Targets investments in technology and innovation. Were the technologists behind one of the most loved retail brands delivering joy to millions of our guests team members and communities.
Join our global inhouse technology team of more than 5000 of engineers data scientists architects and product managers striving to make Target the most convenient safe and joyful place to shop. We use agile practices and leverage opensource software to adapt and build bestinclass technology for our team members and guestsand we do so with a focus on diversity and inclusion experimentation and continuous learning
About Team: A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics Optimization or Machine Learning teams youll be challenged to harness Targets impressive data breadth to build the algorithms that power solutions our partners in in Marketing Supply Chain Optimization Network Security and Personalization rely on.
Position overview:
Develop and deploy scalable deep learning models to improve experience of Target guest
Architect and implement largescale AI systems using testdriven development practices
Build NLP technology for query and document analysis processing and understandig
Create data pipelines for feature/label extraction and generation
Conduct data analysis to identify opportunities and improve models
Conduct research to advance the stateoftheart machine learning and NLP technologies
Contributing to the operations/building of AI pipelines
Adopting Targets infrastructural platforms and operationalize tools and systems around them
Mentor and partner with other engineers to develop software that meets business needs
Follow agile methodology for software development and technical documentation
Innovate constantly and keep systems up to date with current technologies
About you:
4year degree in Quantitative disciplines (Science Technology Engineering Mathematics) or equivalent experience
MS in Computer Science Applied Mathematics Statistics Physics or equivalent work or industry experience
6 years of experience in endtoend application development data exploration data pipelining API design optimization of model latency
2 plus years of experience deploying Machine Learning algorithms into production environments including model and system monitoring and troubleshooting
Highly proficient programming in Java/ Scala and/ or Python
Good understanding of Big Data tech specifically Hadoop Kafka Spark
Solid understanding of data analysis techniques including data cleaning preprocessing and visualization
Demonstrated ability collaborating with data scientists software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale
Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations graphs and narratives
Selfdriven and results oriented able to meet tight timelines
Know More About Us Here:
Life at Target us on social media: Tech
Employment Type
Full-Time
Key Skills
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