Sr. Data Scientist
7 days ago
Role:
Machine Learning Developer
Total Experience: 5-8 yearsAs a Developer for machine learning, you will work in a team of experienced researchers, data scientists and applicationdevelopers taking on challenges posed by the Yash customers and product units.
You will work together with a team of dedicated experts including researchers, developers, DevOps engineers, and architects with a single goal of building best machine learning pipelines for a variety of use cases spanning commerce, agriculture, Insurance, financial markets, and procurement.
You will have the chance to work with the richest data sets available in the world addressing real-world problems.Your primary goal will be to implement state-of-the-art algorithms and to develop new approaches and technologies for deriving value from our customers' data.
You will have a chance to select and implement the best technologies and approaches based on your own experience, judgment, and experimentation results.
This role combines:
Experience with Machine Learning, NLP, Deep Learning Practical knowledge of working with scalable platforms for processing of huge data sets,Ability to understand the data, associated processes and business implications,Scaling from minimum viable product up to shippable production code,Build and maintaining innovative new products from the ground-up.
Job Role and Skills required
Quick ListRole Total Exp Must to have Good to have Data Scientist (AI) 5-8 Years
Min 3+ years of relevant experience in data analyticsExperience in developing minimum viable product related to data analyticsQualification in statistics or mathematicsAny data science certificationsGood understanding on ML & DL algorithms and frameworks (Scikit-learn, Tensorflow/Keras/ PyTorch/ H2O etc.)Should have worked on diverse projects related to NLP and computer visionWell versed with data science methodologies and frameworks (NLTK, RASA, Spacy, OpenCV, Scikit-learn, Tensorflow)Good proficiency on Python/ R/ Tableau/Power BI etc.
Minimum Qualifications, Skills
Degree in Computer Science, Information Technology,Data Science, Mathematics, Statistics, Operations Research or related fieldTrack record of developing novel learning algorithms and/or systemsProficiency in handling of multi-terabyte datasets in big data frameworksExperience with Machine and Deep Learning software packages & libraries such as Keras, TensorFlow, Scikitlearn, Spacy, NLTK, RASA, Spacy, DeepLearning4j, Caffe, Torch, Theano, etc; programming languages such as Python is must.
Ability to visualize data and present core insights in a clear and compelling wayAbility to understand business processes and drive to solve business problemsExperience in Cloud like Azure, AWS and GCP is plus.
Excellent with written and verbal communication and attitude to thrive in a fun, fast-paced startup-like environment.An attention to detail with self-discipline and a drive for resultsDemonstrated ability to work in ambiguous situationsGood at conceptualization and execution of projectsStrong business acumen to connect technology and businessGood Time Management skills – ability to prioritize tasks and projectsProactive approach to problem resolution, suggesting alternate solutionsBe able to work under tight deadlines & pressure without compromising on qualityGood communication and Strong Interpersonal SkillsWorked in distributed/cross-functional teamsPositive attitude and a team playerAt YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment.
We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.
Our Hyperlearning workplace is grounded upon four principlesFlexible work arrangements, Free spirit, and emotional positivityAgile self-determination, trust, transparency, and open collaborationAll Support needed for the realization of business goals,Stable employment with a great atmosphere and ethical corporate culture
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